Public Biography
Dr. Langlotz is a Professor of Radiology, Medicine, and Biomedical Data Science, and Senior Associate Vice Provost for Research at Stanford University. He also serves as a Senior Fellow at the Institute for Human-Centered Artificial Intelligence (HAI), and Director of the Center for Ar-tificial Intelligence in Medicine and Imaging (AIMI Center) at Stanford. The AIMI Center supports over 200 affiliated faculty from across Stanford who develop machine learning systems aimed at clinical deployment. The AIMI Center’s open data program has released more than 20 AI-ready data sets, including a joint release of the largest-ever public dataset comprising over 200,000 chest radiographs and the associated reports.
Dr. Langlotz’s has published over 200 scholarly articles and is the author of the book “The Radi-ology Report: A Guide to Thoughtful Communication for Radiologists and Other Medical Profes-sionals,” a collection of best practices for radiology reporting. His NIH-funded laboratory devel-ops novel machine learning methods to detect disease and eliminate diagnostic imaging errors. He has led many recent national and international efforts to improve the quality of medical imag-ing, including the RadLex™ terminology standard, the Radiology Playbook of exam codes, and the Medical Imaging and Data Resource Center, a federally funded imaging research repository.
He is a founder and past president of the Radiology Alliance for Health Services Research (RAHSR) and has served as president of the Society for Imaging Informatics in Medicine (SIIM), and the College of SIIM Fellows. He is a fellow of the American College of Medical Informatics, the American Institute for Medical and Biological Engineering, and the Society of Imaging Infor-matics in Medicine. He is a former board member of the Association of University Radiologists (AUR), the American Medical Informatics Association (AMIA) and the Society for Medical Deci-sion Making (SMDM). He is Past President of the Radiological Society of North America (RSNA).
Dr. Langlotz is a recipient of the Lee B. Lusted Research Prize from the Society of Medical De-cision Making and the Career Achievement Award from the Radiology Alliance for Health Ser-vices Research. He and his trainees have received numerous scientific awards, including seven best paper awards and five research career development grants. He has founded three healthcare IT companies, including Montage Healthcare Solutions, which was acquired by Nu-ance Communications in 2016.
Raised in St. Paul, Minnesota, Dr. Langlotz received his undergraduate degree in Human Biolo-gy, Master’s in Computer Science, MD in Medicine, and PhD in Medical Information Science, all from Stanford University.
Dr. Langlotz’s has published over 200 scholarly articles and is the author of the book “The Radi-ology Report: A Guide to Thoughtful Communication for Radiologists and Other Medical Profes-sionals,” a collection of best practices for radiology reporting. His NIH-funded laboratory devel-ops novel machine learning methods to detect disease and eliminate diagnostic imaging errors. He has led many recent national and international efforts to improve the quality of medical imag-ing, including the RadLex™ terminology standard, the Radiology Playbook of exam codes, and the Medical Imaging and Data Resource Center, a federally funded imaging research repository.
He is a founder and past president of the Radiology Alliance for Health Services Research (RAHSR) and has served as president of the Society for Imaging Informatics in Medicine (SIIM), and the College of SIIM Fellows. He is a fellow of the American College of Medical Informatics, the American Institute for Medical and Biological Engineering, and the Society of Imaging Infor-matics in Medicine. He is a former board member of the Association of University Radiologists (AUR), the American Medical Informatics Association (AMIA) and the Society for Medical Deci-sion Making (SMDM). He is Past President of the Radiological Society of North America (RSNA).
Dr. Langlotz is a recipient of the Lee B. Lusted Research Prize from the Society of Medical De-cision Making and the Career Achievement Award from the Radiology Alliance for Health Ser-vices Research. He and his trainees have received numerous scientific awards, including seven best paper awards and five research career development grants. He has founded three healthcare IT companies, including Montage Healthcare Solutions, which was acquired by Nu-ance Communications in 2016.
Raised in St. Paul, Minnesota, Dr. Langlotz received his undergraduate degree in Human Biolo-gy, Master’s in Computer Science, MD in Medicine, and PhD in Medical Information Science, all from Stanford University.
Historic ACMI Biography
Dr. Langlotz received his Bachelors degree in Human Biology, Masters in computer science, MD, and PhD in medical informatics from Stanford, and undertook postgraduate training in medicine and radiology at the University of Pennsylvania. After residency he joined the faculty at Penn where he has risen through the ranks to become vice chair for Informatics in the Department of Radiology, and Associate Professor of Radiology and Informatics in the Departments of Biostatistics and Epidemiology, as well as Medical Director for Information Services for the University of Pennsylvania Hospital System. He is also Director of the Center for Imaging Informatics and is the CaBIG principal investigator at Penn. He developed a structured radiology reporting system that combined conventional speech recognition with point-and-click techniques. Dr. Langlotz's research has also demonstrated the shortcomings of existing terminology systems to represent information in radiology reports. With these findings, he helped urge the Radiological Society of North America (RSNA) to support the development of RadLex, which fills these gaps. He recruited 15 committees comprising over 150 expert radiologists who developed new terms by consensus. The RadLex lexicon, containing over 10,000 terms, is now complete and is being used by vendors such as GE Healthcare, Elsevier, and http://YottaLook.com, a radiology search engine based on Google technology. The lexicon has been translated into German, Portuguese, and Spanish. His election to the College recognizes these advances and contributions to the field of imaging informatics.
Affiliations
The American College of Medical Informatics
ACMI is a college of elected Fellows from the U.S. and abroad who have made significant and sustained contributions to the field of medical informatics. It is the central body for a community of scholars and practitioners who are committed to advancing the informatics field.
Year Elected
2008