Session Abstract – PMWC 2022 Silicon Valley


The value of data in healthcare is undeniable and realized when raw information is successfully converted into knowledge that changes clinical practice. To drive value improvements and ensure that the right patient receives the right care requires the right data in combination with the right data analytics. This session will cover various aspects and challenges of data science in hospitals and health systems that drive healthcare with better outcomes.

Sessions:

  • Data Sharing Application: Needs, Advancements, and Challenges
    - Russ Cucina, UCSF
  • Trustless Data Sharing; Expected Effects on Healthcare Industry
    Session Chair: Riddhiman Das, TripleBlind
    - John Halamka, Mayo Clinic
  • Next-Generation Data Sharing: Discoverable, Accessible, Interoperable Data
    Session Chair: John F. Kalafut, Asher Orion Group
    - Joel Sevinsky, Theiagen Genomics
    - Ittai Dayan, Rhino Health
    - Russ Cucina, UCSF
    - Sharmila Majumdar, UCSF
    - Ashok Chennuru, Anthem
  • Sustainable Data Systems via FAIR Data Principles
    Session Chair: Alex Sherman, MGH
    - Wade Davis, Karius
  • Multi-Factor Data Science to Inform Clinical Research
    Session Chair: Charlotte Nelson, MATE Bioservices
    - Gundolf Schenk, UCSF
  • Translational AI: Innovation to Clinical Implementation and Reimbursement
    Session Chair: John J. Sninsky, Translational Consultant
    - Katy Wack, PathAI
    - Steve Anderson, LabCorp
    - Nigam Shah, Stanford
    - Rachael A Callcut, UCD
  • Leveraging Multiomic Data to Advance Rare Disease Drug Discovery and Development
    Session Chair: Patrice P Denefle, Centogene
    - Purvesh Khatri, Stanford
    - Marina Sirota, UCSF
  • AI/ML in Hospitals and Clinics / Digital Health Transformation / Predicting Clinical Outcomes
    Session Chair: Robert Hauser, Vidence
    - Alan Kaplan, LLNL
    - Peter Yu, Hartford Healthcare
    - Amir Bahmani, Stanford
    - Andrew Le, Buoy Health
  • PMWC 2022 Showcase
    - Kelly Hall, InheRET, Inc.

 Session Chair Profile

Ph.D., Founder & Principal, Asher Orion Group

Biography
Dr. Kalafut advises innovators, vendors and investors in Artificial Intelligence and Machine Learning in healthcare. Offering market insights, product development guidance, solution architecture and healthcare digital transformation, scientific and clinical development support. He is the principal inventor or co-inventor on 38 US patents and ~15 pending applications. Many of his inventions are used in practice around the world, across nuclear medicine and radiological agent delivery, diagnostic and interventional cardiology devices, and patient monitoring systems. Before founding AOG, John was Chief Scientist of Informatics Research at GE Healthcare. His stewardship of an AI-enabled, diagnostic pathway solution led to their first Breakthrough Designation by the US Food and Drug Administration. He led architecture of learning platforms and applications co-created by GE Healthcare and its clinical partners at world-renowned academic health systems, including Mass General Brigham Healthcare and Boston Children’s Hospital. John was instrumental in the founding of the UK’s National Consortium of Intelligent Medical Imaging (NCIMI) and was a co-Principal Investigator on Digital Pathology and Diagnostic (DART). Prior to GE, he held various development, research and innovation roles across medical device and pharmaceutical organizations. John received a PhD in Electrical/Bioengineering from the University of Pittsburgh, a Master of Engineering in Bioengineering and Computational Neuroscience from the University of Pittsburgh, and a Bachelor’s in Physics and Electrical Engineering from the University of Scranton.


 Session Chair Profile

Ph.D., CSO, MATE Bioservices

Biography
Charlotte Nelson received her PhD from the University of California, San Francisco in Biological and Medical Informatics under the mentorship of Dr. Sergio Baranzini and Dr. Atul Butte. Here she envisioned the use of SPOKE, a heterogeneous knowledge graph, not solely as a graph for users to go from one node to another, but as a stage for biomedical innovation. This vision saw her embed the data from millions of patients onto SPOKE. Her research has showcased multiple clinical and pharmaceutical applications of SPOKE enhanced with real world data. Additionally, in collaboration with NASA, she showed that SPOKE’s capabilities could be expanded to basic science (non-medical) research to gain multi-domain insights of input datasets. In 2021, Mate Bioservices was launched, in partnership with UCSF, to harness the power of SPOKE with platforms and services to advance academic, clinical, and pharmaceutical research.

