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Profile

Hari Trivedi

  • Department of Radiology and Imaging Sciences
    Associate Professor
  • hari.trivedi@emory.edu
Head shot of Hari Trivedi

Overview

Dr. Hari M. Trivedi is an Associate Professor in the Division of Emergency and Trauma Imaging in the Department of Radiology and Imaging Sciences with joint appointment in the Department of Biomedical Informatics. His clinical expertise is in emergency and trauma imaging with fellowship training in musculoskeletal imaging.

As co-director of the HITI Lab, his research areas include the application of machine learning (artificial intelligence) to solve problems in radiology, most recently developing algorithms to improve breast cancer screening.

Academic Appointment

  • Associate Professor, Emory University School of Medicine

Education

Degrees

  • MD from Medical College of Georgia
  • BS from Georgia Institute of Technology

Research

Publications

  • Subgroup evaluation to understand performance gaps in deep learning-based classification of regions of interest on mammography.
    PLOS Digit Health Volume: 4 Page(s): e0000811
    04/01/2025 Authors: Woo M; Zhang L; Brown-Mulry B; Hwang I; Gichoya JW; Gastounioti A; Banerjee I; Seyyed-Kalantari L; Trivedi H
  • Evaluation of Multilingual Simplifications of IR Procedural Reports Using GPT-4.
    J Vasc Interv Radiol Volume: 36 Page(s): 696 - 703.e1
    04/01/2025 Authors: Li HH; Moon JT; Kumar S; Ricci J; Sim N; Bercu ZL; Newsome J; Trivedi HM; Gichoya JW
  • Innovating Challenges and Experiences in Emory Health AI Bias Datathon: Experience Report.
    J Imaging Inform Med
    02/25/2025 Authors: Paddo AR; Purkayastha S; Newsome J; Trivedi H; Gichoya JW
  • Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review.
    Clin Imaging Volume: 118 Page(s): 110369
    02/01/2025 Authors: Laws E; Palmer J; Alderman J; Sharma O; Ngai V; Salisbury T; Hussain G; Ahmed S; Sachdeva G; Vadera S
  • Multi-Institutional Evaluation and Training of Breast Density Classification AI Algorithm Using ACR Connect and AI-LAB.
    J Am Coll Radiol Volume: 22 Page(s): 211 - 219
    02/01/2025 Authors: Brink L; Romero RA; Coombs L; Tilkin M; Mazaheri S; Gichoya J; Zaiman Z; Trivedi H; Medina A; Bizzo BC
  • DICOM LUT is a Key Step in Medical Image Preprocessing Towards AI Generalizability.
    J Imaging Inform Med
    01/31/2025 Authors: Dapamede T; Li F; Khosravi B; Purkayastha S; Trivedi H; Gichoya J
  • Enhancing radiology training with GPT-4: Pilot analysis of automated feedback in trainee preliminary reports.
    Curr Probl Diagn Radiol Volume: 54 Page(s): 151 - 158
    01/01/2025 Authors: Bala W; Li H; Moon J; Trivedi H; Gichoya J; Balthazar P
  • Towards inclusive biodesign and innovation: lowering barriers to entry in medical device development through large language model tools.
    BMJ Health Care Inform Volume: 31
    07/23/2024 Authors: Moon JT; Lima NJ; Froula E; Li H; Newsome J; Trivedi H; Bercu Z; Wawira Gichoya J
  • Reply.
    J Am Coll Radiol Volume: 21 Page(s): 988
    07/01/2024 Authors: Li H; Moon JT; Trivedi HM; Gichoya JW
  • Synthetically enhanced: unveiling synthetic data's potential in medical imaging research.
    EBioMedicine Volume: 104 Page(s): 105174
    06/01/2024 Authors: Khosravi B; Li F; Dapamede T; Rouzrokh P; Gamble CU; Trivedi HM; Wyles CC; Sellergren AB; Purkayastha S; Erickson BJ
  • Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging.
    Curr Atheroscler Rep Volume: 26 Page(s): 91 - 102
    04/01/2024 Authors: van Assen M; Beecy A; Gershon G; Newsome J; Trivedi H; Gichoya J
  • Understanding Radiological Journal Views and Policies on Large Language Models in Academic Writing.
    J Am Coll Radiol Volume: 21 Page(s): 678 - 682
    04/01/2024 Authors: Lee T-L; Ding J; Trivedi HM; Gichoya JW; Moon JT; Li H
  • AsymMirai: Interpretable Mammography-based Deep Learning Model for 1-5-year Breast Cancer Risk Prediction.
    Radiology Volume: 310 Page(s): e232780
    03/01/2024 Authors: Donnelly J; Moffett L; Barnett AJ; Trivedi H; Schwartz F; Lo J; Rudin C
  • AI Education for Fourth-Year Medical Students: Two-Year Experience of a Web-Based, Self-Guided Curriculum and Mixed Methods Study.
    JMIR Med Educ Volume: 10 Page(s): e46500
    02/20/2024 Authors: Abid A; Murugan A; Banerjee I; Purkayastha S; Trivedi H; Gichoya J
  • Generalisable deep learning method for mammographic density prediction across imaging techniques and self-reported race.
    Commun Med (Lond) Volume: 4 Page(s): 21
    02/19/2024 Authors: Khara G; Trivedi H; Newell MS; Patel R; Rijken T; Kecskemethy P; Glocker B
  • Breathing Life Into Artificial Intelligence.
    Crit Care Med Volume: 52 Page(s): 345 - 348
    02/01/2024 Authors: Trivedi H; Gichoya J
  • Deep learning for computer-aided abnormalities classification in digital mammogram: A data-centric perspective.
    Curr Probl Diagn Radiol Volume: 53 Page(s): 346 - 352
    01/01/2024 Authors: Nalla V; Pouriyeh S; Parizi RM; Trivedi H; Sheng QZ; Hwang I; Seyyed-Kalantari L; Woo M
  • The LLM Will See You Now: Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations.
    Radiol Artif Intell Volume: 6 Page(s): e230568
    01/01/2024 Authors: Trivedi H; Wawira Gichoya J
  • Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors

