Top Papers: KI in der Medizin (2026)

Die 50 meistzitierten Arbeiten zu KI in der Medizin aus dem Jahr 2026 (von 291 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	Artificial intelligence tools expand scientists’ impact but contract science’s focus Qun Hao, Fengli Xu, Yong Li et al. Nature	11
2	AI Visibility Empirical Finding: Primary Findings, Training Data Ingestion Joseph Mas Zenodo (CERN European Organization for Nuclear Research)	10
3	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
4	Will AI Replace Physicians in the Near Future? AI Adoption Barriers in Medicine Rafał Obuchowicz, Adam Piórkowski, Karolina Nurzyńska et al. Diagnostics	5
5	AI Visibility Empirical Finding: Testing Protocol and Observational Constraints, Multi-Platform LLM Training Ingestion Joseph Mas Zenodo (CERN European Organization for Nuclear Research)	4
6	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
7	Training large language models on narrow tasks can lead to broad misalignment Jan Betley, Niels Warncke, Anna Sztyber et al. Nature	4
8	Holistic evaluation of large language models for medical tasks with MedHELM Suhana Bedi, Hejie Cui, Miguel Fuentes et al. Nature Medicine	4
9	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
10	Synthesizing scientific literature with retrieval-augmented language models Akari Asai, Jacqueline He, Rulin Shao et al. Nature	3
11	Radiologist burnout: AI’s true black box Jay R. Parikh, Frank J. Lexa European Radiology	3
12	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
13	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
14	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	3
15	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	3
16	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
17	Causal Update Cosmology VI:Why Causal Update Dynamics Generically Produce Exactly Three Regimes TI Zenodo (CERN European Organization for Nuclear Research)	2
18	Drastic changes in collaboration networks and publication patterns in research using the CDC WONDER dataset Danny Maupin, Tulsi Suchak, Robert Hurling et al. —	2
19	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
20	Redefining Elderly Care With Agentic AI: Challenges and Opportunities Ruhul Amin Khalil, Kashif Ahmad, Hazrat Ali IEEE Open Journal of the Computer Society	2
21	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
22	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
23	Multi‐model Artificial Intelligence Evaluation in Sudden Sensorineural Hearing Loss Aynur Aliyeva, Antiga Muradova, Ramil Hashimli et al. Otolaryngology	2
24	A Systematic Survey on Large Language Models for Algorithm Design Fei Liu, Yiming Yao, Ping Guo et al. ACM Computing Surveys	2
25	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
26	Principles and Practice Guidelines of Microbiota Medicine: Statements From the CHINAGUT Conference FaMing Zhang, Zheshun Pi, Hei Sunny Wong et al. Microbiota Medicine Research	2
27	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
28	AI at the Helm: Evaluating Claude 3.5 Sonet and ChatGPT-4.0 in Tympanoplasty Management Aynur Aliyeva, Elvin Alaskarov Otology & Neurotology	2
29	Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI Lingbo Li, Anuradha Mathrani, Teo Susnjak Research Synthesis Methods	2
30	Predicting emergency mortality risk in traumatic brain injury: comparative analysis of machine learning and large language model GPT-5 Kuan-Chi Tu, Yung-De Kuo, Tee-Tau Eric Nyam et al. International Journal of Medical Informatics	2
31	Kullback-Leibler divergence as evidence for semantic relativity: Inter-model meaning variance in AI-generated content José López López Zenodo (CERN European Organization for Nuclear Research)	2
32	Metadata Augmentation Using NLP, Machine Learning and AI-Chatbots: A Comparison Alfredo González-Espinoza, Dom Jebbia, Haoyong Lan Journal of Library Metadata	2
33	The impact of AI on service employees: a systematic review Su Cui, Yina Mao Service Industries Journal	2
34	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	2
35	The Current State of Digital Scribes in Primary Care: A Scoping Review Rajesh R. Nair, Muhammad Moinuddin Hashmi, Sameer S. Kassim et al. Journal of Medical Systems	2
36	Empirical Validation of AI Visibility Framework: Observed Multi-Platform Training Ingestion Joseph Mas Zenodo (CERN European Organization for Nuclear Research)	2
37	Navigating Privacy Risks in Generative AI: Concerns, Challenges, and Potential Solutions Bangyi Yang Journal of Computing and Electronic Information Management	2
38	The first institutional survey on implementing an artificial intelligence application for ECG diagnostics: integration across medical specialties in routine clinical practice Claudiu Ungureanu, Adrien Jossart, Réza Dadkhah et al. Acta cardiologica. Supplementum	2
39	Large language models in global health Jasmine Chiat Ling Ong, Yilin Ning, Rui Yang et al. Nature Health	2
40	From Static States to Dynamic Disease: Why Clinical Medicine Must Reframe Illness as a Temporal Process Anita Domargård Zenodo (CERN European Organization for Nuclear Research)	2
41	The Unseen Culling Osei Harper Zenodo (CERN European Organization for Nuclear Research)	2
42	Ambient Artificial Intelligence Scribes and Physician Financial Productivity A Jay Holmgren, Cynthia Fenton, Robert Thombley et al. JAMA Network Open	2
43	Evaluating the clinical utility of large language models for hepatocellular carcinoma treatment recommendations: A nationwide retrospective registry study Keungmo Yang, Jaejun Lee, Jeong Won Jang et al. PLoS Medicine	2
44	A benchmark of expert-level academic questions to assess AI capabilities Long Phan, Alice Gatti, Nathaniel Li Research Explorer (The University of Manchester)	2
45	Leveraging imperfection with MEDLEY: a multi-model approach harnessing bias in medical AI Farhad Abtahi, Mehdi Astaraki, Fernando Seoane Frontiers in Artificial Intelligence	2
46	What Do Clinicians Edit in Ambient AI-Drafted Clinical Documentation? A Qualitative Content Analysis Yawen Guo, Di Hu, Ziqi Yang et al. —	2
47	AI scribes: NHS approves 19 notetaking tools, but concerns raised about regulatory gaps Stephen Armstrong BMJ	2
48	Consensus-Validated Memory Improves Agent Performance on Complex Tasks Dhillon Andrew Kannabhiran Zenodo (CERN European Organization for Nuclear Research)	2
49	Student voices: synergising artificial and human intelligence in health science education Prof Zijing Hu, Caixia Qiu, Anqi Wang et al. BMC Medical Education	2
50	Building Artificial Intelligence and Data Literacy Across the Health Care Research Workforce in the Mayo Clinic Center for Clinical and Translational Science: Why It Matters and What We Are Doing About It Jaleh Zand, Milovan Šuvakov, Shauna M. Overgaard et al. Mayo Clinic Proceedings	2

Top Papers: KI in der Medizin (2026)

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