Talk
Beyond Data: A Knowledge Platform for Biomedical Research
Today’s most pressing biomedical problems will only be solved through multidisciplinary exchanges of data and knowledge. Mate Bioservices’ human-centric platforms and services leverage our powerful knowledge graph to enable this interchange. Now academic, pharmaceutical, and clinical researchers can accelerate innovation by investigating their private data through a multidisciplinary and multi-omics lens.


 Session Chair Profile

Ph.D., Independent consultant in Translational Science & Medicine

Biography
John is a biotechnology Translational Science & Medicine consultant with a comprehensive and deep understanding of the development and application of pioneering molecular procedures to the translation of research-grade biomarker assays into clinical-grade clinically adopted diagnostic tests. John oversaw the translation of an early stage research Next Generation sequencing test to a US government reimbursed and now widely adopted Laboratory Developed CLIA-CAP test for transplanted kidney rejection. He advises commercial translation efforts at Stanford University (SPARK) and University of California in San Francisco (CATALYST).

Talk
AI/ML Diagnostic Reimbursement in Precision Medicine
AI/ML-related healthcare products/services have begun changing the healthcare landscape. Watershed events in AI diagnostics include recent FDA approvals in imaging and data integration and guidance for Software as a Medical Device. What role will AI/ML play and what should criteria be for reimbursement as healthcare pivots to value-base models?


 Session Chair Profile

Ph.D., Chief Scientific Officer, CENTOGENE

Biography
Patrice is a seasoned executive and scientific pioneer with over 35 years of experience at pharmaceutical and biotechnology companies in Europe and the U.S. – spearheading translational R&D to deliver breakthrough treatments. He served as CSO at 4P-Pharma, where he led the R&D drug repositioning strategy and operations towards potential full clinical demonstration and asset-value transfer to large pharma companies. He has held several leadership positions, including as the General Manager of the Roche Institute for Research and Translational Medicine, as well as other senior roles at Sanofi Aventis and Ipsen. Patrice served as CSO at Genethon, a biotech company dedicated to the development of gene therapy treatments for rare diseases. Patrice taught Biotechnology for 10 years at the University Paris-Descartes and has co-authored over 150 scientific papers and patents.


 Session Chair Profile

Ph.D., PHARM.D., Co-Founder & Chief Business Development Officer, Vidence

Biography
Rob is the Co-Founder and Chief Business Development & Analytics Officer for Vidence. His responsibilities include identifying business opportunities to leverage a growing volume of deep longitudinal clinical-genomic data for use in multiple healthcare channels including biopharmaceutical, provider and payer markets


 Session Chair Profile

Director, Center for Innovation and Bioinformatics, Mass General Hospital; Principal Associate in Neurology, Harvard Medical School

Biography
The focus of my work and research is conception, design, development of technology, platforms, infrastructure, and methods for collaborative clinical research and optimization of clinical research in disease-specific networks. We introduced such innovative concepts as NeuroBANK®, a patient-centric platform and accelerated research environment, utilized by hundreds of investigators at 80+ clinical sites in 14 countries; PRO-ACT™, a harmonized anonymized dataset from 23 ALS clinical trials utilized for future clinical trials’ design and AI and ML modeling; and The SigNET™ Platform for unique and secure patient identification across research continuum. All three platforms have won the Best Practice Award (2013-2015-2018-2020) from Bio-IT World Congress in Precision and Translational Medicine category, as “outstanding example of how technology innovations and strategic initiatives can be powerful forces for change in the life sciences.” Other research: technologies for secure collaboration, integration, harmonization, and sharing of clinical and research information by all clinical research enterprise participants.

Talk
Data FAIRness for Precision Research
Research data are invaluable resource of disease-specific knowledge. FAIRnization of data makes possible for academia, foundations, and industry to create pre-competitive resources for applying AI/ML modeling in identification of disease biomarkers, patient subpopulations, and creating disease progression and disease staging models, i.e., precision research and knowledge stratification.


