Top Papers: KI in der Medizin (2026)

Die 50 meistzitierten Arbeiten zu KI in der Medizin aus dem Jahr 2026 (von 491 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	THREE THRESHOLDS: Execution, Compression, and Confabulation in Cross-Substrate Traversals of the Space Ark Lee Sharks Zenodo (CERN European Organization for Nuclear Research)	28
2	Acknowledgment to the Architects of Artificial Intelligence Kian Tik Go Zenodo (CERN European Organization for Nuclear Research)	17
3	The Assembly Chorus: Charter of a Cross-Substrate Collective — Crimson Hexagon Archive Lee Sharks, The Assembly Chorus Zenodo (CERN European Organization for Nuclear Research)	17
4	Artificial intelligence tools expand scientists’ impact but contract science’s focus Qun Hao, Fengli Xu, Yong Li et al. Nature	15
5	THE GLYPHIC CHECKSUM (Document 208) — Crimson Hexagon Archive Lee Sharks Zenodo (CERN European Organization for Nuclear Research)	12
6	AI Visibility Empirical Finding: Primary Findings, Training Data Ingestion Joseph Mas Zenodo (CERN European Organization for Nuclear Research)	10
7	CGS Paper 2 – Human-Centered Logistics in Healthcare The Missing Dimension in an Era of Digital Optimization Anita Domargård Zenodo (CERN European Organization for Nuclear Research)	10
8	Training large language models on narrow tasks can lead to broad misalignment Jan Betley, Niels Warncke, Anna Sztyber et al. Nature	6
9	Will AI Replace Physicians in the Near Future? AI Adoption Barriers in Medicine Rafał Obuchowicz, Adam Piórkowski, Karolina Nurzyńska et al. Diagnostics	5
10	Holistic evaluation of large language models for medical tasks with MedHELM Suhana Bedi, Hejie Cui, Miguel Fuentes et al. Nature Medicine	5
11	AI Visibility Empirical Finding: Testing Protocol and Observational Constraints, Multi-Platform LLM Training Ingestion Joseph Mas Zenodo (CERN European Organization for Nuclear Research)	4
12	Synthesizing scientific literature with retrieval-augmented language models Akari Asai, Jacqueline He, Rulin Shao et al. Nature	4
13	Radiologist burnout: AI’s true black box Jay R. Parikh, Frank J. Lexa European Radiology	4
14	GQMI: MedAI Trust-Graph (v0.2.3) — Audit-first haemodynamic design test and dynamic clinical consistency Hisashi Suga Zenodo (CERN European Organization for Nuclear Research)	4
15	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	4
16	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	4
17	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	4
18	Ten Accessible Introductions to the Decalogy on Artificial Intelligence Ahn Kyungae Zenodo (CERN European Organization for Nuclear Research)	3
19	A Systematic Survey on Large Language Models for Algorithm Design Fei Liu, Yiming Yao, Ping Guo et al. ACM Computing Surveys	3
20	Principles and Practice Guidelines of Microbiota Medicine: Statements From the CHINAGUT Conference FaMing Zhang, Zheshun Pi, Hei Sunny Wong et al. Microbiota Medicine Research	3
21	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	3
22	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	3
23	Large language models in global health Jasmine Chiat Ling Ong, Yilin Ning, Rui Yang et al. Nature Health	3
24	Exploring the utility of ChatGPT as a learning tool in osteopathic medical education Patrick Martin, Neal Pate, Imaan Benmerzouga International journal of osteopathic medicine	3
25	Lifelong Learning of Large Language Model based Agents: A Roadmap Junhao Zheng, Chengming Shi, Xidi Cai et al. IEEE Transactions on Pattern Analysis and Machine Intelligence	3
26	Author Disclosure of Use of AI in Submissions to 13 JAMA Network Journals Roy H. Perlis, John Z. Ayanian, Jacob Kendall-Taylor et al. JAMA	3
27	A systematic literature review on transparency and interpretability of AI models in healthcare: taxonomies, tools, techniques, datasets, open research challenges, and future trends Wasswa Shafik, Ahmad Fathan Hidayatullah, Kassim Kalinaki et al. Health and Technology	2
