Jae Ho Sohn, MD, MS
Assistant Professor
Asst Professor In Residence
Biography
Dr. Sohn is a cardiothoracic radiologist focusing on lung cancer imaging and intervention with emphasis on machine learning, radiological natural language processing, and clinical translation of 0.55T low-field lung MRI. As a physician with engineering background, he has been broadly involved in projects that use mathematical and engineering techniques to tackle research questions in radiology.
His work has received media coverage from Washington Post, Times UK, Scientific American, AuntMinnie Newsletter, and others. He participated in machine learning competitions, scoring top 2% in the Kaggle Data Science Bowl for lung cancer detection. He has won the global oncology award from the Stanford Health++ hackathon.
He is an education co-chair of the UCSF Center for Intelligent Imaging, and mentors undergraduate, medical students, residents, scientists, and engineers who wish to learn about data science projects in radiology. A diverse group of students have joined the team from around the world (given the remote nature of many projects in the group). Many have won the RSNA trainee research prizes, RSNA certificate of merit awards, and scholarships. They are currently at leading CS PhD programs, medical schools, and data science companies, conducting data science projects in radiology.
Current research projects span lung cancer screening, big data based imaging biomarker discovery in chest imaging, clinical translation of 0.55T Lung MRI, radiological text processing, content based image retrieval, similar image and text query, and integration of machine learning innovations to clinical radiology practice. Examples projects include longitudinal lung nodule tracking & characterization from chest CT, patient level lung cancer risk stratification in lung cancer screening, generation of radiology specific word embedding, automated radiology protocoling, automated detection of urgent findings from radiology text report, and prediction of healthcare cost from chest radiographs.
The team seeks interested students, scientists, engineers, and post-doctoral scholars. Please reach out with a CV and any areas or projects of interest.
Education
Clinical Fellowship, 06/2021 - Cardiothoracic Imaging, University of California San Francisco (UCSF)
T32 Research Fellowship, 2020 - Big Data in Radiology, University of California San Francisco (UCSF)
Residency, 2020 - Diagnostic Radiology, University of California San Francisco (UCSF)
Intern, 2016 - Transitional Year, Santa Clara Valley Medical Center
MD, 2015 - , Geisel School of Medicine at Dartmouth
BA, 2010 - Applied Math & Statistics, Johns Hopkins University
MS, 2010 - Applied Math & Statistics, Johns Hopkins University
Honors and Awards
RSNA Resident/Fellow Research Grant, 2020
Radiology: In Training Editorial Board Member, 2020
RSNA Certificate of Merit Award (Primary Mentor to Student), 2019
RSNA Margulis Award for Scientific Excellence, 2019
CTSI Resident Research Grant, 2018
RSNA Trainee Research Prize (Primary Mentor to Student), 2018
RSNA Trainee Research Prize (Primary Mentor to Student), 2017
SIR Constantin Cope Medical Student Research Award, 2014
RSNA Certificate of Merit Award, 2011
Publications
Sohn JH, Fields BKK. Radiomics and Deep Learning to Predict Pulmonary Nodule Metastasis at CT. Radiology. 2024 Apr; 311(1):e233356.
Alfares FA, Sohn JH, Lee YJ, Farrell R, Delling FN, Avasarala K, Moon-Grady AJ, Anwar S, Austin KM. Mitral Annular Disjunction: An Under-Recognized Entity in Pediatrics. JACC Case Rep. 2024 May 01; 29(9):102297.
Leng L, Li AT, Lokken RP, Kohn M, Wu X, Sohn JH. Effect of Rapid Rollover on Pneumothorax Rate after Percutaneous CT-Guided Lung Biopsy: A Multicenter, Randomized Controlled Trial. J Vasc Interv Radiol. 2024 Jan 04.
Chu JN, Goldman ML, Brandman D, Sohn JH, Islam K, Ross LA, Fox RK. Underrecognition and Suboptimal Quality of Care for Nonalcoholic Fatty Liver Disease Cirrhosis in Primary Care Patients with Diabetes Mellitus. Am J Med. 2024 Feb; 137(2):172-177.e2.
Chaudhari GR, Liu T, Chen TL, Joseph GB, Vella M, Lee YJ, Vu TH, Seo Y, Rauschecker AM, McCulloch CE, Sohn JH. Application of a Domain-specific BERT for Detection of Speech Recognition Errors in Radiology Reports. Radiol Artif Intell. 2022 Jul; 4(4):e210185.