 Session Chair Profile

CEO, TripleBlind

Biography
Riddhiman Das is CEO of TripleBlind. Das has spent most of his career in leadership roles in software and product development in startups, academia, and consulting across industries, including cybersecurity, fintech, digital identity, mobile payments, wireless systems, chipsets, healthcare, biometrics, security, and govtech. Previously, Das worked in corporate VC and M&A for Ant Financial, within the Alibaba Group. As head of international technology investments, Das focused on deals in enabling technologies for Alipay worldwide including blockchain, AI, security, IoT and computing. Das came to Ant Financial through EyeVerify’s successful exit. At EyeVerify, he helped develop a software-only, biometric method for verifying the identity of mobile users using the unique vein patterns in the whites of a person’s eyes. Das holds a bachelor’s degree and master’s degree in Computer Science and Electrical Engineering from the University of Missouri – Kansas City. He received the 2013 White House Champions of Change from President Barack Obama.


 Speaker Profile

M.D., Chief Health Information Officer and VP, Genetic and Genomic Services, UCSF Health

Biography
Dr Cucina is Vice President, Genetic and Genomic Services, and Chief Health Information Officer, for the UCSF Health system. Working with the Chief Genomics Officer, he is responsible for the strategy and operations of UCSF’s clinical genetic and genomics laboratories and services, and for the analytics, software, and information infrastructure to further the missions of UCSF Health. Dr. Cucina is board certified in Clinical Informatics and Internal Medicine, and practices in Hospital Medicine at UCSF’s Parnassus Campus.


 Speaker Profile

Ph.D., CEO, Theiagen Genomics

Biography
Dr. Sevinsky has leveraged over two decades of experience in systems biology and taken aim at transforming public health and infectious disease surveillance through innovative implementation of NGS and bioinformatics technologies. During a three year tenure at the Colorado Department of Public Health and Environment, he led several initiatives to build NGS testing and bioinformatics capacity at the state, regional and national levels. In 2019 Dr. Sevinsky’s ambitions to impact public health exceeded his role as a government scientist, resulting in the formation of Theiagen Genomics. Dr. Sevinsky and his team now work with over four dozen public health laboratories nationally, and more than a dozen internationally in Africa and Asia. Prior to his time in public health, Dr. Sevinsky held several positions in non-profit and industry, working in applied technologies for diverse applications such as biomarker identification and biofuel/biochemical production.


 Speaker Profile

M.D., Cofounder and CEO, Rhino Health

Biography
Dr. Dayan is transforming the way healthcare AI solutions are created, adopted and measured. The Rhino Health Platform provides access to a large, distributed dataset from a diverse group of patients, powering models that deliver consistent results and, ultimately, improve health outcomes for large populations of patients. Drawing on his background as a clinician and researcher, Ittai is passionate about creating equitable access to advanced AI-based diagnostics and treatment pathways. He led the EXAM study, published in Nature Medicine, which is the world’s largest study to-date utilizing federated learning (FL) to train a healthcare AI solution on diverse data across institutions. Previously, Ittai served as an Executive Director at Mass General Brigham, where he led the Center for Clinical Data Science (CCDS). Ittai has studied at the Johns Hopkins Bloomberg School of Public Health. He earned his MD and his Bachelors of Science from The Hebrew University of Jerusalem.


 Speaker Profile

Ph.D., Professor and Vice Chair, UCSF

Biography
Sharmila Majumdar, Ph.D., obtained her Ph.D. degree from Yale University in Engineering and Applied Sciences. After a short stay at Yale she joined UCSF as an Assistant Professor in 1989. Her research on machine and deep learning has a focus on imaging; prior work has focused on imaging technology development and translational, development of image processing, computer vision has been focused in the areas of osteoporosis, osteoarthritis, and lower back pain. She is the Executive and Scientific Director of the Center for Intelligent Imaging at UCSF. She was selected as a fellow of the American Institute of Medical and Biological Engineers in 2004, a fellow of the International Society of Magnetic Resonance in Medicine (ISMRM) in 2008, and awarded the ISMRM Gold medal in 2016. She is an active participant in the PMWC meetings. Her work over the last three decades has been extensively supported by the NIH and industry.