    11/21/2023 Authors: Heming CAM; Abdalla M; Mohanna S; Ahluwalia M; Zhang L; Trivedi H; Woo M; Fine B; Gichoya JW; Celi LA
  • Synthetically Enhanced: Unveiling Synthetic Data's Potential in Medical Imaging Research

    11/15/2023 Authors: Khosravi B; Li F; Dapamede T; Rouzrokh P; Gamble CU; Trivedi HM; Wyles CC; Sellergren AB; Purkayastha S; Erickson BJ
  • Hierarchical Classification System for Breast Cancer Specimen Report (HCSBC) -- an end-to-end model for characterizing severity and diagnosis

    11/02/2023 Authors: Santos T; Kamath H; McAdams CR; Newell MS; Mosunjac M; Oprea-Ilies G; Smith G; Lehman C; Gichoya J; Banerjee I
  • AI pitfalls and what not to do: mitigating bias in AI.
    Br J Radiol Volume: 96 Page(s): 20230023
    10/01/2023 Authors: Gichoya JW; Thomas K; Celi LA; Safdar N; Banerjee I; Banja JD; Seyyed-Kalantari L; Trivedi H; Purkayastha S
  • Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study.
    Int J Med Inform Volume: 178 Page(s): 105211
    10/01/2023 Authors: Wang R; Chen L-C; Moukheiber L; Seastedt KP; Moukheiber M; Moukheiber D; Zaiman Z; Moukheiber S; Litchman T; Trivedi H
  • "Shortcuts" Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation.
    J Am Coll Radiol Volume: 20 Page(s): 842 - 851
    09/01/2023 Authors: Banerjee I; Bhattacharjee K; Burns JL; Trivedi H; Purkayastha S; Seyyed-Kalantari L; Patel BN; Shiradkar R; Gichoya J
  • Decoding radiology reports: Potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports.
    Clin Imaging Volume: 101 Page(s): 137 - 141
    09/01/2023 Authors: Li H; Moon JT; Iyer D; Balthazar P; Krupinski EA; Bercu ZL; Newsome JM; Banerjee I; Gichoya JW; Trivedi HM
  • MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation.
    IEEE J Biomed Health Inform Volume: 27 Page(s): 3936 - 3947
    08/01/2023 Authors: Guo X; Gichoya JW; Trivedi H; Purkayastha S; Banerjee I
  • Ethics of large language models in medicine and medical research.
    Lancet Digit Health Volume: 5 Page(s): e333 - e335
    06/01/2023 Authors: Li H; Moon JT; Purkayastha S; Celi LA; Trivedi H; Gichoya JW
  • Multivariate Analysis on Performance Gaps of Artificial Intelligence Models in Screening Mammography

