Hari M. Trivedi, MD

Research Program

Cancer Prevention and Control
Email Address

hari.trivedi@emory.edu

Biography

Hari M. Trivedi, MD, is an associate professor in the Department of Radiology and Imaging Sciences with a joint appointment in the Department of Biomedical Informatics at Emory University School of Medicine. Dr. Trivedi is the co-director of the Health Innovation and Translational Informatics (HITI) lab at Emory University where he works on multiple machine learning projects related to radiology, and has supervised over 30 undergraduate, graduate and doctoral students. His clinical expertise is in emergency and trauma imaging with fellowship training in musculoskeletal imaging.

Dr. Trivedi is a member of the Cancer Prevention and Control Research Program Winship Cancer Institute of Emory University.

Education

Dr. Trivedi received his MD from Medical College of Georgia in Augusta, Georgia. He completed his residency in diagnostic radiology and a fellowship in musculoskeletal imaging at University of California, San Francisco.

Titles & Roles

Associate Professor, Department of Radiology and Imaging Services

Emory University School of Medicine
Associate Professor, Department of Biomedical Informatics

Emory University School of Medicine

Professional Memberships

Dr. Trivedi holds professional memberships with the Radiological Society of North America, Society for Skeletal Radiology and American College of Radiology.

Research

Dr. Trivedi's research interest is in the application of machine learning (artificial intelligence) to solve problems in radiology, most recently developing algorithms to improve breast cancer screening.