Sohn JH, Chen Y, Lituiev D, Yang J, Ordovas K, Hadley D, Vu TH, Franc BL, Seo Y. Prediction of future healthcare expenses of patients from chest radiographs using deep learning: a pilot study. Sci Rep. 2022 05 18; 12(1):8344.
Chaudhari GR, Chillakuru YR, Chen TL, Pedoia V, Vu TH, Hess CP, Seo Y, Sohn JH. Clinical language search algorithm from free-text: facilitating appropriate imaging. BMC Med Imaging. 2022 02 04; 22(1):18.
Joseph GB, McCulloch CE, Nevitt MC, Link TM, Sohn JH. Machine learning to predict incident radiographic knee osteoarthritis over 8 Years using combined MR imaging features, demographics, and clinical factors: data from the Osteoarthritis Initiative. Osteoarthritis Cartilage. 2022 02; 30(2):270-279.
Frangakis C, Sohn JH, Bas A, Chapiro J, Schernthaner RE, Lin M, Hamilton JP, Pawlik TM, Hong K, Duran R. Longitudinal Analysis of the Effect of Repeated Transarterial Chemoembolization for Liver Cancer on Portal Venous Pressure. Front Oncol. 2021; 11:639235.
Joseph GB, McCulloch CE, Sohn JH, Pedoia V, Majumdar S, Link TM. AI MSK clinical applications: cartilage and osteoarthritis. Skeletal Radiol. 2022 Feb; 51(2):331-343.
Hsu W, Sohn JH. Using Radiomics for Risk Stratification: Where We Need to Go. Radiology. 2022 02; 302(2):435-437.
Dayan I, Roth HR, Zhong A, Harouni A, Gentili A, Abidin AZ, Liu A, Costa AB, Wood BJ, Tsai CS, Wang CH, Hsu CN, Lee CK, Ruan P, Xu D, Wu D, Huang E, Kitamura FC, Lacey G, de Antônio Corradi GC, Nino G, Shin HH, Obinata H, Ren H, Crane JC, Tetreault J, Guan J, Garrett JW, Kaggie JD, Park JG, Dreyer K, Juluru K, Kersten K, Rockenbach MABC, Linguraru MG, Haider MA, AbdelMaseeh M, Rieke N, Damasceno PF, E Silva PMC, Wang P, Xu S, Kawano S, Sriswasdi S, Park SY, Grist TM, Buch V, Jantarabenjakul W, Wang W, Tak WY, Li X, Lin X, Kwon YJ, Quraini A, Feng A, Priest AN, Turkbey B, Glicksberg B, Bizzo B, Kim BS, Tor-Díez C, Lee CC, Hsu CJ, Lin C, Lai CL, Hess CP, Compas C, Bhatia D, Oermann EK, Leibovitz E, Sasaki H, Mori H, Yang I, Sohn JH, Murthy KNK, Fu LC, de Mendonça MRF, Fralick M, Kang MK, Adil M, Gangai N, Vateekul P, Elnajjar P, Hickman S, Majumdar S, McLeod SL, Reed S, Gräf S, Harmon S, Kodama T, Puthanakit T, Mazzulli T, de Lavor VL, Rakvongthai Y, Lee YR, Wen Y, Gilbert FJ, Flores MG, Li Q. Federated learning for predicting clinical outcomes in patients with COVID-19. Nat Med. 2021 10; 27(10):1735-1743.
Chillakuru YR, Munjal S, Laguna B, Chen TL, Chaudhari GR, Vu T, Seo Y, Narvid J, Sohn JH. Development and web deployment of an automated neuroradiology MRI protocoling tool with natural language processing. BMC Med Inform Decis Mak. 2021 07 12; 21(1):213.
Shah V, Chillakuru YR, Rybkin A, Seo Y, Vu T, Sohn JH. Algorithmic Prediction of Delayed Radiology Turn-Around-Time during Non-Business Hours. Acad Radiol. 2022 05; 29(5):e82-e90.
Chillakuru YR, Kranen K, Doppalapudi V, Xiong Z, Fu L, Heydari A, Sheth A, Seo Y, Vu T, Sohn JH. High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels. BMC Med Imaging. 2021 04 09; 21(1):66.
Cho JY, Winant AJ, Sohn JH, Vargas SO, Lee EY. CT Features of Benign Intrapulmonary Lymph Nodes in Pediatric Patients With Known Extrapulmonary Solid Malignancy. AJR Am J Roentgenol. 2021 05; 216(5):1357-1362.
