Marzyeh Ghassemi - Publications, H-index & Citations

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Marzyeh Ghassemi

massachusetts institute of technology

52H-index

294Paper Count

1.4WCitation Count

Published Papers 59

Publication Date

Privacy risks from medical AI tools are not shared equally

Nature

IF48.5

2026-08-04

PREAI

Haoran Zhang; Marzyeh Ghassemi

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Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people

Nature Medicine

IF50

2026-08-04

OAAI

Xuhai ‘Orson’ Xu; Haoyu Hu; Haoran Zhang; Will Ke Wang; Reina Wang; Luis R. Soenksen; Omar Badri; Sheharbano Jafry; Elise Burger; Lotanna Nwandu; Apoorva Mehta; Erik P. Duhaime; Asif Qasim; Hause Lin; Janis Karleen Pereira; Jonathan Hershon; Paulius Mui; Alejandro A. Gru; Noémie Elhadad; Lena Mamykina; Matthew Groh; Philipp Tschandl; Roxana Daneshjou; Marzyeh Ghassemi

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Physical restraint use in a United States intensive care unit—a retrospective cross sectional, single center cohort study from 2008 to 2022

The Lancet Regional Health - Americas

IF0

2026-01-14

OAAI

Maximin Lange; Leo A. Celi; Ben Carter; Jesse D. Raffa; Sharon C. O'Donoghue; Marzyeh Ghassemi; Tom J. Pollard

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Organ retrieval and collection of health information for donation: The ORCHID dataset

Scientific Data

IF6.9

2026-01-13

OAAI

Hammaad Adam; Tom Pollard; Vinith Suriyakumar; Benjamin Moody; Jan Niklas Adams; Jennifer Erickson; Greg Segal; Matthew Wadsworth; Ashia Wilson; Marzyeh Ghassemi

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Personalizing prostate cancer education for patients using an EHR-Integrated LLM agent

npj Digital Medicine

IF15.1

2025-12-18

OAAI

Yuexing Hao; Jason Holmes; Mark R. Waddle; Brian J. Davis; Nathan Y. Yu; Kristin S. Vickers; Heather Preston; Drew Margolin; Corinna E. Löckenhoff; Aditya Vashistha; Saleh Kalantari; Marzyeh Ghassemi; Wei Liu

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Redefining druggable targets with artificial intelligence

Nature Biotechnology

IF41.7

2025-08-19

PREAI

Karen Akinsanya; Mohammed AlQuraishi; Ann Boija; John Chodera; Anna Cichońska; Marzyeh Ghassemi; Martha Head; Wengong Jin; Warren A. Kibbe; Nevan Krogan; Michael V. LeVine; John Moult; Lynda Stuart; Georgia Tourassi; James Zou; Regina Barzilay; Olivier Elemento

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Large language model integrations in cancer decision-making: a systematic review and meta-analysis

npj Digital Medicine

IF15.1

2025-07-17

OAAI

Yuexing Hao; Zhiwen Qiu; Jason Holmes; Corinna E. Löckenhoff; Wei Liu; Marzyeh Ghassemi; Saleh Kalantari

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Machine learning used to study risk factors for chronic diseases: A scoping review

Canadian Journal of Public Health

IF0

2025-06-11

OAAI

Mahek Shergill; Steve Durant; Sharon Birdi; Roxana Rabet; Carolyn Ziegler; Shehzad Ali; David Buckeridge; Marzyeh Ghassemi; Jennifer Gibson; Ava John-Baptiste; Jillian Macklin; Melissa McCradden; Kwame McKenzie; Parisa Naraei; Akwasi Owusu-Bempah; Laura C. Rosella; James Shaw; Ross Upshur; Sharmistha Mishra; Andrew D. Pinto

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Computational challenges arising in algorithmic fairness and health equity with generative AI

NATURE COMPUTATIONAL SCIENCE

IF18.3

2025-05-16

PREAI

Suriyakumar, Vinith M.; Zink, Anna; Hightower, Maia; Ghassemi, Marzyeh; Beaulieu-Jones, Brett

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Bias in machine learning applications to address non-communicable diseases at a population-level: a scoping review

BMC PUBLIC HEALTH

IF3.6

2024-12-28

OAAI

Birdi, Sharon; Rabet, Roxana; Durant, Steve; Patel, Atushi; Vosoughi, Tina; Shergill, Mahek; Costanian, Christy; Ziegler, Carolyn P.; Ali, Shehzad; Buckeridge, David; Ghassemi, Marzyeh; Gibson, Jennifer; John-Baptiste, Ava; Macklin, Jillian; Mccradden, Melissa; Mckenzie, Kwame; Mishra, Sharmistha; Naraei, Parisa; Owusu-Bempah, Akwasi; Rosella, Laura; Shaw, James; Upshur, Ross; Pinto, Andrew D.

