John Mongan, MD, PhD
Associate Professor
Radiology
School of Medicine
John Mongan, MD, PhD, is the Associate Chair for Translational Informatics, Director of the Center for Intelligent Imaging and an Associate Professor of Clinical Radiology (Abdominal Imaging and Ultrasound section) in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco. He is board certified in both diagnostic radiology and clinical informatics.
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His 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.
Dr. Mongan is nationally and internationally recognized as a leader and expert in artificial intelligence and machine learning. He chairs the Machine Learning Steering Committee of the Radiological Society of North America (RSNA, the world’s largest radiology specialty society). Through this committee, he organizes the assembly and curation of large multi-institutional medical imaging datasets and artificial intelligence contests using these datasets. These contests, conducted twice per year, attract over a thousand entrants. He serves on the editorial board of the journal Radiology: Artificial Intelligence, and represents the RSNA in organizing the national AI Safety Summit to be held for the first time in 2022. He has lectured on artificial intelligence at the annual meetings of the German Congress of Radiology, the Colombian Congress of Radiology, the international Medical Image Computing and Computer Assisted Intervention Society (MICCAI), and the RSNA.
Dr. Mongan also leads the University of California-wide effort to implement a clinical decision support system for ordering imaging that is compliant with the Protecting Access to Medicare Act (PAMA). He successfully obtained certification from the Center for Medicare and Medicaid Services (CMS) for the University of California to be recognized as a Qualified Provider Led Entity (QPLE) , able to create imaging appropriate use criteria (AUC) recognized as valid under PAMA. He chairs the UC QPLE steering committee, which has produced AUC covering six different clinical areas, available at qple.ucop.edu.
Awards
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- Margulis Society Outstanding Resident Researcher, UCSF, 2013
- Outstanding Academic Accomplishments, UCSD, 2008
- Free Clinic Leadership Award, UCSD, 2008
- Student Research Achievement Award, Biophysical Society, 2005
Education & Training
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- Abdominal Imaging Fellowship UC San Francisco 2014
- Radiology Residency UC San Francisco 2013
- MD Medicine UC San Diego 2008
- PhD Bioinformatics UC San Diego 2006
- BS Chemistry Stanford 1999
Interests
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- biomedical ontologies
- data visualization
- clinical informatics
- imaging informatics
- medical informatics
- natural language processing
- data science
- radiology information systems
- machine learning
- data anonymization
- software design
- data analysis
- clinical decision support
- big data
- artificial intelligence
- enterprise architecture
Publications (67)
Top publication keywords:
Electronic Health RecordsRadiography, ThoracicGastrointestinal Stromal TumorsKidney CalculiVena Cava FiltersContrast MediaBismuthPneumothoraxRadiologyRadiology Information SystemsUreterSystems IntegrationUreteral CalculiDiagnosis, Computer-AssistedThermodynamics
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Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers.
Radiology. Artificial intelligence 2020 Mongan J, Moy L, Kahn CE -
Artificial Intelligence and Human Life: Five Lessons for Radiology from the 737 MAX Disasters.
Radiology. Artificial intelligence 2020 Mongan J, Kohli M -
Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study.
PLoS medicine 2018 Taylor AG, Mielke C, Mongan J -
The Global Reading Room: Purchasing a Radiology Artificial Intelligence System.
AJR. American journal of roentgenology 2024 Huisman M, Kitamura FC, Mongan J, Yanagawa M -
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges.
Radiology. Artificial intelligence 2024 Kitamura FC, Prevedello LM, Colak E, Halabi SS, Lungren MP, Ball R, Kalpathy-Cramer J, Kahn CE, Richards T, Talbott JF, Shih G, Lin HM, Andriole KP, Vazirabad M, Erickson BJ, Flanders AE, Mongan J
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The University of California San Francisco Brain Metastases Stereotactic Radiosurgery (UCSF-BMSR) MRI Dataset.
Radiology. Artificial intelligence 2024 Rudie JD, Saluja R, Weiss DA, Nedelec P, Calabrese E, Colby JB, Laguna B, Mongan J, Braunstein S, Hess CP, Rauschecker AM, Sugrue LP, Villanueva-Meyer JE -
Proceedings From the 2022 ACR-RSNA Workshop on Safety, Effectiveness, Reliability, and Transparency in AI.
Journal of the American College of Radiology : JACR 2024 Larson DB, Doo FX, Allen B, Mongan J, Flanders AE, Wald C -
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA.
Journal of the American College of Radiology : JACR 2024 Brady AP, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, Pinto Dos Santos D, Tang A, Wald C, Slavotinek J -
Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA.
Journal of medical imaging and radiation oncology 2024 Brady AP, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, Pinto Dos Santos D, Tang A, Wald C, Slavotinek J -
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA.
