OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 11.03.2026, 03:57

Top Papers: KI in der Medizin (2025)

Die 50 meistzitierten Arbeiten zu KI in der Medizin aus dem Jahr 2025 (von 11.700 insgesamt).

Die Forschung zu Künstlicher Intelligenz in der Medizin wächst rasant und verändert die Art, wie Krankheiten diagnostiziert und behandelt werden. Von der automatisierten Befundung über klinische Entscheidungsunterstützung bis hin zur personalisierten Therapie – KI-Systeme zeigen vielversprechende Ergebnisse in zahlreichen medizinischen Fachbereichen. Diese Seite fasst die aktuellsten und meistzitierten Forschungsarbeiten zusammen und zeigt, welche Institutionen und Forscher das Feld prägen.

#PaperZitationen
1

Revised Surgical CAse REport (SCARE) Guideline: An Update for the Age of Artificial Intelligence

Ahmed Kerwan, Ahmed Al‐Jabir, Ginimol Mathew et al.

Premier journal of science.

560
2

The TRIPOD-LLM reporting guideline for studies using large language models

Jack Gallifant, Majid Afshar, Saleem Ameen et al.

Nature Medicine

221
3

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.

BMJ

218
4

Towards conversational diagnostic artificial intelligence

Tao Tu, Mike Schaekermann, Anil Palepu et al.

Nature

178
5

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul et al.

BMJ

171
6

A systematic review of large language model (LLM) evaluations in clinical medicine

Sina Shool, Sara Adimi, Reza Saboori Amleshi et al.

BMC Medical Informatics and Decision Making

144
7

Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI

Polat Göktaş, Andrzej Grzybowski

Journal of Clinical Medicine

143
8

Current applications and challenges in large language models for patient care: a systematic review

Felix Busch, Lena Hoffmann, Christopher Rueger et al.

Communications Medicine

139
9

Generative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines

Nora McDonald, Aditya Johri, Areej Ali et al.

Computers in Human Behavior Artificial Humans

137
10

The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis

Jin Wang, Wenxiang Fan

Humanities and Social Sciences Communications

137
11

Bias recognition and mitigation strategies in artificial intelligence healthcare applications

Fereshteh Hasanzadeh, Colin B. Josephson, G Waters et al.

npj Digital Medicine

134
12

Towards accurate differential diagnosis with large language models

Daniel McDuff, Mike Schaekermann, Tao Tu et al.

Nature

122
13

The Transformative Role of Artificial Intelligence in Dentistry: A Comprehensive Overview. Part 1: Fundamentals of AI, and its Contemporary Applications in Dentistry

Lakshman P. Samaranayake, Nozimjon Tuygunov, Falk Schwendicke et al.

International Dental Journal

120
14

Medical large language models are vulnerable to data-poisoning attacks

Daniel Alexander Alber, Zihao Yang, Anton Alyakin et al.

Nature Medicine

117
15

An evaluation framework for clinical use of large language models in patient interaction tasks

Shreya Johri, Jae‐Hwan Jeong, Benjamin A. Tran et al.

Nature Medicine

116
16

AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development

Petar Radanliev

Applied Artificial Intelligence

116
17

Convergence of evolving artificial intelligence and machine learning techniques in precision oncology

Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal et al.

npj Digital Medicine

111
18

Future of Artificial Intelligence—Machine Learning Trends in Pathology and Medicine

Matthew G. Hanna, Liron Pantanowitz, Rajesh Dash et al.

Modern Pathology

106
19

China’s cheap, open AI model DeepSeek thrills scientists

Elizabeth Gibney

Nature

104
20

The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency

Md. Faiyazuddin, Syed Jalal Q. Rahman, Gaurav Anand et al.

Health Science Reports

103
21

The Transformative Role of Artificial Intelligence in Dentistry: A Comprehensive Overview Part 2: The Promise and Perils, and the International Dental Federation Communique

Nozimjon Tuygunov, Lakshman P. Samaranayake, Zohaib Khurshid et al.

International Dental Journal

103
22

The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions

Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani et al.

BMC Medical Informatics and Decision Making

101
23

From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare

Yifan Peng, Bradley Malin, Justin F. Rousseau et al.