Sohn JH, Behr SC, Hernandez Pampaloni M, Seo Y. Quantitative Assessment of Myocardial Ischemia With Positron Emission Tomography. J Thorac Imaging. 2023 Jul 01; 38(4):247-259.
Flores M, Dayan I, Roth H, Zhong A, Harouni A, Gentili A, Abidin A, Liu A, Costa A, Wood B, Tsai CS, Wang CH, Hsu CN, Lee CK, Ruan C, Xu D, Wu D, Huang E, Kitamura F, Lacey G, César de Antônio Corradi G, Shin HH, Obinata H, Ren H, Crane J, Tetreault J, Guan J, Garrett J, Park JG, Dreyer K, Juluru K, Kersten K, Bezerra Cavalcanti Rockenbach MA, Linguraru M, Haider M, AbdelMaseeh M, Rieke N, Damasceno P, Cruz E Silva PM, Wang P, Xu S, Kawano S, Sriswasdi S, Park SY, Grist T, Buch V, Jantarabenjakul W, Wang W, Tak WY, Li X, Lin X, Kwon F, Gilbert F, Kaggie J, Li Q, Quraini A, Feng A, Priest A, Turkbey B, Glicksberg B, Bizzo B, Kim BS, Tor-Diez C, Lee CC, Hsu CJ, Lin C, Lai CL, Hess C, Compas C, Bhatia D, Oermann E, Leibovitz E, Sasaki H, Mori H, Yang I, Sohn JH, Keshava Murthy KN, Fu LC, Furtado de Mendonça MR, Fralick M, Kang MK, Adil M, Gangai N, Vateekul P, Elnajjar P, Hickman S, Majumdar S, McLeod S, Reed S, Graf S, Harmon S, Kodama T, Puthanakit T, Mazzulli T, de Lima Lavor V, Rakvongthai Y, Lee YR, Wen Y. Federated Learning used for predicting outcomes in SARS-COV-2 patients. Res Sq. 2021 Jan 08.
Elicker BM, Sohn JH. Radiomics and Computerized Analysis of CT Images: Looking Forward. Radiol Cardiothorac Imaging. 2020 Dec; 2(6):e200589.
Chen TL, Emerling M, Chaudhari GR, Chillakuru YR, Seo Y, Vu TH, Sohn JH. Domain specific word embeddings for natural language processing in radiology. J Biomed Inform. 2021 01; 113:103665.
Yang J, Sohn JH, Behr SC, Gullberg GT, Seo Y. CT-less Direct Correction of Attenuation and Scatter in the Image Space Using Deep Learning for Whole-Body FDG PET: Potential Benefits and Pitfalls. Radiol Artif Intell. 2021 Mar; 3(2):e200137.
Sohn JH, Chillakuru YR, Lee S, Lee AY, Kelil T, Hess CP, Seo Y, Vu T, Joe BN. An Open-Source, Vender Agnostic Hardware and Software Pipeline for Integration of Artificial Intelligence in Radiology Workflow. J Digit Imaging. 2020 08; 33(4):1041-1046.
Sohn GK, Sohn JH, Yeh J, Chen Y, Brian Jiang SI. A deep learning algorithm to detect the presence of basal cell carcinoma on Mohs micrographic surgery frozen sections. J Am Acad Dermatol. 2021 May; 84(5):1437-1438.
Krogue JD, Cheng KV, Hwang KM, Toogood P, Meinberg EG, Geiger EJ, Zaid M, McGill KC, Patel R, Sohn JH, Wright A, Darger BF, Padrez KA, Ozhinsky E, Majumdar S, Pedoia V. Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning. Radiol Artif Intell. 2020 Mar; 2(2):e190023.