Radiology. Artificial intelligence 2024 Brady AP, Allen B, Chong J, Kotter E, Kottler N, Mongan J, Oakden-Rayner L, Dos Santos DP, Tang A, Wald C, Slavotinek J -
Abstract 13588: A Generalizable Deep Learning System for Cardiac MRI.
Circulation 2023 Rohan Shad, Cyril R Zakka, Dhamanpreet Kaur, JOHN MONGAN, Kimberly G Kallianos, Ross Filice, Nishith Khandwala, David Eng, Curtis Langlotz, William Hiesinger -
Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research.
Nature Machine Intelligence 2023 Ali S. Tejani, Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park, Charles E. Kahn -
On the Centrality of Data: Data Resources in Radiologic Artificial Intelligence.
Radiology. Artificial intelligence 2023 Mongan J, Halabi SS -
TotalSegmentator: A Gift to the Biomedical Imaging Community.
Radiology. Artificial intelligence 2023 Sebro R, Mongan J -
Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer.
Radiology 2023 Chung M, Calabrese E, Mongan J, Ray KM, Hayward JH, Kelil T, Sieberg R, Hylton N, Joe BN, Lee AY -
Behavioral "nudges" in the electronic health record to reduce waste and misuse: 3 interventions.
Journal of the American Medical Informatics Association : JAMIA 2023 Grouse CK, Waung MW, Holmgren AJ, Mongan J, Neinstein A, Josephson SA, Khanna RR -
PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare.
Nature medicine 2023 Cacciamani GE, Chu TN, Sanford DI, Abreu A, Duddalwar V, Oberai A, Kuo CJ, Liu X, Denniston AK, Vasey B, McCulloch P, Wolff RF, Mallett S, Mongan J, Kahn CE, Sounderajah V, Darzi A, Dahm P, Moons KGM,… -
Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer.
Radiology 2022 Chung M, Calabrese E, Mongan J, Ray KM, Hayward JH, Kelil T, Sieberg R, Hylton N, Joe BN, Lee AY -
Automated detection of IVC filters on radiographs with deep convolutional neural networks.
Abdominal radiology (New York) 2022 Mongan J, Kohli MD, Houshyar R, Chang PD, Glavis-Bloom J, Taylor AG -
The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.
Radiology. Artificial intelligence 2022 Calabrese E, Villanueva-Meyer JE, Rudie JD, Rauschecker AM, Baid U, Bakas S, Cha S, Mongan JT, Hess CP -
The 2021 SIIM-FISABIO-RSNA Machine Learning COVID-19 Challenge: Annotation and Standard Exam Classification of COVID-19 Chest Radiographs.
Journal of digital imaging 2022 Lakhani P, Mongan J, Singhal C, Zhou Q, Andriole KP, Auffermann WF, Prasanna PM, Pham TX, Peterson M, Bergquist PJ, Cook TS, Ferraciolli SF, Corradi GCA, Takahashi MS, Workman CS, Parekh M, Kamel SI, … -
Radiologists staunchly support patient safety and autonomy, in opposition to the SCOTUS decision to overturn Roe v Wade.
Clinical imaging 2022 Karandikar A, Solberg A, Fung A, Lee AY, Farooq A, Taylor AC, Oliveira A, Narayan A, Senter A, Majid A, Tong A, McGrath AL, Malik A, Brown AL, Roberts A, Fleischer A, Vettiyil B, Zigmund B, Park B, … -
Effect of an ultrasound-first clinical decision tool in emergency department patients with suspected nephrolithiasis: A randomized trial.
The American journal of emergency medicine 2022 Wang RC, Fahimi J, Dillon D, Shyy W, Mongan J, McCulloch C, Smith-Bindman R -
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities.
Cancers 2022 Merkaj S, Bahar RC, Zeevi T, Lin M, Ikuta I, Bousabarah K, Cassinelli Petersen GI, Staib L, Payabvash S, Mongan JT, Cha S, Aboian MS -
Imaging AI in Practice: Introducing the Special Issue.
Radiology. Artificial intelligence 2022 Mongan J, Vagal A, Wu CC -
Gastrointestinal Stromal Tumors: Radiomics may Increase the Role of Imaging in Malignant Risk Assessment.
Academic radiology 2022 Webb EM, Mongan J -
RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications.
Radiology. Artificial intelligence 2021 Mongan J, Kalpathy-Cramer J, Flanders A, George Linguraru M -
Automated coronary calcium scoring using deep learning with multicenter external validation.
NPJ digital medicine 2021 Eng D, Chute C, Khandwala N, Rajpurkar P, Long J, Shleifer S, Khalaf MH, Sandhu AT, Rodriguez F, Maron DJ, Seyyedi S, Marin D, Golub I, Budoff M, Kitamura F, Takahashi MS, Filice RW, Shah R, Mongan J,… -
The RSNA Pulmonary Embolism CT Dataset.
