Leaderboards/Artificial Intelligence in Healthcare and Education

Artificial Intelligence in Healthcare and Education

Last updated July 15, 2026

Rising Stars

Fresh ink, massive impact

Researchers

1
Tiffany H. Kung
Stanford Medicine
2
Chris Stokel-Walker
Newcastle upon Tyne Hospital
3
Peter Lee
Microsoft (United States)
4
Shiva Maleki Varnosfaderani
Wayne State University
5
Weixin Liang
Stanford University
6
Junaid Bajwa
University of British Columbia
7
Paul Hager
University Hospital Ulm
8
Sajan B Patel
University of Oxford
9
Jianyang Deng
University of Macau
10
Yejin Bang
Hong Kong University of Science and Technology

Papers

1
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Bioengineering|2024
770 cit.
2
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Nature Medicine|2024
570 cit.
3
Can Large Language Models Provide Useful Feedback on Research Papers? A Large-Scale Empirical Analysis
NEJM AI|2024
166 cit.
4
Quantifying large language model usage in scientific papers
Nature Human Behaviour|2025
35 cit.
5
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
Unknown Journal|2024
24 cit.
6
Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI
Nature Machine Intelligence|2024
16 cit.
7
HalluLens: LLM Hallucination Benchmark
Unknown Journal|2025
16 cit.
8
AI driven psychosis and suicide are on the rise, but what happens if we turn the chatbots off?
BMJ|2025
14 cit.
9
Publication in IEEE Journal of Biomedical and Health Informatics (2024) [10 citations, W4400352052]
IEEE Journal of Biomedical and Health Informatics|2024
10 cit.
10
The “ambient scribe” tools listening to and summarising your doctor-patient consultations
BMJ|2025
10 cit.

Emerging Leaders

Drafting the new consensus

Researchers

1
Franziska Gouverneur
Carl von Ossietzky Universität Oldenburg
2
Vivek Natarajan
Google DeepMind (United Kingdom)
3
Morgan Cheatham
Boston Children's Hospital
4
James Maningo
SeaWorld Entertainment
5
Lorie De Leon
Unknown
6
Arielle Medenilla
Unknown
7
Maria Madriaga
Unknown
8
Rimel Aggabao
Unknown
9
Camille Elepaño
Unknown
10
Giezel Diaz-Candido
Unknown

Papers

1
Large language models encode clinical knowledge
Nature|2023
3.2k cit.
2
Toward expert-level medical question answering with large language models
Nature Medicine|2025
725 cit.
3
Towards Generalist Biomedical AI
NEJM AI|2024
353 cit.
4
Towards conversational diagnostic artificial intelligence
Nature|2025
246 cit.
5
Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging
Nature Biomedical Engineering|2023
229 cit.
6
Towards accurate differential diagnosis with large language models
Nature|2025
173 cit.

Current Senior Leaders

Wrote the book, still writing it

Researchers

1
Francisco Herrera
Universidad de Granada
2
Javier Del Ser
Basque Center for Applied Mathematics
3
Mohammed Berrada
Sidi Mohamed Ben Abdellah University
4
Luciano Floridi
Data Power Decisions (United States)
5
Gjergji Kasneci
Technical University of Munich
6
Ryan Wright
University of Virginia
7
Victor Tseng
Deep Space Industries (United States)
8
Ezekiel Emanuel
University of Pennsylvania
9
Alan Karthikesalingam
Google (United States)
10
Su‐In Lee
University of Washington

Papers

1
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Information Fusion|2019
9k cit.
2
From local explanations to global understanding with explainable AI for trees
Nature Machine Intelligence|2020
8.9k cit.
3
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
IEEE Access|2018
5.8k cit.
4
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
Swarm and Evolutionary Computation|2011
5.4k cit.
5
ChatGPT for good? On opportunities and challenges of large language models for education
Learning and Individual Differences|2023
5.1k cit.
6
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
International Journal of Information Management|2023
3.7k cit.
7
Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models
PLOS Digital Health|2023
3.6k cit.
8
AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations
Minds and Machines|2018
3.5k cit.
9
Predicting the Future — Big Data, Machine Learning, and Clinical Medicine
New England Journal of Medicine|2016
3.5k cit.
10
Fair Allocation of Scarce Medical Resources in the Time of Covid-19
New England Journal of Medicine|2020
3.2k cit.

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