Schaffter T, Buist DSM, Lee CI, Nikulin Y, Ribli D, Guan Y, Lotter W, Jie Z, Du H, Wang S, Feng J, Feng M, Kim HE, Albiol F, Albiol A, Morrell S, Wojna Z, Ahsen ME, Asif U, Jimeno Yepes A, Yohanandan S, Rabinovici-Cohen S, Yi D, Hoff B, Yu T, Chaibub Neto E, Rubin DL, Lindholm P, Margolies LR, McBride RB, Rothstein JH, Sieh W, Ben-Ari R, Harrer S, Trister A, Friend S, Norman T, Sahiner B, Strand F, Guinney J, Stolovitzky G, and the DM DREAM Consortium, Mackey L, Cahoon J, Shen L, Sohn JH, Trivedi H, Shen Y, Buturovic L, Pereira JC, Cardoso JS, Castro E, Kalleberg KT, Pelka O, Nedjar I, Geras KJ, Nensa F, Goan E, Koitka S, Caballero L, Cox DD, Krishnaswamy P, Pandey G, Friedrich CM, Perrin D, Fookes C, Shi B, Cardoso Negrie G, Kawczynski M, Cho K, Khoo CS, Lo JY, Sorensen AG, Jung H. Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms. JAMA Netw Open. 2020 03 02; 3(3):e200265.
von Schacky CE, Sohn JH, Liu F, Ozhinsky E, Jungmann PM, Nardo L, Posadzy M, Foreman SC, Nevitt MC, Link TM, Pedoia V. Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs. Radiology. 2020 04; 295(1):136-145.
Ring NY, diFlorio-Alexander RM, Bond JS, Rosenkranz KM, Cervantes E, Sohn JH, Marotti JD. Papillary and sclerosing lesions of the breast detected and biopsied by MRI: Clinical management, upgrade rate, and association with apocrine metaplasia. Breast J. 2019 05; 25(3):393-400.
Trivedi HM, Panahiazar M, Liang A, Lituiev D, Chang P, Sohn JH, Chen YY, Franc BL, Joe B, Hadley D. Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning. J Digit Imaging. 2019 02; 32(1):30-37.
Jaewon Yang, Dookun Park, Jae Ho Sohn, Zhen Jane Wang, Grant T. Gullberg, Youngho Seo. Joint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET. 2018; (11852).
Ding Y, Sohn JH, Kawczynski MG, Trivedi H, Harnish R, Jenkins NW, Lituiev D, Copeland TP, Aboian MS, Mari Aparici C, Behr SC, Flavell RR, Huang SY, Zalocusky KA, Nardo L, Seo Y, Hawkins RA, Hernandez Pampaloni M, Hadley D, Franc BL. A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain. Radiology. 2019 02; 290(2):456-464.
Nam JG, Park S, Hwang EJ, Lee JH, Jin KN, Lim KY, Vu TH, Sohn JH, Hwang S, Goo JM, Park CM. Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs. Radiology. 2019 01; 290(1):218-228.
Trivedi H, Mesterhazy J, Laguna B, Vu T, Sohn JH. Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm. J Digit Imaging. 2018 04; 31(2):245-251.
Kim KW, Kim HJ, Sohn JH, Yim JH, Kim YC, Oh H. Anti-neuroinflammatory effect of 6,8,1'-tri-O-methylaverantin, a metabolite from a marine-derived fungal strain Aspergillus sp., via upregulation of heme oxygenase-1 in lipopolysaccharide-activated microglia. Neurochem Int. 2018 02; 113:8-22.
Schernthaner RE, Haroun RR, Nguyen S, Duran R, Sohn JH, Sahu S, Chapiro J, Zhao Y, Radaelli A, van der Bom IM, Mauti M, Hong K, Geschwind JH, Lin M. Characteristics of a New X-Ray Imaging System for Interventional Procedures: Improved Image Quality and Reduced Radiation Dose. Cardiovasc Intervent Radiol. 2018 Mar; 41(3):502-508.
Haider SJA, diFlorio-Alexander R, Lam DH, Cho JY, Sohn JH, Harris R. Prospective Comparison of Diagnostic Accuracy Between Point-of-Care and Conventional Ultrasound in a General Diagnostic Department: Implications for Resource-Limited Settings. J Ultrasound Med. 2017 Jul; 36(7):1453-1460.
Sohn JH, Duran R, Zhao Y, Fleckenstein F, Chapiro J, Sahu S, Schernthaner RE, Qian T, Lee H, Zhao L, Hamilton J, Frangakis C, Lin M, Salem R, Geschwind JF. Validation of the Hong Kong Liver Cancer Staging System in Determining Prognosis of the North American Patients Following Intra-arterial Therapy. Clin Gastroenterol Hepatol. 2017 May; 15(5):746-755.e4.
Sahu S, Schernthaner R, Ardon R, Chapiro J, Zhao Y, Sohn JH, Fleckenstein F, Lin M, Geschwind JF, Duran R. Imaging Biomarkers of Tumor Response in Neuroendocrine Liver Metastases Treated with Transarterial Chemoembolization: Can Enhancing Tumor Burden of the Whole Liver Help Predict Patient Survival? Radiology. 2017 06; 283(3):883-894.
