Author details

Full Name

Marzyeh Ghassemi

Affiliation

3Vector Institute

ORCID

Career Start Year

2014

Papers

H Index

Expertise

CM4AI Collaborator

PMID	Paper Title	Journal Title	Published Year
36641812	Nailfold capillaroscopy and deep learning in diabetes.	J Diabetes	2023
37856226	Machine Learning-Based Early Warning Systems for Acute Care Utilization During Systemic Therapy for Cancer.	J Natl Compr Canc Netw	2023
37884627	The value of standards for health datasets in artificial intelligence-based applications.	Nat Med	2023
37646680	Considering Biased Data as Informative Artifacts in AI-Assisted Health Care.	N Engl J Med	2023
37985904	Presentation matters for AI-generated clinical advice.	Nat Hum Behav	2023
38036860	ChatGPT one year on: who is using it, how and why?	Nature	2023
37292770	Insights into human health from phenome- and genome-wide analyses of UK Biobank retinal optical coherence tomography phenotypes.	medRxiv	2023
36949957	<i>TP53-</i>mediated clonal hematopoiesis confers increased risk for incident atherosclerotic disease.	Nat Cardiovasc Res	2023
37151895	Developing and Validating a Prediction Model For Death or Critical Illness in Hospitalized Adults, an Opportunity for Human-Computer Collaboration.	Crit Care Explor	2023
36963907	Machine learning COVID-19 detection from wearables.	Lancet Digit Health	2023
37163590	Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data.	Sci Adv	2023
37328465	Out with AI, in with the psychiatrist: a preference for human-derived clinical decision support in depression care.	Transl Psychiatry	2023
36697450	Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays.	Sci Rep	2023
35228563	A comparison of approaches to improve worst-case predictive model performance over patient subpopulations.	Sci Rep	2022
35710992	Reply to: 'Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms' and 'Confounding factors need to be accounted for in assessing bias by machine learning algorithms'.	Nat Med	2022
35436210	Correction: An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers Study.	JMIR Form Res	2022
35396183	The medical algorithmic audit.	Lancet Digit Health	2022
35365510	Predicting hospitalisations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort study.	BMJ Open	2022
35568690	AI recognition of patient race in medical imaging: a modelling study.	Lancet Digit Health	2022
35459793	Machine learning and health need better values.	NPJ Digit Med	2022
35391772	Automatic Localization and Brand Detection of Cervical Spine Hardware on Radiographs Using Weakly Supervised Machine Learning.	Radiol Artif Intell	2022
35688612	Artificial intelligence in gastroenterology and hepatology: how to advance clinical practice while ensuring health equity.	Gut	2022
35354895	Better Understanding of the Metamorphosis of Pregnancy (BUMP): protocol for a digital feasibility study in women from preconception to postpartum.	NPJ Digit Med	2022
36589162	Effect of clinical decision support systems on emergency medicine physicians' decision-making: A pilot scenario-based simulation study.	Front Pediatr	2022
36452427	Decision-centered design of a clinical decision support system for acute management of pediatric congenital heart disease.	Front Digit Health	2022
36414774	Mitigating the impact of biased artificial intelligence in emergency decision-making.	Commun Med (Lond)	2022
36163296	Tackling bias in AI health datasets through the STANDING Together initiative.	Nat Med	2022
35101870	Outcomes in patients with and without disability admitted to hospital with COVID-19: a retrospective cohort study.	CMAJ	2022
35079713	In medicine, how do we machine learn anything real?	Patterns (N Y)	2022
33449134	Five principles for the intelligent use of AI in medical imaging.	Intensive Care Med	2021
33910923	Equity in essence: a call for operationalising fairness in machine learning for healthcare.	BMJ Health Care Inform	2021
33568436	Characteristics and outcomes of hospital admissions for COVID-19 and influenza in the Toronto area.	CMAJ	2021
33762434	Reproducibility in machine learning for health research: Still a ways to go.	Sci Transl Med	2021
33608629	Do as AI say: susceptibility in deployment of clinical decision-aids.	NPJ Digit Med	2021
35213323	Implementing machine learning in medicine.	CMAJ	2021
34893776	Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations.	Nat Med	2021
34465179	Probabilistic Machine Learning for Healthcare.	Annu Rev Biomed Data Sci	2021
34635854	A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI.	Nat Med	2021
34488840	Correction to: The role of machine learning in clinical research: transforming the future of evidence generation.	Trials	2021
34462316	Problems in the deployment of machine-learned models in health care.	CMAJ	2021
34399832	The role of machine learning in clinical research: transforming the future of evidence generation.	Trials	2021
34396058	Ethical Machine Learning in Healthcare.	Annu Rev Biomed Data Sci	2021
34711379	The false hope of current approaches to explainable artificial intelligence in health care.	Lancet Digit Health	2021
32477638	A Review of Challenges and Opportunities in Machine Learning for Health.	AMIA Jt Summits Transl Sci Proc	2020
31904799	Challenges to the Reproducibility of Machine Learning Models in Health Care.	JAMA	2020
31932779	Treating health disparities with artificial intelligence.	Nat Med	2020
33234535	Ensuring machine learning for healthcare works for all.	BMJ Health Care Inform	2020
32864270	Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning.	Cureus	2020
32477659	Sharing is Caring: Exploring machine learning-enabled methods for regional medical imaging exchange using procedure metadata.	AMIA Jt Summits Transl Sci Proc	2020
30645625	The PLOS ONE collection on machine learning in health and biomedicine: Towards open code and open data.	PLoS One	2019

