John Mongan, MD, PhD

Director of Translational Informatics
M_Radiology
+1 415 514-6002

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.

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 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.

Publications: 

RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications.

Radiology. Artificial intelligence

Mongan J, Kalpathy-Cramer J, Flanders A, George Linguraru M

Automated coronary calcium scoring using deep learning with multicenter external validation.

NPJ digital medicine

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, Kallianos K, Langlotz CP, Lungren MP, Ng AY, Patel BN

The RSNA Pulmonary Embolism CT Dataset.

Radiology. Artificial intelligence

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, Germaine P, Lopez EC, Amerio T, Gupta P, Jain M, Kay FU, Lin CT, Sen S, Revels JW, Brussaard CC, Mongan J, RSNA-STR Annotators and Dataset Curation Contributors

The RSNA International COVID-19 Open Annotated Radiology Database (RICORD).

Radiology

Tsai EB, Simpson S, Lungren M, 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 ER, Kitamura FC, Topff L, Moy L, Kanne JP, Wu CC

Evaluating Artificial Intelligence Systems to Guide Purchasing Decisions.

Journal of the American College of Radiology : JACR

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

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 V, McDonnell O, Lincoln C, Shah L, Joyner D, Agarwal A, Lee RK, Nath J, RSNA-ASNR 2019 Brain Hemorrhage CT Annotators

Effect of shelter-in-place on emergency department radiology volumes during the COVID-19 pandemic.

Emergency radiology

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

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 V, McDonnell O, Lincoln C, Shah L, Joyner D, Agarwal A, Lee RK, Nath J, RSNA-ASNR 2019 Brain Hemorrhage CT Annotators

Mandated Imaging Appropriate Use Criteria.

Annals of internal medicine

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

Hentel KD, Menard A, Mongan J, Durack JC, Johnson PT, Raja AS, Khorasani R

How far have we come? Artificial intelligence for chest radiograph interpretation.

Clinical radiology

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

Mongan J, Avrin D

Association between misty mesentery with baseline or new diagnosis of cancer: a matched cohort study.

Clinical imaging

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

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

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

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

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

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

Tzou DT, Weinstein S, Usawachintachit M, Mongan J, Greene KL, 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

Usawachintachit M, Tzou DT, Mongan J, Weinstein S, Chi T

Feasibility of Antegrade Contrast-enhanced US Nephrostograms to Evaluate Ureteral Patency.

Radiology

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

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

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

Manint Usawachintachit, John Mongan, Matthew Truesdale, Stefanie Weinstein, Thomas Chi

The radiologist's workflow environment: evaluation of disruptors and potential implications.

Journal of the American College of Radiology : JACR

Yu JP, Kansagra AP, Mongan J

Pancreatic imaging mimics: part 1, imaging mimics of pancreatic adenocarcinoma.

AJR. American journal of roentgenology

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

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

Mongan J, Svrcek-Seiler WA, Onufriev A

Generalized Born model with a simple, robust molecular volume correction.

Journal of chemical theory and computation

Mongan J, Simmerling C, McCammon JA, Case DA, Onufriev A

Potent, selective pyrone-based inhibitors of stromelysin-1.

Journal of the American Chemical Society

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

Swanson JM, Mongan J, McCammon JA

Biomolecular simulations at constant pH.

Current opinion in structural biology

Mongan J, Case DA

Constant pH molecular dynamics in generalized Born implicit solvent.

Journal of computational chemistry

Mongan J, Case DA, McCammon JA

Accelerated molecular dynamics: a promising and efficient simulation method for biomolecules.

The Journal of chemical physics

Hamelberg D, Mongan J, McCammon JA

Interactive essential dynamics.

Journal of computer-aided molecular design

Mongan J