Radiology. Artificial intelligence 2021 Colak E, Kitamura FC, Hobbs SB, Wu CC, Lungren MP, Prevedello LM, Kalpathy-Cramer J, Ball RL, Shih G, Stein A, Halabi SS, Altinmakas E, Law M, Kumar P, Manzalawi KA, Nelson Rubio DC, Sechrist JW, … -
The RSNA International COVID-19 Open Radiology Database (RICORD).
Radiology 2021 Tsai EB, Simpson S, Lungren MP, Hershman M, Roshkovan L, Colak E, Erickson BJ, Shih G, Stein A, Kalpathy-Cramer J, Shen J, Hafez M, John S, Rajiah P, Pogatchnik BP, Mongan J, Altinmakas E, Ranschaert … -
Evaluating Artificial Intelligence Systems to Guide Purchasing Decisions.
Journal of the American College of Radiology : JACR 2020 Filice RW, Mongan J, Kohli MD -
Erratum: Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.
Radiology. Artificial intelligence 2020 Flanders AE, Prevedello LM, Shih G, Halabi SS, Kalpathy-Cramer J, Ball R, Mongan JT, Stein A, Kitamura FC, Lungren MP, Choudhary G, Cala L, Coelho L, Mogensen M, Morón F, Miller E, Ikuta I, Zohrabian … -
Effect of shelter-in-place on emergency department radiology volumes during the COVID-19 pandemic.
Emergency radiology 2020 Houshyar R, Tran-Harding K, Glavis-Bloom J, Nguyentat M, Mongan J, Chahine C, Loehfelm TW, Kohli MD, Zaragoza EJ, Murphy PM, Kampalath R -
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.
Radiology. Artificial intelligence 2020 Flanders AE, Prevedello LM, Shih G, Halabi SS, Kalpathy-Cramer J, Ball R, Mongan JT, Stein A, Kitamura FC, Lungren MP, Choudhary G, Cala L, Coelho L, Mogensen M, Morón F, Miller E, Ikuta I, Zohrabian … -
Mandated Imaging Appropriate Use Criteria.
Annals of internal medicine 2019 Hentel KD, Menard A, Mongan J, Durack JC, Raja AS, Khorasani R -
What Physicians and Health Organizations Should Know About Mandated Imaging Appropriate Use Criteria.
Annals of internal medicine 2019 Hentel KD, Menard A, Mongan J, Durack JC, Johnson PT, Raja AS, Khorasani R -
Potential Effect of the Protecting Access to Medicare Act on Use of Advanced Diagnostic Imaging in the Emergency Department: An Analysis of the National Hospital Ambulatory Care Survey.
Radiology 2019 Fahimi J, Kanzaria HK, Mongan J, Kahn KL, Wang RC -
How far have we come? Artificial intelligence for chest radiograph interpretation.
Clinical radiology 2019 Kallianos K, Mongan J, Antani S, Henry T, Taylor A, Abuya J, Kohli M -
Impact of PACS-EMR Integration on Radiologist Usage of the EMR.
Journal of digital imaging 2018 Mongan J, Avrin D -
Association between misty mesentery with baseline or new diagnosis of cancer: a matched cohort study.
Clinical imaging 2017 Marcus SG, Candia S, Kohli MD, Mongan J, Zagoria RJ, Behr SC, Sun D, Westphalen AC -
Can Radiologists Learn From Airport Baggage Screening?: A Survey About Using Fictional Patients for Quality Assurance.
Academic radiology 2017 Phelps A, Callen AL, Marcovici P, Naeger DM, Mongan J, Webb EM -
Correlate: A PACS- and EHR-integrated Tool Leveraging Natural Language Processing to Provide Automated Clinical Follow-up.
Radiographics : a review publication of the Radiological Society of North America, Inc 2017 Kovacs MD, Mesterhazy J, Avrin D, Urbania T, Mongan J -
Contrast Enhanced Ultrasound as a Radiation-Free Alternative to Fluoroscopic Nephrostogram for Evaluating Ureteral Patency.
The Journal of urology 2017 Chi T, Usawachintachit M, Weinstein S, Kohi MP, Taylor A, Tzou DT, Chang HC, Stoller M, Mongan J -
PD11-05 CONTRAST-ENHANCED ULTRASOUND AS A REPLACEMENT FOR FLUOROSCOPIC NEPHROSTOGRAM FOLLOWING PERCUTANEOUS NEPHROLITHOTOMY.
The Journal of Urology 2017 Thomas Chi, Manint Usawachintachit, David Tzou, Helena Chang, Benjamin Sherer, Marshall Stoller, Stefanie Weinstein, John Mongan -
High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks.