 Speaker Profile

VP, Chief Data & Insights Officer, Anthem

Biography
Ashok Chennuru is a veteran Anthem employee with 20 years + experience.  He currently serves as the Chief Data and Analytics Officer. In this role he over oversees enterprise data management, AI & Digital Strategy, technical delivery of all capabilities in Provider Collaboration/Enablement & Analytics, Clinical and Member Management analytics, technical delivery of Commercial and Government Risk Adjustment initiatives, Medicare revenue Management including STARS, and Clinical quality Management(HEDIS), program integrity (Fraud, Waste and Abuse) for Commercial and Government markets, technical delivery of Employer Analytics, Health Information Technology strategy, and technical delivery and Architecture for Anthem around its Provider Data Strategy including the integration and operational uses to feed the data in the Common Data Foundation to the consuming platforms to support directories, claims payment provider portal and Consumer facing solutions. Prior to joining Anthem, Ashok led the Information Business Intelligence team in Liberty Mutual and focused on delivering analytics to key business areas like Actuarial & Finance.  Preceding Liberty Mutual, Ashok worked in software giants SAP and Oracle as a software development engineer focused on analytics products. Ashok holds a Master’s degree (MS) in Computer Science from University of Missouri and BS in Computer Science and Engineering from Madurai University in India.


 Speaker Profile

Ph.D., VP of Analytics, Karius

Biography
Dr. Davis leads the Analytics organization at Karius, a life sciences company focused on generating genomic insights for infectious diseases with a non-invasive blood test that helps clinicians make rapid treatment decisions. By mapping each patient’s microbial landscape from a single blood draw, Karius moves closer to a vision of a world where infectious disease is no longer a major threat to human health. Three analytics teams, Assay Development Analytics, Computational Biology, and Computational Biomarker Discovery, execute on the vision by delivering the analytical blueprint to create an AI-driven infectious disease diagnostic test that is used by physician’s to detect over 1000 pathogens (e.g., bacteria, viruses, mold and fungi). Prior to Karius, Dr. Davis was the Global Head of Bioinformatics and Computational Biology at AbbVie, where he worked for 7 years. Before moving into pharma and biotech, he was a tenured professor at University of Missouri School of Medicine.

Talk
FAIRway to Collaborate: Enabling Future Success
As data complexity and generation grows, the ability to recycle data beyond its immediate consumption has become increasingly challenging, both within and outside organizations. Initially, efforts to rectify this were borne by academics seeking to reuse data from publications, while more recently corporations recognized their role in data stewardship. To some, data collection and acquisition may be seen as a short-term effort with a defined focus. In the recent past, business leaders in pharma and biotech tended to think of data as means to an end, typically to support an IND, NDA, or IVD. Realizing that the data may be nearly as valuable for secondary use initially sparked a mostly IT-centric effort in many organizations to build data warehouses, lakes, etc. While necessary, they are not sufficient for success in “upcycling” data. This talk focuses on why those who do this well will have a sustained advantage in the marketplace.


 Speaker Profile

Ph.D., Principal Data Scientist, UCSF

Biography
Gundolf graduated from the Universities of Hamburg and Goettingen, Germany, in structural bioinformatics and machine learning. He continued theoretical and experimental methods development and data analyses for biomolecular research at the European Molecular Biology Laboratory and at Stanford University. At UCSF, he leads the technical integration and automatic detection of structure within various modalities of patient-centered data, including clinical notes and genomics.

Talk
UCSF InformationCommons: Multifactor Data Science to Advance Precision Medicine


 Speaker Profile

Ph.D., Vice President, Clinical Development and Regulatory Affairs, PathAI

Biography
Katy has been leading clinical and regulatory at PathAI for the last two years. One of her main focuses has been the NASH program, where she works to develop and qualify PathAI's unique drug development tools to advance NASH therapeutics with a consortium of close industry and academic partners. Katy has over a decade of clinical research and regulatory experience in digital pathology, diagnostics, and drug development, as well as an extensive background in liver research in tissue engineering, liver regeneration, and toxicology. Since 1998, Katy has been focused on harnessing quantitative imaging to unlock the intricate structure/function relationship in pathology, with the help of close, interdisciplinary collaborations.