Zhao Y, Duran R, Chapiro J, Sohn JH, Sahu S, Fleckenstein F, Smolka S, Pawlik TM, Schernthaner R, Zhao L, Lee H, He S, Lin M, Geschwind JF. Transarterial Chemoembolization for the Treatment of Advanced-Stage Hepatocellular Carcinoma. J Gastrointest Surg. 2016 12; 20(12):2002-2009.
Fleckenstein FN, Schernthaner RE, Duran R, Sohn JH, Sahu S, Marshall K, Lin M, Gebauer B, Chapiro J, Salem R, Geschwind JF. Renal Cell Carcinoma Metastatic to the Liver: Early Response Assessment after Intraarterial Therapy Using 3D Quantitative Tumor Enhancement Analysis. Transl Oncol. 2016 Oct; 9(5):377-383.
Schernthaner RE, Haroun RR, Duran R, Lee H, Sahu S, Sohn JH, Chapiro J, Zhao Y, Gorodetski B, Fleckenstein F, Smolka S, Radaelli A, van der Bom IM, Lin M, Geschwind JF. Improved Visibility of Metastatic Disease in the Liver During Intra-Arterial Therapy Using Delayed Arterial Phase Cone-Beam CT. Cardiovasc Intervent Radiol. 2016 Oct; 39(10):1429-37.
Fleckenstein FN, Schernthaner RE, Duran R, Sohn JH, Sahu S, Zhao Y, Hamm B, Gebauer B, Lin M, Geschwind JF, Chapiro J. 3D Quantitative tumour burden analysis in patients with hepatocellular carcinoma before TACE: comparing single-lesion vs. multi-lesion imaging biomarkers as predictors of patient survival. Eur Radiol. 2016 Sep; 26(9):3243-52.
Tacher V, Duran R, Lin M, Sohn JH, Sharma KV, Wang Z, Chapiro J, Gacchina Johnson C, Bhagat N, Dreher MR, Schäfer D, Woods DL, Lewis AL, Tang Y, Grass M, Wood BJ, Geschwind JF. Multimodality Imaging of Ethiodized Oil-loaded Radiopaque Microspheres during Transarterial Embolization of Rabbits with VX2 Liver Tumors. Radiology. 2016 Jun; 279(3):741-53.
Tacher V, Lin M, Duran R, Yarmohammadi H, Lee H, Chapiro J, Chao M, Wang Z, Frangakis C, Sohn JH, Maltenfort MG, Pawlik T, Geschwind JF. Comparison of Existing Response Criteria in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Using a 3D Quantitative Approach. Radiology. 2016 Jan; 278(1):275-84.
Chockalingam A, Duran R, Sohn JH, Schernthaner R, Chapiro J, Lee H, Sahu S, Nguyen S, Geschwind JF, Lin M. Radiologic-pathologic analysis of quantitative 3D tumour enhancement on contrast-enhanced MR imaging: a study of ROI placement. Eur Radiol. 2016 Jan; 26(1):103-13.
Schernthaner RE, Chapiro J, Sahu S, Withagen P, Duran R, Sohn JH, Radaelli A, van der Bom IM, Geschwind JF, Lin M. Feasibility of a Modified Cone-Beam CT Rotation Trajectory to Improve Liver Periphery Visualization during Transarterial Chemoembolization. Radiology. 2015 Dec; 277(3):833-41.
Ng T, Ryu JR, Sohn JH, Tan T, Song H, Ming GL, Goh EL. Class 3 semaphorin mediates dendrite growth in adult newborn neurons through Cdk5/FAK pathway. PLoS One. 2013; 8(6):e65572.
Cheung YY, Jung B, Sohn JH, Ogrinc G. Quality initiatives: statistical control charts: simplifying the analysis of data for quality improvement. Radiographics. 2012 Nov-Dec; 32(7):2113-26.
Sohn JH, Han MJ, Lee MY, Kang SK, Yang JS. Simultaneous determination of N-hydroxymethyl-N-methylformamide, N-methylformamide and N-acetyl-S-(N-methylcarbamoyl)cystein in urine samples from workers exposed to N,N-dimethylformamide by liquid chromatography-tandem mass spectrometry. J Pharm Biomed Anal. 2005 Feb 07; 37(1):165-70.