Publications

Title/Journal	Authors	Publication Date
Enhancing radiology training with GPT-4: Pilot analysis of automated feedback in trainee preliminary reports. Current problems in diagnostic radiology	W Bala, H Li, J Moon, H Trivedi, J Gichoya, P Balthazar	08/15/2024
Reply. Journal of the American College of Radiology : JACR	H Li, JT Moon, HM Trivedi, JW Gichoya	07/01/2024
Synthetically enhanced: unveiling synthetic data's potential in medical imaging research. EBioMedicine	B Khosravi, F Li, T Dapamede, P Rouzrokh, CU Gamble, HM Trivedi, CC Wyles, AB Sellergren, S Purkayastha, BJ Erickson, JW Gichoya	06/01/2024
Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging. Current atherosclerosis reports	M van Assen, A Beecy, G Gershon, J Newsome, H Trivedi, J Gichoya	04/01/2024
Understanding Radiological Journal Views and Policies on Large Language Models in Academic Writing. Journal of the American College of Radiology : JACR	TL Lee, J Ding, HM Trivedi, JW Gichoya, JT Moon, H Li	04/01/2024
AI Education for Fourth-Year Medical Students: Two-Year Experience of a Web-Based, Self-Guided Curriculum and Mixed Methods Study. JMIR medical education	A Abid, A Murugan, I Banerjee, S Purkayastha, H Trivedi, J Gichoya	02/20/2024
Breathing Life Into Artificial Intelligence. Critical care medicine	H Trivedi, J Gichoya	02/01/2024
Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study. International journal of medical informatics	R Wang, LC Chen, L Moukheiber, KP Seastedt, M Moukheiber, D Moukheiber, Z Zaiman, S Moukheiber, T Litchman, H Trivedi, R Steinberg, JW Gichoya, PC Kuo, LA Celi	10/01/2023
AI pitfalls and what not to do: mitigating bias in AI. The British journal of radiology	JW Gichoya, K Thomas, LA Celi, N Safdar, I Banerjee, JD Banja, L Seyyed-Kalantari, H Trivedi, S Purkayastha	10/01/2023
Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports. Clinical imaging	H Li, JT Moon, D Iyer, P Balthazar, EA Krupinski, ZL Bercu, JM Newsome, I Banerjee, JW Gichoya, HM Trivedi	09/01/2023
"Shortcuts" Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation. Journal of the American College of Radiology : JACR	I Banerjee, K Bhattacharjee, JL Burns, H Trivedi, S Purkayastha, L Seyyed-Kalantari, BN Patel, R Shiradkar, J Gichoya	09/01/2023
MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation. IEEE journal of biomedical and health informatics	X Guo, JW Gichoya, H Trivedi, S Purkayastha, I Banerjee	08/01/2023
Ethics of large language models in medicine and medical research. The Lancet. Digital health	H Li, JT Moon, S Purkayastha, LA Celi, H Trivedi, JW Gichoya	06/01/2023
Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients. Journal of medical imaging (Bellingham, Wash.)	A Tariq, S Tang, H Sakhi, LA Celi, JM Newsome, DL Rubin, H Trivedi, JW Gichoya, I Banerjee	05/01/2023
Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography. Frontiers in radiology	I Hwang, H Trivedi, B Brown-Mulry, L Zhang, V Nalla, A Gastounioti, J Gichoya, L Seyyed-Kalantari, I Banerjee, M Woo	01/01/2023
The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images. Radiology. Artificial intelligence	JJ Jeong, BL Vey, A Bhimireddy, T Kim, T Santos, R Correa, R Dutt, M Mosunjac, G Oprea-Ilies, G Smith, M Woo, CR McAdams, MS Newell, I Banerjee, J Gichoya, H Trivedi	01/01/2023
Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model. Journal of clinical oncology : official journal of the American Society of Clinical Oncology	A Yala, PG Mikhael, F Strand, G Lin, S Satuluru, T Kim, I Banerjee, J Gichoya, H Trivedi, CD Lehman, K Hughes, DJ Sheedy, LM Matthis, B Karunakaran, KE Hegarty, S Sabino, TB Silva, MC Evangelista, RF Caron, B Souza, EC Mauad, T Patalon, S Handelman-Gotlib, M Guindy, R Barzilay	06/01/2022
AI recognition of patient race in medical imaging: a modelling study. The Lancet. Digital health	JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, N Dullerud, M Ghassemi, SC Huang, PC Kuo, MP Lungren, LJ Palmer, BJ Price, S Purkayastha, AT Pyrros, L Oakden-Rayner, C Okechukwu, L Seyyed-Kalantari, H Trivedi, R Wang, Z Zaiman, H Zhang	06/01/2022
Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation. Journal of digital imaging	JJ Jeong, A Tariq, T Adejumo, H Trivedi, JW Gichoya, I Banerjee	04/01/2022
Automatic Localization and Brand Detection of Cervical Spine Hardware on Radiographs Using Weakly Supervised Machine Learning. Radiology. Artificial intelligence	R Dutt, D Mendonca, HM Phen, S Broida, M Ghassemi, J Gichoya, I Banerjee, T Yoon, H Trivedi	03/01/2022
Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice. Radiology. Artificial intelligence	Y Tadavarthi, V Makeeva, W Wagstaff, H Zhan, A Podlasek, N Bhatia, M Heilbrun, E Krupinski, N Safdar, I Banerjee, J Gichoya, H Trivedi	03/01/2022
Multireader evaluation of radiologist performance for COVID-19 detection on emergency department chest radiographs. Clinical imaging	JW Gichoya, P Sinha, M Davis, JW Dunkle, SA Hamlin, KD Herr, CN Hoff, HP Letter, CR McAdams, GD Puthoff, KL Smith, SD Steenburg, I Banerjee, H Trivedi	02/01/2022
Automatic Classification of Cancer Pathology Reports: A Systematic Review. Journal of pathology informatics	T Santos, A Tariq, JW Gichoya, H Trivedi, I Banerjee	01/01/2022
Optimizing risk-based breast cancer screening policies with reinforcement learning. Nature medicine	A Yala, PG Mikhael, C Lehman, G Lin, F Strand, YL Wan, K Hughes, S Satuluru, T Kim, I Banerjee, J Gichoya, H Trivedi, R Barzilay	01/01/2022
Query bot for retrieving patients' clinical history: A COVID-19 use-case. Journal of biomedical informatics	Y Wang, A Tariq, F Khan, JW Gichoya, H Trivedi, I Banerjee	11/01/2021
SCU-Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammograms. Medical physics	X Guo, WC O'Neill, B Vey, TC Yang, TJ Kim, M Ghassemi, I Pan, JW Gichoya, H Trivedi, I Banerjee	10/01/2021
A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images. Journal of digital imaging	P Kathiravelu, P Sharma, A Sharma, I Banerjee, H Trivedi, S Purkayastha, P Sinha, A Cadrin-Chenevert, N Safdar, JW Gichoya	08/01/2021
Patient-specific COVID-19 resource utilization prediction using fusion AI model. NPJ digital medicine	A Tariq, LA Celi, JM Newsome, S Purkayastha, NK Bhatia, H Trivedi, JW Gichoya, I Banerjee	06/03/2021
Failures Hiding in Success for Artificial Intelligence in Radiology. Journal of the American College of Radiology : JACR	S Purkayastha, H Trivedi, JW Gichoya	03/01/2021
The State of Radiology AI: Considerations for Purchase Decisions and Current Market Offerings. Radiology. Artificial intelligence	Y Tadavarthi, B Vey, E Krupinski, A Prater, J Gichoya, N Safdar, H Trivedi	11/01/2020