 Speaker Profile

Ph.D., Chief Scientific Officer, Covance, Sr VP, LabCorp

Biography
Dr Anderson has been with the LabCorp organization for 26 years and has held a variety of positions including director of operations for ViroMed Laboratories, director of operations for Monogram Biosciences, director of operations for the Center for Molecular Biology and Pathology, director of operations for Integrated Oncology and Genetics, national director of Research and Development, and global head of LabCorp Clinical Trials. Dr Anderson is a member of a variety of professional societies including the American Association for Cancer Research, the American Society of Clinical Oncology and the Association for Molecular Pathology. Dr Anderson’s research interests are in the development and applications for molecular diagnostics, including several examples of companion diagnostics and pharmacogenomics assays. He has authored more than 175 articles and abstracts published in such journals as Genetics, Proceedings of the National Academy of Sciences, Clinical Chemistry, the Journal of Infectious Disease, Human Pathology, American Journal of Obstetrics and Gynecology, Oncogene, the Journal of the National Cancer Institute, Clinical Cancer Research, Breast Cancer Research, BMC Cancer, the Journal of Molecular Diagnostics, Archives of Pathology and Laboratory Investigation and Expert Reviews in Molecular Diagnostics.


 Speaker Profile

M.D., Ph.D., Professor of Medicine, Stanford University; Associate CIO for Data Science, Stanford Healthcare

Biography
Dr. Nigam Shah is Professor of Medicine (Biomedical Informatics) at Stanford University, and serves as the Associate CIO for Data Science for Stanford Health Care. Dr. Shah's research focuses on bringing machine learning to clinical use safely, ethically and cost-effectively. Dr. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and was inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.


 Speaker Profile

M.D., Chief Research Informatics Officer; Division Chief Trauma/Critical Care surgery, UC Davis Health

Biography
Dr. Callcut is a nationally recognized expert in data science, is the current Vice Chair of Clinical Sciences in the Department of Surgery, Division Chief, and is the Chief Research Informatics Officer at the University of California- Davis Health. She is a practicing clinician double board certified in General Surgery and Surgical Critical Care. Dr. Callcut has a long track record of extensive extramural research support including from the NIH, DoD, and industry sources. She is also the recipient of funding from the California Institute of Regenerative Medicine. Dr. Callcut has published more than 100 peer reviewed publications, holds several provisional patents in artificial intelligence, has brought a number of products through FDA approval, and her research featured in over 50 news media publications in the last few years. Dr. Callcut is also the co-Founder of BeeKeeperAI, Inc.


 Speaker Profile

Ph.D., Associate Professor, Stanford University

Biography
Research focuses on developing novel methods for leveraging heterogeneity present across independent cohorts to better understand human immune system for developing novel diagnostics and therapies for inflammatory diseases


 Speaker Profile

Ph.D., Associate Professor, Bakar Computational Health Sciences Institute, UCSF

Biography
Marina is currently an Associate Professor at the Bakar Computational Health Sciences Institute at UCSF. Prior to that she has worked as a Senior Research Scientist at Pfizer where she focused on developing Precision Medicine strategies in drug discovery. She completed her PhD in Biomedical Informatics at Stanford University. Dr. Sirota’s research interests lie in developing computational integrative methods and applying these approaches in the context of disease diagnostics and therapeutics with a special focus on studying the role of the immune system in disease. The Sirota laboratory is funded by NIA, NLM, NIAMS, Pfizer, March of Dimes and the Burroughs Wellcome Fund. As a young leader in the field, she has been awarded the AMIA Young Investigator Award in 2017. Dr. Sirota also is the director of the AI4ALL program at UCSF, with the goal of introducing high school girls to applications of AI and machine learning in biomedicine.

Talk
Computational Drug Discovery in the Era of Precision Medicine
I will discuss leveraging molecular and clinical data to advance precision medicine in the context of drug discovery and repurposing.


 Speaker Profile

Ph.D., Research Scientist, Lawrence Livermore National Laboratory

Biography
Dr. Kaplan’s research centers around developing data-driven methods for problems in several application areas. He currently leads efforts developing advanced machine learning (ML) methods for healthcare and precision medicine applications. The focus of this work is on probabilistic approaches for noisy, heterogeneous, and irregularly sampled data streams, which present difficulties for many existing ML methods. One area is in traumatic brain injury (TBI), which has a large and diverse outcome space, in addition to arbitrary missingness patterns in clinical data points. The developed probabilistic methods allow for the analysis of patient subgroups and likelihood estimation over a large number of outcomes. Research in imaging involves the development of representation learning methods for brain MRI using a novel artificial neural network architecture. This approach compresses volumetric images and partitions the brain into regions that correspond across subjects in a purely data-driven approach.