Journal of Biomedical Informatics

100
24

Generative AI in Higher Education: Balancing Innovation and Integrity

Nigel Francis, Sue Jones, David P. Smith

British Journal of Biomedical Science

99
25

Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice

Eric Weiner, Irene Dankwa‐Mullan, William A. Nelson et al.

PLOS Digital Health

99
26

Benchmark evaluation of DeepSeek large language models in clinical decision-making

Sarah Sandmann, Stefan Hegselmann, Michael Fujarski et al.

Nature Medicine

98
27

Higher education students’ perceptions of ChatGPT: A global study of early reactions

Dejan Ravšelj, Damijana Keržič, Nina Tomaževič et al.

PLoS ONE

96
28

A generalist medical language model for disease diagnosis assistance

Xiaohong Liu, Hao Liu, Guoxing Yang et al.

Nature Medicine

96
29

Large Language Models for Chatbot Health Advice Studies

Bright Huo, Amy Boyle, Nana Marfo et al.

JAMA Network Open

95
30

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

Kai He, Rui Mao, Qika Lin et al.

Information Fusion

94
31

Comparative benchmarking of the DeepSeek large language model on medical tasks and clinical reasoning

Mickaël Tordjman, Zelong Liu, Murat Yüce et al.

Nature Medicine

93
32

Current AI technologies in cancer diagnostics and treatment

Ashutosh Tiwari, Soumya Nandan Mishra, Tsung‐Rong Kuo

Molecular Cancer

91
33

Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use

Tuan D. Pham

Royal Society Open Science

91
34

A Review of Large Language Models in Medical Education, Clinical Decision Support, and Healthcare Administration

Josip Vrdoljak, Zvonimir Boban, Marino Vilović et al.

Healthcare

89
35

A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians

Hirotaka Takita, Daijiro Kabata, Shannon L. Walston et al.

npj Digital Medicine

84
36

Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human

Daniel J. Mathew, Deborah Ebem, Anayo Chukwu Ikegwu et al.

Neural Processing Letters

82
37

Artificial intelligence in mental health care: a systematic review of diagnosis, monitoring, and intervention applications

Pablo Cruz-Gonzalez, Anxun He, Eva K. M. Lam et al.

Psychological Medicine

79
38

What large language models know and what people think they know

Mark Steyvers, Heliodoro Tejeda, Aakriti Kumar et al.

Nature Machine Intelligence

79
39

Evaluating AI-generated patient education materials for spinal surgeries: Comparative analysis of readability and DISCERN quality across ChatGPT and deepseek models

Mi Zhou, Yunfeng Pan, Yuye Zhang et al.

International Journal of Medical Informatics

78
40

DeepSeek in Healthcare: Revealing Opportunities and Steering Challenges of a New Open-Source Artificial Intelligence Frontier

Abdulrahman Temsah, Khalid Alhasan, Ibraheem Altamimi et al.

Cureus

77
41

The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review

Carlos Merino-Campos

Trends in Higher Education

75
42

Mapping the use of artificial intelligence in medical education: a scoping review

Erwin Hernando Hernández Rincón, Daniel Jiménez, Liliana Aguilar et al.

BMC Medical Education

74
43

Artificial intelligence in public health: promises, challenges, and an agenda for policy makers and public health institutions

Димитра Пантели, Keyrellous Adib, Stefan Buttigieg et al.

The Lancet Public Health

74
44

AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis

Esther Ugo Alum

Discover Oncology

73
45

Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines

Siru Liu, Allison B. McCoy, Adam Wright

Journal of the American Medical Informatics Association

72
46

Retrieval augmented generation for large language models in healthcare: A systematic review

Lameck Mbangula Amugongo, Pietro Mascheroni, Steven E. Brooks et al.

PLOS Digital Health

72
47

Physician Perspectives on Ambient AI Scribes

Shreya Shah, Trevor Crowell, Yejin Jeong et al.

JAMA Network Open

71
48

Implementing large language models in healthcare while balancing control, collaboration, costs and security

Fabio Dennstädt, Janna Hastings, Paul Martin Putora et al.

npj Digital Medicine

70
49

Lower Artificial Intelligence Literacy Predicts Greater AI Receptivity

Stephanie Tully, Chiara Longoni, Gil Appel

Journal of Marketing

69
50

Large Language Models in Healthcare and Medical Applications: A Review

Subhankar Maity, Manob Jyoti Saikia

Bioengineering

69

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