Journal of digital imaging 2017 Rajkomar A, Lingam S, Taylor AG, Blum M, Mongan J -
Contrast Enhanced Ultrasound Detects Recurrent Renal Cell Carcinoma in the Setting of Chronic Renal Insufficiency.
Clinical genitourinary cancer 2016 Tzou DT, Weinstein S, Usawachintachit M, Mongan J, Greene KL, Chi T -
Feasibility of Retrograde Ureteral Contrast Injection to Guide Ultrasonographic Percutaneous Renal Access in the Nondilated Collecting System.
Journal of endourology 2016 Usawachintachit M, Tzou DT, Mongan J, Taguchi K, Weinstein S, Chi T -
Antegrade ultrasound contrast injection facilitates accurate nephrostomy tube positioning during percutaneous nephrolithotomy.
International journal of urology : official journal of the Japanese Urological Association 2016 Usawachintachit M, Tzou DT, Mongan J, Weinstein S, Chi T -
Feasibility of Antegrade Contrast-enhanced US Nephrostograms to Evaluate Ureteral Patency.
Radiology 2016 Chi T, Usawachintachit M, Mongan J, Kohi MP, Taylor A, Jha P, Chang HC, Stoller M, Goldstein R, Weinstein S -
Definition of Confidence Interval.
Radiographics : a review publication of the Radiological Society of North America, Inc 2016 Mongan J, Sebro R -
Beyond Prostate Adenocarcinoma: Expanding the Differential Diagnosis in Prostate Pathologic Conditions.
Radiographics : a review publication of the Radiological Society of North America, Inc 2016 Li Y, Mongan J, Behr SC, Sud S, Coakley FV, Simko J, Westphalen AC -
PD14-01 CAN CONTRAST-ENHANCED ULTRASOUND REPLACE FLUOROSCOPIC NEPHROSTOGRAM?.
The Journal of Urology 2016 Manint Usawachintachit, John Mongan, Matthew Truesdale, Stefanie Weinstein, Thomas Chi -
In vivo comparison of tantalum, tungsten, and bismuth enteric contrast agents to complement intravenous iodine for double-contrast dual-energy CT of the bowel.
Contrast media & molecular imaging 2016 Rathnayake S, Mongan J, Torres AS, Colborn R, Gao DW, Yeh BM, Fu Y -
Age and sex-dependent trends in pulmonary embolism testing and derivation of a clinical decision rule for young patients.
Emergency medicine journal : EMJ 2015 Mongan J, Kline J, Smith-Bindman R -
The radiologist's workflow environment: evaluation of disruptors and potential implications.
Journal of the American College of Radiology : JACR 2014 Yu JP, Kansagra AP, Mongan J -
Extravasated contrast material in penetrating abdominopelvic trauma: dual-contrast dual-energy CT for improved diagnosis--preliminary results in an animal model.
Radiology 2013 Mongan J, Rathnayake S, Fu Y, Gao DW, Yeh BM -
Pancreatic imaging mimics: part 1, imaging mimics of pancreatic adenocarcinoma.
AJR. American journal of roentgenology 2012 Coakley FV, Hanley-Knutson K, Mongan J, Barajas R, Bucknor M, Qayyum A -
In vivo differentiation of complementary contrast media at dual-energy CT.
Radiology 2012 Mongan J, Rathnayake S, Fu Y, Wang R, Jones EF, Gao DW, Yeh BM -
Analysis of integral expressions for effective Born radii.
The Journal of chemical physics 2007 Mongan J, Svrcek-Seiler WA, Onufriev A -
Generalized Born model with a simple, robust molecular volume correction.
Journal of chemical theory and computation 2007 Mongan J, Simmerling C, McCammon JA, Case DA, Onufriev A -
Evaluation and binding-mode prediction of thiopyrone-based inhibitors of anthrax lethal factor.
ChemMedChem 2006 Lewis JA, Mongan J, McCammon JA, Cohen SM -
Potent, selective pyrone-based inhibitors of stromelysin-1.
Journal of the American Chemical Society 2005 Puerta DT, Mongan J, Tran BL, McCammon JA, Cohen SM -
Limitations of atom-centered dielectric functions in implicit solvent models.
The journal of physical chemistry. B 2005 Swanson JM, Mongan J, McCammon JA -
Biomolecular simulations at constant pH.
Current opinion in structural biology 2005 Mongan J, Case DA -
Constant pH molecular dynamics in generalized Born implicit solvent.
Journal of computational chemistry 2004 Mongan J, Case DA, McCammon JA -
Accelerated molecular dynamics: a promising and efficient simulation method for biomolecules.
The Journal of chemical physics 2004 Hamelberg D, Mongan J, McCammon JA -
Interactive essential dynamics.
Journal of computer-aided molecular design 2004 Mongan J