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
An Intensity-Based Cropping Approach for Fast, Interpretable, and Robust Localization of the Knee Joint in Radiographs. Journal of imaging informatics in medicine	M Chavoshi, H Trivedi, J Newsome, A Mansuri, K Aitcheson, F Li, T Dapamede, JW Gichoya	05/11/2026
Risk Stratification for Breast Cancer Screening: AJR Expert Panel Narrative Review. AJR. American journal of roentgenology	C Schopf, SM Domchek, JA Tice, PR Eby, R Mann, CD Lehman, A Cozzi, H Trivedi, JM Lee	05/06/2026
Leveraging artificial intelligence for equitable women's health outcomes through imaging. The British journal of radiology	B Ndirangu, J Newsome, M Chavoshi, H Trivedi, JW Gichoya	04/01/2026
Subgroup performance of a commercial digital breast tomosynthesis model for breast cancer detection. Nature communications	B Brown-Mulry, RS Isaac, SH Lee, A Seth, K Min, T Dapamede, F Li, A Mansuri, M Woo, CA Fauria-Robinson, B Paryani, JW Gichoya, H Trivedi	03/19/2026
The Emory Knee Radiograph (MRKR) Dataset. Journal of imaging informatics in medicine	BJ Price, J Gichoya, M Chavoshi, J Adleberg, K Thomas, Z Zaiman, A Mansuri, B Brown-Mulry, C Okechukwu, T Dapamede, F Li, RS Isaac, O Goltzer, M Gottschalk, H Trivedi	03/10/2026
Artificial intelligence-based quantification of breast arterial calcifications to predict cardiovascular morbidity and mortality. European heart journal	T Dapamede, A Urooj, V Joshi, G Gershon, F Li, M Chavoshi, B Brown-Mulry, RS Isaac, A Mansuri, C Robichaux, C Ayoub, R Arsanjani, L Sperling, J Gichoya, M van Assen, WC O'Neill, I Banerjee, H Trivedi	03/09/2026
Harnessing Large Language Models for Radiology Report Simplification and Improving Patient Comprehension: A Narrative Review. Academic radiology	SU Naidu, H Li, JT Moon, R Kim, E Patel, ZL Bercu, J Newsome, JW Gichoya, H Trivedi	03/01/2026
Impact of Label Noise from Large Language Model-generated Annotations on Evaluation of Diagnostic Model Performance. Radiology. Artificial intelligence	M Chavoshi, H Trivedi, A Mansuri, J Newsome, CR Sanyika, RS Isaac, F Li, T Dapamede, JW Gichoya	03/01/2026
Role of Model Size and Prompting Strategies in Extracting Labels from Free-Text Radiology Reports with Open-Source Large Language Models. Journal of imaging informatics in medicine	B Khosravi, T Dapamede, F Li, Z Chisango, A Bikmal, S Garg, B Owosela, A Khosravi, M Chavoshi, HM Trivedi, CC Wyles, S Purkayastha, BJ Erickson, JW Gichoya	02/01/2026
Real-world performance evaluation of a commercial deep learning model for intracranial hemorrhage detection. NPJ digital medicine	M Chavoshi, A Mansuri, W Bala, B Brown-Mulry, T Dapamede, R Isaac, B Khosravi, H Li, F Li, JT Moon, C Robichaux, DIG Cohen-Addad, NV Salastekar, JW Gichoya, H Trivedi	12/24/2025
The role of AI for improved management of breast cancer: Enhanced diagnosis and health disparity mitigation. Computer methods and programs in biomedicine	O Akinniyi, J Dixon, J Aina, F Weaks, GA Saleh, MM Rahman, T Meeker, H Trivedi, JW Gichoya, F Khalifa	12/01/2025
Innovating Challenges and Experiences in Emory Health AI Bias Datathon: Experience Report. Journal of imaging informatics in medicine	AR Paddo, S Purkayastha, J Newsome, H Trivedi, JW Gichoya	12/01/2025
Artificial Intelligence Chest X-Ray Opportunistic Screening Model for Coronary Artery Calcium Deposition: A Multi-Objective Model With Multimodal Data Fusion. Mayo Clinic proceedings. Digital health	J Jeong, CJ Chao, R Arsanjani, C Ayoub, SJ Lester, M Pereyra, EF Said, M Roarke, C Tagle-Cornell, LM Koepke, YL Tsai, C Jung-Hsuan, CC Chang, JM Farina, H Trivedi, BN Patel, I Banerjee	12/01/2025
Are AI Models Using Shortcuts to Detect Breast Cancer Risk? Radiology. Artificial intelligence	JW Gichoya, H Trivedi	11/01/2025
DICOM LUT is a Key Step in Medical Image Preprocessing Towards AI Generalizability. Journal of imaging informatics in medicine	T Dapamede, F Li, B Khosravi, S Purkayastha, H Trivedi, J Gichoya	10/01/2025
Comparative Evaluation of Deep Learning and Foundation Model Embeddings for Osteoarthritis Feature Classification in Knee Radiographs. Journal of imaging informatics in medicine	M Chavoshi, H Trivedi, J Newsome, A Mansuri, F Li, T Dapamede, B Khosravi, J Gichoya	09/02/2025
AI in Action: A Road Map From the Radiology AI Council for Effective Model Evaluation and Deployment. Journal of the American College of Radiology : JACR	H Trivedi, B Khosravi, J Gichoya, L Benson, D Dyckman, J Galt, BM Howard, EG Kikano, J Kunjummen, N Lall, XT Li, S Patel, N Safdar, N Salastekar, C Segovis, M van Assen, P Harri	09/01/2025
Exploring the potential of generative artificial intelligence in medical image synthesis: opportunities, challenges, and future directions. The Lancet. Digital health	B Khosravi, S Purkayastha, BJ Erickson, HM Trivedi, JW Gichoya	08/14/2025