1 - 50 of 73

James T Teo

Guy's and St Thomas' NHS Foundation Trust

Career Start Year 2017

Number of shared co-authors 5

Matthew C Lenert

Vanderbilt University Medical Center

Career Start Year 2017

Number of shared co-authors 0

Benjamin Shickel

University of Florida

Career Start Year 2016

Number of shared co-authors 1

Brett K Beaulieu-Jones

University of Chicago

Career Start Year 2016

Number of shared co-authors 4

Joseph Futoma

Harvard University, USA Duke University

Career Start Year 2015

Number of shared co-authors 5

Samuel G Finlayson

Harvard Medical School

Career Start Year 2014

Number of shared co-authors 6

Suresh Balu

Duke Institute for Health Innovation, Duke University

Career Start Year 2014

Number of shared co-authors 3

Mohammad M Ghassemi

Michigan State University

Career Start Year 2014

Number of shared co-authors 10

Christopher V Cosgriff

Perelman School of Medicine at the University of Pennsylvania

Career Start Year 2013

Number of shared co-authors 4

Daniel Fabbri

Vanderbilt University Medical Center

Career Start Year 2013

Number of shared co-authors 0

Nathan C Hurley

Texas A&M University

Career Start Year 2013

Number of shared co-authors 0

Riccardo Miotto

Icahn School of Medicine at Mount Sinai

Career Start Year 2013

Number of shared co-authors 1

Benjamin S Glicksberg

Hasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount Sinai

Career Start Year 2013

Number of shared co-authors 4

Jonathan H Chen

Stanford University School of Medicine

Career Start Year 2013

Number of shared co-authors 2

Jeremy C Weiss

Carnegie Mellon University

Career Start Year 2012

Number of shared co-authors 0

Gary E Weissman

Perelman School of Medicine, University of Pennsylvania

Career Start Year 2012

Number of shared co-authors 3

Vignesh Subbian

College of Engineering, University of Arizona

Career Start Year 2012

Number of shared co-authors 1

Jie Xu

University of Florida Gainesville Florida USA.

Career Start Year 2011

Number of shared co-authors 0

Mihaela van der Schaar

University of Cambridge

Career Start Year 2006

Number of shared co-authors 0

Adler Perotte

Columbia University

Career Start Year 2005

Number of shared co-authors 1

No??mie Elhadad

Columbia University

Career Start Year 2005

Number of shared co-authors 0

Yindalon Aphinyanaphongs

New York University

Career Start Year 2003

Number of shared co-authors 0

Shyam Visweswaran

University of Pittsburgh

Career Start Year 2003

Number of shared co-authors 1

Colin G Walsh

Vanderbilt University, Vanderbilt University Medical Center

Career Start Year 2001

Number of shared co-authors 1

Svetha Venkatesh

Applied Artificial Intelligence Institute (A2I2), Deakin University

Career Start Year 2000

Number of shared co-authors 0

Thomas A Lasko

Vanderbilt University

Career Start Year 1999

Number of shared co-authors 0

Alex A T Bui

University of California Los Angeles

Career Start Year 1998

Number of shared co-authors 1

Lucila Ohno-Machado

Escola de Administracao de Empresas - FGV, Stanford University, University of California San Diego, University of Sao Paulo, Yale School of Medicine

Career Start Year 1993

Number of shared co-authors 2

George Hripcsak

Columbia University

Career Start Year 1988

Number of shared co-authors 1

John H Holmes

University of Pennsylvania Perelman School of Medicine

Career Start Year 1985

Number of shared co-authors 1

row(s) 1 - 30 of 30

Leo Anthony Celi

Harvard T.H. Chan School of Public Health, MIT

Co-authored papers 10

John Guttag

Massachusetts Institute of Technology

Co-authored papers 7

Peter Szolovits

Massachusetts Institute of Technology

Co-authored papers 7

Tristan Naumann

Massachusetts Institute of Technology

Co-authored papers 6

Finale Doshi-Velez

Harvard University

Co-authored papers 5

Mengling Feng

Saw Swee Hock School of Public Health, National University of Singapore

Co-authored papers 5

Tom J Pollard

Massachusetts Institute of Technology, Scientific Data - Nature, Software Sustainability Institute, University College London, University of Law - London Bloomsbury Centre

Co-authored papers 4

David J Stone

University of Virginia School of Medicine, USA Center for Advanced Medical Analytics

Co-authored papers 4

Michael Fralick

University of Toronto

Co-authored papers 4

Muhammad Mamdani

Institute of Health Policy, University of Toronto

Co-authored papers 4

Melissa D McCradden

University of Adelaide