Leaderboards/Clinical Reasoning and Diagnostic Skills

Clinical Reasoning and Diagnostic Skills

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Zana Buçinca
Harvard University Press
2
Ethan Goh
Stanford University
3
Susanne Gaube
University College London
4
Marcel Binz
Max Planck Institute for Biological Cybernetics
5
Ekaterina Jussupow
Technische Universität Darmstadt
6
Aaron A. Tierney
Kaiser Permanente
7
Dana Brin
Tel Aviv University
8
Thomas L. Rodziewicz
Michigan State University
9
Tao Tu
Google DeepMind (United Kingdom)
10
Alexander Viktor Eriksen
Odense University Hospital

Rising Stars Papers

1
Large Language Model Influence on Diagnostic Reasoning
JAMA Network Open|2024
541 cit.
2
Towards Generalist Biomedical AI
NEJM AI|2024
353 cit.
3
Ambient Artificial Intelligence Scribes to Alleviate the Burden of Clinical Documentation
NEJM Catalyst|2024
349 cit.
4
Towards conversational diagnostic artificial intelligence
Nature|2025
246 cit.
5
GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial
Nature Medicine|2025
134 cit.
6
Ambient Artificial Intelligence Scribes: Learnings after 1 Year and over 2.5 Million Uses
NEJM Catalyst|2025
97 cit.
7
Assessing GPT-4 multimodal performance in radiological image analysis
European Radiology|2024
76 cit.
8
An Integrative Perspective on Algorithm Aversion and Appreciation in Decision-Making
MIS Quarterly|2024
72 cit.
9
A foundation model to predict and capture human cognition
Nature|2025
72 cit.
10
How should the advancement of large language models affect the practice of science?
Proceedings of the National Academy of Sciences|2025
51 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Saurabh Johri
Babylon Health
2
Adam Rodman
Google (United States)
3
Marzyeh Ghassemi
Vector Institute
4
Dana Siegal
The Medical Foundation
5
Joshua Gawlitza
Weihenstephan-Triesdorf University of Applied Sciences
6
Kristine Lee
University of California San Francisco Medical Center
7
Eyal Klang
Mount Sinai Health System
8
Josh Zimmerman
University of Utah
9
Jodie Blackadder-Weinstein
Medical Defence Union
10
Himel Mondal
All India Institute of Medical Sciences, Deoghar

Emerging Leaders Papers

1
Accuracy of a Generative Artificial Intelligence Model in a Complex Diagnostic Challenge
JAMA|2023
424 cit.
2
Ambient Artificial Intelligence Scribes to Alleviate the Burden of Clinical Documentation
NEJM Catalyst|2024
349 cit.
3
Comparing ChatGPT and GPT-4 performance in USMLE soft skill assessments
Scientific Reports|2023
321 cit.
4
The limits of fair medical imaging AI in real-world generalization
Nature Medicine|2024
214 cit.
5
Applicability of ChatGPT in Assisting to Solve Higher Order Problems in Pathology
Cureus|2023
195 cit.
6
Burden of serious harms from diagnostic error in the USA
BMJ Quality & Safety|2023
194 cit.
7
Clinical Reasoning of a Generative Artificial Intelligence Model Compared With Physicians
JAMA Internal Medicine|2024
148 cit.
8
GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial
Nature Medicine|2025
134 cit.
9
The Capability of ChatGPT in Predicting and Explaining Common Drug-Drug Interactions
Cureus|2023
132 cit.
10
AI and Medical Education — A 21st-Century Pandora’s Box
New England Journal of Medicine|2023
122 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Karel G.M. Moons
University Medical Center Utrecht
2
Cees van der Vleuten
Maastricht University
3
Henny P. A. Boshuizen
Open University of the Netherlands
4
Kenneth A. Harris
Western University
5
Henk G. Schmidt
Erasmus MC
6
Olle ten Cate
University Medical Center Utrecht
7
Hardeep Singh
Michael E. DeBakey VA Medical Center
8
Geoffrey R. Norman
McMaster University
9
Gary Klein
The University of Texas at Arlington
10
Gordon J. G. Asmundson
University of Regina

Current Senior Leaders Papers

1
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration
Annals of Internal Medicine|2015
5.2k cit.
2
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
BMJ|2015
4k cit.
3
Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement
Annals of Internal Medicine|2015
2.9k cit.
4
Competency-based medical education: theory to practice
Medical Teacher|2010
2.7k cit.
5
Conditions for intuitive expertise: A failure to disagree.
American Psychologist|2009
2.4k cit.
6
Fearing the unknown: A short version of the Intolerance of Uncertainty Scale
Journal of Anxiety Disorders|2006
2.3k cit.
7
Naturalistic Decision Making
Human Factors The Journal of the Human Factors and Ergonomics Society|2008
2.2k cit.
8
<i>Sources of Power: How People Make Decisions</i>
Leadership and Management in Engineering|2001
2.2k cit.
9
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement
BMC Medicine|2015
2k cit.
10
PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration
Annals of Internal Medicine|2018
1.6k cit.

Reagents for Clinical Reasoning and Diagnostic Skills

Citation-validated products used in this field

🔥 Trending

Gaining adoption fast

⭐ Top Rated

Best all-around

Cell Signaling TechnologyEvidence 65

Stat3 (D3Z2G) Rabbit Monoclonal Antibody (SignalFlex™ Alexa Fluor® 555 Conjugate)

#47532$458
View Evidence →

🌟 All-Time

Most validated

Cell Signaling TechnologyEvidence 67

DUSP6/MKP3 Antibody

Cited in 8 papers
#50945$317
View Evidence →
Cell Signaling TechnologyEvidence 67

Transferrin Receptor/CD71 (H68.4) Mouse Monoclonal Antibody

#46222$158,348
View Evidence →
Cell Signaling TechnologyEvidence 66

Nestin (E4O9E) Rabbit Monoclonal Antibody (BSA and Azide Free)

#73262$865
View Evidence →