    05/07/2023 Authors: Zhang L; Brown-Mulry B; Nalla V; Hwang I; Gichoya JW; Gastounioti A; Banerjee I; Seyyed-Kalantari L; Woo M; Trivedi H
  • Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients.
    J Med Imaging (Bellingham) Volume: 10 Page(s): 034004
    05/01/2023 Authors: Tariq A; Tang S; Sakhi H; Celi LA; Newsome JM; Rubin DL; Trivedi H; Gichoya JW; Banerjee I
  • The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images.
    Radiol Artif Intell Volume: 5 Page(s): e220047
    01/01/2023 Authors: Jeong JJ; Vey BL; Bhimireddy A; Kim T; Santos T; Correa R; Dutt R; Mosunjac M; Oprea-Ilies G; Smith G
  • Biomedical heterogeneous data categorization and schema mapping toward data integration.
    Front Big Data Volume: 6 Page(s): 1173038
    01/01/2023 Authors: Deshpande P; Rasin A; Tchoua R; Furst J; Raicu D; Schinkel M; Trivedi H; Antani S
  • Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography.
    Front Radiol Volume: 3 Page(s): 1181190
    01/01/2023 Authors: Hwang I; Trivedi H; Brown-Mulry B; Zhang L; Nalla V; Gastounioti A; Gichoya J; Seyyed-Kalantari L; Banerjee I; Woo M
  • Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies

    11/13/2022 Authors: Wang R; Chen L-C; Moukheiber L; Moukheiber M; Moukheiber D; Zaiman Z; Moukheiber S; Litchman T; Seastedt K; Trivedi H
  • Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction.
    medRxiv
    10/28/2022 Authors: Tariq A; Tang S; Sakhi H; Celi LA; Newsome JM; Rubin DL; Trivedi H; Gichoy JW; Patel B; Banerjee I
  • Advances in Prediction of Readmission Rates Using Long Term Short Term Memory Networks on Healthcare Insurance Data

    06/30/2022 Authors: Khalid S; Matos F; Abunimer A; Bartlett J; Duszak R; Horny M; Gichoya J; Banerjee I; Trivedi H
  • AI recognition of patient race in medical imaging: a modelling study.
    Lancet Digit Health Volume: 4 Page(s): e406 - e414
    06/01/2022 Authors: Gichoya JW; Banerjee I; Bhimireddy AR; Burns JL; Celi LA; Chen L-C; Correa R; Dullerud N; Ghassemi M; Huang S-C
  • Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model.
    J Clin Oncol Volume: 40 Page(s): 1732 - 1740
    06/01/2022 Authors: Yala A; Mikhael PG; Strand F; Lin G; Satuluru S; Kim T; Banerjee I; Gichoya J; Trivedi H; Lehman CD
  • The Business of Artificial Intelligence in Radiology Has Little to Do With Radiologists.
    J Am Coll Radiol Volume: 19 Page(s): 564 - 566
    04/01/2022 Authors: Trivedi H
  • Systematic Review of Generative Adversarial Networks (GANs) for Medical Image Classification and Segmentation.
    J Digit Imaging Volume: 35 Page(s): 137 - 152
    04/01/2022 Authors: Jeong JJ; Tariq A; Adejumo T; Trivedi H; Gichoya JW; Banerjee I
  • Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice.
    Radiol Artif Intell Volume: 4 Page(s): e210114
    03/01/2022 Authors: Tadavarthi Y; Makeeva V; Wagstaff W; Zhan H; Podlasek A; Bhatia N; Heilbrun M; Krupinski E; Safdar N; Banerjee I
  • Automatic Localization and Brand Detection of Cervical Spine Hardware on Radiographs Using Weakly Supervised Machine Learning.
    Radiol Artif Intell Volume: 4 Page(s): e210099
    03/01/2022 Authors: Dutt R; Mendonca D; Phen HM; Broida S; Ghassemi M; Gichoya J; Banerjee I; Yoon T; Trivedi H
  • Multireader evaluation of radiologist performance for COVID-19 detection on emergency department chest radiographs.
    Clin Imaging Volume: 82 Page(s): 77 - 82
    02/01/2022 Authors: Gichoya JW; Sinha P; Davis M; Dunkle JW; Hamlin SA; Herr KD; Hoff CN; Letter HP; McAdams CR; Puthoff GD
  • Optimizing risk-based breast cancer screening policies with reinforcement learning.
    Nat Med Volume: 28 Page(s): 136 - 143
    01/01/2022 Authors: Yala A; Mikhael PG; Lehman C; Lin G; Strand F; Wan Y-L; Hughes K; Satuluru S; Kim T; Banerjee I
  • Graph-based Fusion Modeling and Explanation forDisease Trajectory Prediction.
    AMIA Annu Symp Proc Volume: 2022 Page(s): 1052 - 1061
    01/01/2022 Authors: Tariq A; Tang S; Sakhi H; Celi LA; Newsome JM; Rubin DL; Trivedi H; Gichoy JW; Patel B; Banerjee I
  • PathologyBERT - Pre-trained Vs. A New Transformer Language Model for Pathology Domain.
    AMIA Annu Symp Proc Volume: 2022 Page(s): 962 - 971
    01/01/2022 Authors: Santos T; Tariq A; Das S; Vayalpati K; Smith GH; Trivedi H; Banerjee I
  • Automatic Classification of Cancer Pathology Reports: A Systematic Review.
    J Pathol Inform Volume: 13 Page(s): 100003
    01/01/2022 Authors: Santos T; Tariq A; Gichoya JW; Trivedi H; Banerjee I
  • MedShift: identifying shift data for medical dataset curation

