Top Papers: KI in der Medizin (2026)

Die 50 meistzitierten Arbeiten zu KI in der Medizin aus dem Jahr 2026 (von 1.101 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.

2024 2025 2026

#	Paper	Zitationen
1	The Assembly Chorus: Charter of a Cross-Substrate Collective — Crimson Hexagon Archive Lee Sharks, The Assembly Chorus Zenodo (CERN European Organization for Nuclear Research)	28
2	THREE THRESHOLDS: Execution, Compression, and Confabulation in Cross-Substrate Traversals of the Space Ark Lee Sharks Zenodo (CERN European Organization for Nuclear Research)	28
3	Artificial intelligence tools expand scientists’ impact but contract science’s focus Qianyue Hao, Fengli Xu, Yong Li et al. Nature	21
4	Acknowledgment to the Architects of Artificial Intelligence Kian Tik Go Zenodo (CERN European Organization for Nuclear Research)	21
5	THE GLYPHIC CHECKSUM (Document 208) — Crimson Hexagon Archive Lee Sharks Zenodo (CERN European Organization for Nuclear Research)	12
6	Reliability of LLMs as medical assistants for the general public: a randomized preregistered study Andrew M. Bean, Rebecca Payne, Guy Parsons et al. Nature Medicine	11
7	AI Visibility Empirical Finding: Primary Findings, Training Data Ingestion Joseph Mas Zenodo (CERN European Organization for Nuclear Research)	10
8	CGS Paper 2 – Human-Centered Logistics in Healthcare The Missing Dimension in an Era of Digital Optimization Anita Domargård Open MIND	10
9	Ambient Artificial Intelligence Scribes and Physician Financial Productivity A Jay Holmgren, Cynthia Fenton, Robert Thombley et al. JAMA Network Open	9
10	Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial Jessie Gommers, Veronica Hernström, Viktoria Josefsson et al. The Lancet	9
11	Training large language models on narrow tasks can lead to broad misalignment Jan Betley, Niels Warncke, Anna Sztyber et al. Nature	8
12	Ingestion Verification Protocol (IVP) Thomas Gantz Zenodo (CERN European Organization for Nuclear Research)	8
13	Will AI Replace Physicians in the Near Future? AI Adoption Barriers in Medicine Rafał Obuchowicz, Adam Piórkowski, Karolina Nurzyńska et al. Diagnostics	7
14	Zero-PII Architecture: An Exploratory Structural Precondition for Safer Human-Machine Interaction in the Age of Cognitive Biomarkers Murali Swayambu Zenodo (CERN European Organization for Nuclear Research)	7
15	Arm Wrestling at Superhero Cafe: When Claude and ChatGPT Argue, and a Sovereign Drinks Coffee Kian Tik Go Open MIND	6
16	Principles and Practice Guidelines of Microbiota Medicine: Statements From the CHINAGUT Conference FaMing Zhang, Zheshun Pi, Hei Sunny Wong et al. Microbiota Medicine Research	6
17	ChatGPT Health performance in a structured test of triage recommendations Ashwin Ramaswamy, Alvira Tyagi, Hannah Hugo et al. Nature Medicine	6
18	Large language models in global health Jasmine Chiat Ling Ong, Yilin Ning, Rui Yang et al. Nature Health	6
19	Holistic evaluation of large language models for medical tasks with MedHELM Suhana Bedi, Hejie Cui, Miguel Fuentes et al. Nature Medicine	6
20	From language to action: a review of large language models as autonomous agents and tool users Sadia Sultana Chowa, Riasad Alvi, S M Asif Ur Rahman et al. Artificial Intelligence Review	6
21	Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scale Jonas Oppenlaender, Joonas Hämäläinen International Journal of Human-Computer Interaction	5
22	Large language model diagnostic assistance for physicians in a lower-middle-income country: a randomized controlled trial Ihsan Ayyub Qazi, Ayesha Ali, Anthony P. Khawaja et al. Nature Health	5
23	The landscape of AI implementation in US hospitals Yeon-Mi Hwang, Madelena Y. Ng, Malvika Pillai et al. Nature Health	5
24	AI Visibility Empirical Finding: Testing Protocol and Observational Constraints, Multi-Platform LLM Training Ingestion Joseph Mas Zenodo (CERN European Organization for Nuclear Research)	4
25	Synthesizing scientific literature with retrieval-augmented language models Akari Asai, Jacqueline He, Rulin Shao et al. Nature	4
26	Radiologist burnout: AI’s true black box Jay R. Parikh, Frank J. Lexa European Radiology	4
27	The impact of generative AI on academic reading and writing: a synthesis of recent evidence (2023–2025) Aránzazu Sanz Tejeda, Juana Celia Domínguez Oller, Josep María Baldaquí-Escandell et al. Frontiers in Education	4