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Using labels to limit AI misuse in health

NATURE COMPUTATIONAL SCIENCE

IF18.3

2024-09-24

PREAI

Nsoesie, Elaine O.; Ghassemi, Marzyeh

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Limiting bias in AI models for improved and equitable cancer care

NATURE REVIEWS CANCER

IF66.8

2024-08-27

PREAI

Ghassemi, Marzyeh; Gusev, Alexander

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The limits of fair medical imaging AI in real-world generalization

NATURE MEDICINE

IF50

2024-06-28

OAAI

Yang, Yuzhe; Zhang, Haoran; Gichoya, Judy W.; Katabi, Dina; Ghassemi, Marzyeh

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TRIPOD plus AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

BMJ-BRITISH MEDICAL JOURNAL

IF42.7

2024-04-16

103

OAAI

Collins, Gary S.; Moons, Karel G. M.; Dhiman, Paula; Riley, Richard; Beam, Andrew L.; Van Calster, Ben; Ghassemi, Marzyeh; Liu, Xiaoxuan; Reitsma, Johannes B.; van Smeden, Maarten; Boulesteix, Anne-Laure; Camaradou, Jennifer Catherine; Celi, Leo Anthony; Denaxas, Spiros; Denniston, Alastair K.; Glocker, Ben; Golub, Robert M.; Harvey, Hugh; Heinze, Georg; Hoffman, Michael M.; Kengne, Andre Pascal; Lam, Emily; Lee, Naomi; Loder, Elizabeth W.; Maier-Hein, Lena; Mateen, Bilal A.; McCradden, Melissa; Oakden-Rayner, Lauren; Ordish, Johan; Parnell, Richard; Rose, Sherri; Singh, Karandeep; Wynants, Laure; Logullo, Patricia

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Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

PROCEEDINGS OF THE ACM ON INTERACTIVE MOBILE WEARABLE AND UBIQUITOUS TECHNOLOGIES-IMWUT

IF4.5

2024-03-06

OAAI

Xu, Xuhai; Yao, Bingsheng; Dong, Yuanzhe; Gabriel, Saadia; Yu, Hong; Hendler, James; Ghassemi, Marzyeh; Dey, Anind K.; Wang, Dakuo

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Optimizing warfarin dosing for patients with atrial fibrillation using machine learning

SCIENTIFIC REPORTS

IF3.9

2024-02-24

OAAI

Petch, Jeremy; Nelson, Walter; Wu, Mary; Ghassemi, Marzyeh; Benz, Alexander; Fatemi, Mehdi; Di, Shuang; Carnicelli, Anthony; Granger, Christopher; Giugliano, Robert; Hong, Hwanhee; Patel, Manesh; Wallentin, Lars; Eikelboom, John; Connolly, Stuart J.

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Phenome- and genome-wide analyses of retinal optical coherence tomography images identify links between ocular and systemic health

SCIENCE TRANSLATIONAL MEDICINE

IF14.6

2024-01-24

PREAI

Zekavat, Seyedeh Maryam; Jorshery, Saman Doroodgar; Rauscher, Franziska G.; Horn, Katrin; Sekimitsu, Sayuri; Koyama, Satoshi; Nguyen, Trang T.; Costanzo, Maria C.; Jang, Dongkeun; Burtt, Noel P.; Kuehnapfel, Andreas; Shweikh, Yusrah; Ye, Yixuan; Raghu, Vineet; Zhao, Hongyu; Ghassemi, Marzyeh; Elze, Tobias; Segre, Ayellet V.; Wiggs, Janey L.; Del Priore, Lucian; Scholz, Markus; Wang, Jay C.; Natarajan, Pradeep; Zebardast, Nazlee

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Dissecting the heterogeneity of in the wild stress from multimodal sensor data

NPJ DIGITAL MEDICINE

IF15.1

2023-12-20

OAAI

Nagaraj, Sujay; Goodday, Sarah; Hartvigsen, Thomas; Boch, Adrien; Garg, Kopal; Gowda, Sindhu; Foschini, Luca; Ghassemi, Marzyeh; Friend, Stephen; Goldenberg, Anna

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The value of standards for health datasets in artificial intelligence-based applications

NATURE MEDICINE

IF50

2023-10-26

OAAI

Arora, Anmol; Alderman, Joseph E.; Palmer, Joanne; Ganapathi, Shaswath; Laws, Elinor; Mccradden, Melissa D.; Oakden-Rayner, Lauren; Pfohl, Stephen R.; Ghassemi, Marzyeh; Mckay, Francis; Treanor, Darren; Rostamzadeh, Negar; Mateen, Bilal; Gath, Jacqui; Adebajo, Adewole O.; Kuku, Stephanie; Matin, Rubeta; Heller, Katherine; Sapey, Elizabeth; Sebire, Neil J.; Cole-Lewis, Heather; Calvert, Melanie; Denniston, Alastair; Liu, Xiaoxuan

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Machine Learning-Based Early Warning Systems for Acute Care Utilization During Systemic Therapy for Cancer

JOURNAL OF THE NATIONAL COMPREHENSIVE CANCER NETWORK

IF16.4

2023-10-01

OAAI

Grant, Robert C.; He, Jiang Chen; Khan, Ferhana; Liu, Ning; Podolsky, Sho; Kaliwal, Yosuf; Powis, Melanie; Notta, Faiyaz; Chan, Kelvin K. W.; Ghassemi, Marzyeh; Gallinger, Steven; Krzyzanowska, Monika K.

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Research Directions