    12/27/2021 Authors: Guo X; Gichoya JW; Trivedi H; Purkayastha S; Banerjee I
  • Two-step adversarial debiasing with partial learning -- medical image case-studies

    11/16/2021 Authors: Correa R; Jeong JJ; Patel B; Trivedi H; Gichoya JW; Banerjee I
  • Query bot for retrieving patients' clinical history: A COVID-19 use-case.
    J Biomed Inform Volume: 123 Page(s): 103918
    11/01/2021 Authors: Wang Y; Tariq A; Khan F; Gichoya JW; Trivedi H; Banerjee I
  • SCU-Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammograms.
    Med Phys Volume: 48 Page(s): 5851 - 5861
    10/01/2021 Authors: Guo X; O'Neill WC; Vey B; Yang TC; Kim TJ; Ghassemi M; Pan I; Gichoya JW; Trivedi H; Banerjee I
  • A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images.
    J Digit Imaging Volume: 34 Page(s): 1005 - 1013
    08/01/2021 Authors: Kathiravelu P; Sharma P; Sharma A; Banerjee I; Trivedi H; Purkayastha S; Sinha P; Cadrin-Chenevert A; Safdar N; Gichoya JW
  • Patient-specific COVID-19 resource utilization prediction using fusion AI model.
    NPJ Digit Med Volume: 4 Page(s): 94
    06/03/2021 Authors: Tariq A; Celi LA; Newsome JM; Purkayastha S; Bhatia NK; Trivedi H; Gichoya JW; Banerjee I
  • PATIENT-SPECIFIC COVID-19 RESOURCE UTILIZATION PREDICTION USING FUSION AI MODEL
    Volume: 77 Page(s): 3194 - 3194
    05/11/2021 Authors: Tariq A; Celi L; Newsome J; Purkayastha S; Bhatia N; Merchant F; Trivedi H; Gichoya J; Banerjee I
  • Failures Hiding in Success for Artificial Intelligence in Radiology.
    J Am Coll Radiol Volume: 18 Page(s): 517 - 519
    03/01/2021 Authors: Purkayastha S; Trivedi H; Gichoya JW
  • Anatomic thermochromic tissue-mimicking phantom of the lumbar spine for pre-clinical evaluation of MR-guided focused ultrasound (MRgFUS) ablation of the facet joint.
    Int J Hyperthermia Volume: 38 Page(s): 130 - 135
    01/01/2021 Authors: Zhang W; Trivedi H; Adams M; Losey AD; Diederich CJ; Ozhinsky E; Rieke V; Bucknor MD
  • The State of Radiology AI: Considerations for Purchase Decisions and Current Market Offerings.
    Radiol Artif Intell Volume: 2 Page(s): e200004
    11/01/2020 Authors: Tadavarthi Y; Vey B; Krupinski E; Prater A; Gichoya J; Safdar N; Trivedi H
  • Artificial Intelligence in Quality Improvement: Reviewing Uses of Artificial Intelligence in Noninterpretative Processes from Clinical Decision Support to Education and Feedback.
    J Am Coll Radiol Volume: 17 Page(s): 1382 - 1387
    11/01/2020 Authors: Bhatia N; Trivedi H; Safdar N; Heilbrun ME
  • Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.
    J Am Coll Radiol Volume: 17 Page(s): 1371 - 1381
    11/01/2020 Authors: Tariq A; Purkayastha S; Padmanaban GP; Krupinski E; Trivedi H; Banerjee I; Gichoya JW
  • Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications

