Top Papers: KI in der Medizin (2025)

Die 50 meistzitierten Arbeiten zu KI in der Medizin aus dem Jahr 2025 (von 13.845 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.

2023 2024 2025 2026

#	Paper	Zitationen
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.	586
2	The TRIPOD-LLM reporting guideline for studies using large language models Jack Gallifant, Majid Afshar, Saleem Ameen et al. Nature Medicine	280
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	267
4	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	252
5	Towards conversational diagnostic artificial intelligence Tao Tu, Mike Schaekermann, Anil Palepu et al. Nature	204
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	188
7	Current applications and challenges in large language models for patient care: a systematic review Felix Busch, Lena Hoffmann, Christopher Rueger et al. Communications Medicine	175
8	RETRACTED ARTICLE: The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis Jin Wang, Wenxiang Fan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	174
9	Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI Polat Göktaş, Andrzej Grzybowski Journal of Clinical Medicine	170
10	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	164
11	Bias recognition and mitigation strategies in artificial intelligence healthcare applications Fereshteh Hasanzadeh, Colin B. Josephson, G Waters et al. npj Digital Medicine	159
12	Towards accurate differential diagnosis with large language models Daniel McDuff, Mike Schaekermann, Tao Tu et al. Nature	143
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	140
14	Medical large language models are vulnerable to data-poisoning attacks Daniel Alexander Alber, Zihao Yang, Anton Alyakin et al. Nature Medicine	137
15	AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development Petar Radanliev Applied Artificial Intelligence	137
16	Convergence of evolving artificial intelligence and machine learning techniques in precision oncology Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal et al. npj Digital Medicine	132
17	Benchmark evaluation of DeepSeek large language models in clinical decision-making Sarah Sandmann, Stefan Hegselmann, Michael Fujarski et al. Nature Medicine	131
18	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	131
19	Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use Tuan D. Pham Royal Society Open Science	130
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	129
21	Future of Artificial Intelligence—Machine Learning Trends in Pathology and Medicine Matthew G. Hanna, Liron Pantanowitz, Rajesh Dash et al. Modern Pathology	127
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	124
23	A generalist medical language model for disease diagnosis assistance Xiaohong Liu, Hao Liu, Guoxing Yang et al. Nature Medicine	124
24	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	123
25	Generative AI in Higher Education: Balancing Innovation and Integrity Nigel Francis, Sue Jones, David P. Smith British Journal of Biomedical Science	122
26	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	121
27	Large Language Models for Chatbot Health Advice Studies Bright Huo, Amy Boyle, Nana Marfo et al. JAMA Network Open	120
28	Higher education students’ perceptions of ChatGPT: A global study of early reactions Dejan Ravšelj, Damijana Keržič, Nina Tomaževič et al. PLoS ONE	119
29	Current AI technologies in cancer diagnostics and treatment Ashutosh Tiwari, Soumya Nandan Mishra, Tsung‐Rong Kuo Molecular Cancer	116
30	China’s cheap, open AI model DeepSeek thrills scientists Elizabeth Gibney Nature	115
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	115
32	Impact of AI and big data analytics on healthcare outcomes: An empirical study in Jordanian healthcare institutions Rand Al-Dmour, Hani Al-Dmour, Eatedal Basheer Amin et al. Digital Health	110
33	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	105
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	104
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	101
36	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	100
37	What large language models know and what people think they know Mark Steyvers, Heliodoro Tejeda, Aakriti Kumar et al. Nature Machine Intelligence	100
38	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	99
39	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	98
40	Large Language Models in Healthcare and Medical Applications: A Review Subhankar Maity, Manob Jyoti Saikia Bioengineering	95
41	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	93
42	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	92
43	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	90
44	AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis Esther Ugo Alum Discover Oncology	90
45	The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review Carlos Merino-Campos Trends in Higher Education	90
46	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	88
47	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	86
48	Investigating the higher education institutions’ guidelines and policies regarding the use of generative AI in teaching, learning, research, and administration Yunjo An, Ji Hyun Yu, Shadarra James International Journal of Educational Technology in Higher Education	85
49	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	85
50	Lower Artificial Intelligence Literacy Predicts Greater AI Receptivity Stephanie Tully, Chiara Longoni, Gil Appel Journal of Marketing	84

Top Papers: KI in der Medizin (2025)

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