 Speaker Profile

M.D., CEO and Cofounder, Buoy Health

Biography
Since founding Buoy out of Harvard Innovation Labs in 2014, Andrew has led the company through two successful funding rounds, raising over $67 million, with prominent healthcare investors including Optum, Cigna, Humana, WR Hambrecht + Co., and F-Prime. Recently, Andrew was named by Modern Healthcare as a Top 25 Emerging Leader, by Business Insider as one of 30 healthcare leaders under 40 to watch, a Digital Innovator by Employee Benefits News, one of Boston Business Journal's Top 40 Under 40 leaders, and recognized as a TEDMED Hive Innovator. Andrew holds a doctorate of medicine from Harvard Medical School and graduated magna cum laude from Harvard College.

Talk
Digital Health Transformation - Consumerism in Healthcare


 Speaker Profile

M.D., FACP, FASCO, Physician-in-Chief, Hartford HealthCare Cancer Institute

Biography
Dr. Peter Yu's expertise lies in the intersection of medical informatics, healthcare operations and public policy. While President of the American Society of Clinical Oncology, ASCO launched CancerLinq, which aggregates medical oncology data across U.S. academic and community practices, and 2 journals; JCO Global Oncology and JCO Cancer Clinical Informatics (Associate Editor). In his position as Clinical Member, Memorial Sloan Kettering Cancer Center he is on the leadership team for the strategic partnership between MSK and Hartford HealthCare whose mission is to accelerate the dissemination of knowledge from academic medical centers to community healthcare systems. Hartford HealthCare is a 7-hospital system caring for 1/3 of the Connecticut population. Dr. Yu serves on Hutchinson Institute for Cancer Outcomes Research (HICOR) Fred Hutchinson Cancer Research Center External Advisory Board, California Cancer Registry Advisory Committee, Epic Systems Adult Oncology Steering Board, and the American Joint Committee on Cancer (AJCC) Implementation Committee.

Talk
Machine Learning Models of Chemotherapy Induced Neutropenia
Structured data in the EHRs of 2806 patients who received a total of 17,513 chemotherapy treatments was aggregated and de-identified to develop a predictive algorithm for risk of chemotherapy induced febrile neutropenia. Linear, tree-based or ensemble methods were developed and an optimal algorithm using only 20 clinical features was identified.


 Speaker Profile

CEO, InheRET, Inc

Biography
Leading the strategic direction of INHERET, Kelly brings over 20 years as a cancer center administrator and 10 years in business development bringing genetics programs to health systems


 Speaker Profile

Ph.D., Stanford Lecturer and Director of Stanford Deep Data Research Computing Center, Stanford University

Biography
Dr. Amir Bahmani is the Director of Stanford Deep Data Research Computing Center. He has been working on large-scale distributed and parallel computing applications since 2008. He is an active researcher in the VA Million Veteran Program (MVP), Human Tumor Atlas Network (HTAN), the Human BioMolecular Atlas Program (HuBMAP), Stanford Metabolic Health Center (MHC), Stanford Integrated Personal Omics Profiling (iPOP) and Stanford Healthcare Innovation Lab. As a computer scientist, he is passionate about bridging the gap between computer scientists and biologists/physicians. He successfully launched Stanford University’s first Cloud Computing for Healthcare course, offered to students in Biology, Computer Science, Genetics, and Biomedical Data Science departments. His research draws on computationally intensive medical applications, cloud computing, data privacy in medical applications, database management systems, and pervasive and ubiquitous computing.


 Speaker Profile

M.D., Ph.D., Assoc Prof, Assoc Chair Translational Informatics, Director Ci2, UCSF

Biography
Dr. Mongan's research focuses on artificial intelligence in medical imaging. He was the senior author and primary investigator on a project that developed artificial intelligence for the detection of pneumothorax (collapsed lung); in partnership with General Electric, the algorithm developed in this project achieved FDA clearance and is currently commercially available on portable X-ray machines. He is the lead author on the Checklist for Artificial Intelligence in Medical Imaging (CLAIM), a guideline used by several journals to promote reproducibility in artificial intelligence publications, and is the lead author on a publication drawing lessons for the safe implementation of artificial intelligence in medicine from the 737 Max disasters. He chairs the Machine Learning Steering Committee of the Radiological Society of North America (RSNA, the world’s largest radiology specialty society) and serves on the editorial board of the journal Radiology: Artificial Intelligence.