    06/23/2020 Authors: Banerjee I; Sinha P; Purkayastha S; Mashhaditafreshi N; Tariq A; Jeong J; Trivedi H; Gichoya JW
  • Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms.
    JAMA Netw Open Volume: 3 Page(s): e200265
    03/02/2020 Authors: Schaffter T; Buist DSM; Lee CI; Nikulin Y; Ribli D; Guan Y; Lotter W; Jie Z; Du H; Wang S
  • Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers.
    J Digit Imaging Volume: 32 Page(s): 228 - 233
    04/01/2019 Authors: Lituiev DS; Trivedi H; Panahiazar M; Norgeot B; Seo Y; Franc B; Harnish R; Kawczynski M; Hadley D
  • A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain.
    Radiology Volume: 290 Page(s): 456 - 464
    02/01/2019 Authors: Ding Y; Sohn JH; Kawczynski MG; Trivedi H; Harnish R; Jenkins NW; Lituiev D; Copeland TP; Aboian MS; Mari Aparici C
  • Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning.
    J Digit Imaging Volume: 32 Page(s): 30 - 37
    02/01/2019 Authors: Trivedi HM; Panahiazar M; Liang A; Lituiev D; Chang P; Sohn JH; Chen Y-Y; Franc BL; Joe B; Hadley D
  • Automatic Determination of the Need for Intravenous Contrast in Musculoskeletal MRI Examinations Using IBM Watson's Natural Language Processing Algorithm.
    J Digit Imaging Volume: 31 Page(s): 245 - 251
    04/01/2018 Authors: Trivedi H; Mesterhazy J; Laguna B; Vu T; Sohn JH
  • Multiple hereditary exostoses: A pseudoaneurysm masquerading as tumor.
    J Radiol Case Rep Volume: 10 Page(s): 50 - 59
    08/01/2016 Authors: Trivedi H; Link TM; O'Donnell RJ; Horvai AE; Motamedi D
  • Magnetic resonance imaging (MRI)-guided transurethral ultrasound therapy of the prostate: a preclinical study with radiological and pathological correlation using customised MRI-based moulds.
    BJU Int Volume: 112 Page(s): 508 - 516
    08/01/2013 Authors: Partanen A; Yerram NK; Trivedi H; Dreher MR; Oila J; Hoang AN; Volkin D; Nix J; Turkbey B; Bernardo M
  • Age-related changes in prostate zonal volumes as measured by high-resolution magnetic resonance imaging (MRI): a cross-sectional study in over 500 patients.
    BJU Int Volume: 110 Page(s): 1642 - 1647
    12/01/2012 Authors: Turkbey B; Huang R; Vourganti S; Trivedi H; Bernardo M; Yan P; Benjamin C; Pinto PA; Choyke PL
  • Use of patient-specific MRI-based prostate mold for validation of multiparametric MRI in localization of prostate cancer.
    Urology Volume: 79 Page(s): 233 - 239
    01/01/2012 Authors: Trivedi H; Turkbey B; Rastinehad AR; Benjamin CJ; Bernardo M; Pohida T; Shah V; Merino MJ; Wood BJ; Linehan WM
  • Comparison of clinical and imaging features in succinate dehydrogenase-positive versus sporadic paragangliomas.
    Surgery Volume: 150 Page(s): 1186 - 1193
    12/01/2011 Authors: Venkatesan AM; Trivedi H; Adams KT; Kebebew E; Pacak K; Hughes MS
  • Multiparametric 3T prostate magnetic resonance imaging to detect cancer: histopathological correlation using prostatectomy specimens processed in customized magnetic resonance imaging based molds.
    J Urol Volume: 186 Page(s): 1818 - 1824
    11/01/2011 Authors: Turkbey B; Mani H; Shah V; Rastinehad AR; Bernardo M; Pohida T; Pang Y; Daar D; Benjamin C; McKinney YL
  • Postural responses to unexpected perturbations of balance during reaching.
    Exp Brain Res Volume: 202 Page(s): 485 - 491
    04/01/2010 Authors: Trivedi H; Leonard JA; Ting LH; Stapley PJ
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