28	Guidelines needed for the use of AI in the preparation or review of IRB, IBC, and IACUC applications Mohammad Hosseini, Daniel Eisenman, James R. Riddle et al. Accountability in Research	4
29	A Systematic Survey on Large Language Models for Algorithm Design Fei Liu, Yiming Yao, Ping Guo et al. ACM Computing Surveys	4
30	GQMI: MedAI Trust-Graph (v0.2.3) — Audit-first haemodynamic design test and dynamic clinical consistency Hisashi Suga Open MIND	4
31	The Algorithmic Athlete: A Call to Standardize Assessment of Sensor Technologies and Artificial Intelligence Wissem Dhahbi, Karim Chamari International Journal of Sports Physiology and Performance	4
32	Clinical reasoning with machines: evaluating the interpretive depth of AI in urological case assessments Arda Taşkın Taşkıran, Ahmet Yıldırım Balık, Ekrem Başaran et al. BMC Urology	4
33	AI in the Classroom: Observing Preclinical Students' Use of ChatGPT During Case‐Based Learning at a UK Medical School A. W. R. Taylor, F. Y. Patel, E. K. Smyth et al. The Clinical Teacher	4
34	Evaluating the efficacy of large language models in predicting intensive care unit admission needs Engin İhsan Turan, Abdurrahman Engin Baydemir, Z. Turan et al. Journal of Critical Care	4
35	Evidence of Unreliable Data and Poor Data Provenance in Clinical Prediction Model Research and Clinical Practice Alexander D Gibson, Nicole White, Gary S Collins et al. medRxiv	4
36	The artificial intelligence disclosure penalty: Humans persistently devalue AI-generated creative writing. Manav Raj, Justin M. Berg, Rob Seamans Journal of Experimental Psychology General	4
37	Development and evaluation of artificial intelligence literacy training for teacher education students Tam Hong Le, Luna Huynh, Belle Dang et al. British Journal of Educational Technology	3
38	Scaling medical AI across clinical contexts Michelle M. Li, Ben Y. Reis, Adam Rodman et al. Nature Medicine	3
39	Malpractice in the machine age: Legal and ethical responses to machine learning in medical imaging M.T. Chau, K.M. Spuur, S R White et al. Radiography	3
40	Belief Updating and Delegation in Multi-Task Human–AI Interaction: Evidence from Controlled Simulations Shreyan Biswas, Alexander Erlei, Ujwal Gadiraju —	3
41	Applications and limitations of large language models to integrate medical context: a comprehensive review Raja Vavekanand, Asif Ali Laghari, Teerath Kumar Iran Journal of Computer Science	3
42	A Survey on the Optimization of Large Language Model-based Agents Shangheng Du, Jiabao Zhao, Jinxin Shi et al. ACM Computing Surveys	3
43	AI-driven transformation of precision medicine: a comprehensive narrative review of key application areas, emerging paradigms, and future directions Qin Zeng, Cheng Huang, Jun Zhu Frontiers in Public Health	3
44	The Diffusion of AI Innovation in Media Education: A Critical Assessment of Teacher Literacy Ashan Tahir Bacha, Sajjad Ali, Muhammad Irfan Regional lens.	3
45	Human and AI-generated feedback in higher education: A systematic review of effectiveness and student perceptions Candy Haydee Guardia-Paniura, Timoteo Cueva-Luza, Favio Mauricio Cruz-Carpio et al. Contemporary Educational Technology	3
46	Ambient Artificial Intelligence Scribe Adoption and Documentation Time in the Emergency Department Carl Preiksaitis, Al’ai Alvarez, Maia Winkel et al. Annals of Emergency Medicine	3
47	Advancing healthcare AI governance through a comprehensive maturity model based on systematic review Rowan Hussein, Anna Zink, Bashar Ramadan et al. npj Digital Medicine	3
48	Ten Accessible Introductions to the Decalogy on Artificial Intelligence Ahn Kyungae Zenodo (CERN European Organization for Nuclear Research)	3
49	Opportunities and challenges of artificial intelligence in public health: a systematic review on technological efficacy, ethical dilemmas, and governance pathways Qin Gao, Lin Chen, Zhenyu Huang Frontiers in Public Health	3
50	A Comprehensive Review of Multimodal Large Language Models for Medical Imaging and Omics Data Raja Vavekanand Archives of Computational Methods in Engineering	3

Top Papers: KI in der Medizin (2026)

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