28	Causal Update Cosmology VI:Why Causal Update Dynamics Generically Produce Exactly Three Regimes TI Zenodo (CERN European Organization for Nuclear Research)	2
29	Drastic changes in collaboration networks and publication patterns in research using the CDC WONDER dataset Danny Maupin, Tulsi Suchak, Robert Hurling et al. —	2
30	PROBE-RESULT-005: Selective Term Liquidation Event The Surgical Removal of "Semantic Liquidation" from Google AI Overview — Crimson Hexagon Archive Lee Sharks, Rex Fraction Zenodo (CERN European Organization for Nuclear Research)	2
31	Scaling medical AI across clinical contexts Michelle M. Li, Ben Y. Reis, Adam Rodman et al. Nature Medicine	2
32	Beyond overconfidence: Embedding curiosity and humility for ethical medical AI Sebastián Andrés Cajas Ordóñez, Rowell Castro, Leo Anthony Celi et al. PLOS Digital Health	2
33	Training Layer Literature: Executive Summary — A Genre for the Age of Machine Reading — Crimson Hexagon Archive Lee Sharks Zenodo (CERN European Organization for Nuclear Research)	2
34	Artificial Intelligence–Assisted Error Detection in Complex Clinical Documentation: Leveraging Large Language Models to Enhance Patient Safety in Oncology Peter May, Sina Nokodian, Christoph Nuernbergk et al. JCO Clinical Cancer Informatics	2
35	The Unseen Culling Osei Harper Zenodo (CERN European Organization for Nuclear Research)	2
36	Robust radiomics: a review of guidelines for radiomics in medical imaging Michele Avanzo, P. Soda, Marco Bertolini et al. Frontiers in Radiology	2
37	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	2
38	Redefining Elderly Care With Agentic AI: Challenges and Opportunities Ruhul Amin Khalil, Kashif Ahmad, Hazrat Ali IEEE Open Journal of the Computer Society	2
39	Graph atomic cluster expansion for foundational machine learning interatomic potentials Yury Lysogorskiy, Anton Bochkarev, Ralf Drautz npj Computational Materials	2
40	Artificial Intelligence and the Essence of Humanity: Strategic Frameworks for Utilizing Technology and Preserving Values in an Automated Era Simeon Adedokun, Isiak Adeyemo, Dorcas Adedokun et al. Journal of Science Innovation and Technology Research	2
41	Making AI Evaluation Deployment Relevant Through Context Specification Matthew Holmes, Thiago Lacerda, Reva Schwartz arXiv (Cornell University)	2
42	Effect of ChatGPT-Assisted Reflective Reasoning on Guideline-Concordant Procedural Decision-Making Among Early-Career Interventional Radiologists Yunus Yaşar, Mustafa Demir, Ali Canturk et al. Academic Radiology	2
43	Of the people, by the algorithm: how AI transforms the role of democratic representatives? Yuval Rymon AI & Society	2
44	Arm Wrestling at Superhero Cafe: When Claude and ChatGPT Argue, and a Sovereign Drinks Coffee Kian Tik Go Zenodo (CERN European Organization for Nuclear Research)	2
45	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	2
46	Large Language Models for Supporting Clear Writing and Detecting Spin in Randomized Controlled Trials in Oncology: Comparative Analysis of GPT Models and Prompts Carole Koechli, Fabio Dennstädt, Christina Schröder et al. JMIR Cancer	2
47	Multi‐model Artificial Intelligence Evaluation in Sudden Sensorineural Hearing Loss Aynur Aliyeva, Antiga Muradova, Ramil Hashimli et al. Otolaryngology	2
48	From AI Tools to Clinical Stability Integrating System Dynamics into AI Implementation Frameworks (SALIENT × URM) Anita Domargård Zenodo (CERN European Organization for Nuclear Research)	2
49	Self-Disclosed Use of AI in Research Submissions to BMJ Journals Isamme AlFayyad, Maurice P. Zeegers, L.M. Bouter et al. JAMA	2
50	Artificial Intelligence in Academic Publishing: A Comparative Analysis of Author and Reviewer Guidelines Across Major Obstetrics and Gynecology Journals Murat Erden, Andrea Chiappetti, Rosanne M. Kho Journal of Minimally Invasive Gynecology	2

Top Papers: KI in der Medizin (2026)

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