Performance of Algorithms Submitted in the 2023 RSNA Screening Mammography Breast Cancer Detection AI Challenge. Radiology	Y Chen, GJW Partridge, M Vazirabad, RL Ball, HM Trivedi, FC Kitamura, HML Frazer, TA Retson, L Yao, IT Darker, T Kelil, J Mongan, RM Mann, L Moy	08/01/2025
Evaluation of Multilingual Simplifications of IR Procedural Reports Using GPT-4. Journal of vascular and interventional radiology : JVIR	HH Li, JT Moon, S Kumar, J Ricci, N Sim, ZL Bercu, J Newsome, HM Trivedi, JW Gichoya	04/01/2025
Subgroup evaluation to understand performance gaps in deep learning-based classification of regions of interest on mammography. PLOS digital health	M Woo, L Zhang, B Brown-Mulry, I Hwang, JW Gichoya, A Gastounioti, I Banerjee, L Seyyed-Kalantari, H Trivedi	04/01/2025
Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review. Clinical imaging	E Laws, J Palmer, J Alderman, O Sharma, V Ngai, T Salisbury, G Hussain, S Ahmed, G Sachdeva, S Vadera, B Mateen, R Matin, S Kuku, M Calvert, J Gath, D Treanor, M McCradden, M Mackintosh, J Gichoya, H Trivedi, AK Denniston, X Liu	02/01/2025
Multi-Institutional Evaluation and Training of Breast Density Classification AI Algorithm Using ACR Connect and AI-LAB. Journal of the American College of Radiology : JACR	L Brink, RA Romero, L Coombs, M Tilkin, S Mazaheri, J Gichoya, Z Zaiman, H Trivedi, A Medina, BC Bizzo, K Chang, J Kalpathy-Cramer, MK Kalra, B Astuto, C Ramirez, S Majumdar, AY Lee, CI Lee, NM Cross, PH Chen, M Ciancibello, A Chiunda, D Nachand, C Shah, C Wald	02/01/2025
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	01/01/2025
Multi-site validation of an interpretable model to analyze breast masses. PloS one	L Moffett, AJ Barnett, J Donnelly, FR Schwartz, H Trivedi, J Lo, C Rudin	01/01/2025
Towards inclusive biodesign and innovation: lowering barriers to entry in medical device development through large language model tools. BMJ health & care informatics	JT Moon, NJ Lima, E Froula, H Li, J Newsome, H Trivedi, Z Bercu, J Wawira Gichoya	07/23/2024
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
AsymMirai: Interpretable Mammography-based Deep Learning Model for 1-5-year Breast Cancer Risk Prediction. Radiology	J Donnelly, L Moffett, AJ Barnett, H Trivedi, F Schwartz, J Lo, C Rudin	03/01/2024
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
Generalisable deep learning method for mammographic density prediction across imaging techniques and self-reported race. Communications medicine	G Khara, H Trivedi, MS Newell, R Patel, T Rijken, P Kecskemethy, B Glocker	02/19/2024
Breathing Life Into Artificial Intelligence. Critical care medicine	H Trivedi, J Gichoya	02/01/2024
A Multi-Task Learning Approach for Segmentation of Breast Arterial Calcifications in Screening Mammograms. AMIA ... Annual Symposium proceedings. AMIA Symposium	A Urooj, T Dapamede, B Patel, C Ayoub, R Arsanjani, WC O'Neill, H Trivedi, I Banerjee	01/01/2024
Deep learning for computer-aided abnormalities classification in digital mammogram: A data-centric perspective. Current problems in diagnostic radiology	V Nalla, S Pouriyeh, RM Parizi, H Trivedi, QZ Sheng, I Hwang, L Seyyed-Kalantari, M Woo	01/01/2024
The LLM Will See You Now: Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations. Radiology. Artificial intelligence	H Trivedi, J Wawira Gichoya	01/01/2024
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
Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. medRxiv : the preprint server for health sciences	A Tariq, S Tang, H Sakhi, LA Celi, JM Newsome, DL Rubin, H Trivedi, JW Gichoy, B Patel, I Banerjee	10/28/2022
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
The Business of Artificial Intelligence in Radiology Has Little to Do With Radiologists. Journal of the American College of Radiology : JACR	H Trivedi	04/01/2022
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
PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain. AMIA ... Annual Symposium proceedings. AMIA Symposium	T Santos, A Tariq, S Das, K Vayalpati, GH Smith, H Trivedi, I Banerjee	01/01/2022
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
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
Anatomic thermochromic tissue-mimicking phantom of the lumbar spine for pre-clinical evaluation of MR-guided focused ultrasound (MRgFUS) ablation of the facet joint. International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group	W Zhang, H Trivedi, M Adams, AD Losey, CJ Diederich, E Ozhinsky, V Rieke, MD Bucknor	01/01/2021
Artificial Intelligence in Quality Improvement: Reviewing Uses of Artificial Intelligence in Noninterpretative Processes from Clinical Decision Support to Education and Feedback. Journal of the American College of Radiology : JACR	N Bhatia, H Trivedi, N Safdar, ME Heilbrun	11/01/2020
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
Postural responses to unexpected perturbations of balance during reaching. Experimental brain research	H Trivedi, JA Leonard, LH Ting, PJ Stapley	04/01/2010