Top Papers: Machine Learning im Gesundheitswesen (2026)

Die 50 meistzitierten Arbeiten zu Machine Learning im Gesundheitswesen aus dem Jahr 2026 (von 89 insgesamt).

Machine Learning verändert das Gesundheitswesen grundlegend – von der Vorhersage von Krankheitsverläufen über die Optimierung von Behandlungspfaden bis hin zur Identifikation von Risikogruppen. Klinische Daten, Laborwerte und Bildgebungsdaten werden mit ML-Modellen ausgewertet, um Entscheidungen schneller und fundierter zu treffen. Diese Seite bündelt die relevantesten Studien und ihre Ergebnisse.

2024 2025 2026

#	Paper	Zitationen
1	Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment Lingling Xu, Haoran Xie, S. Joe Qin et al. IEEE Transactions on Pattern Analysis and Machine Intelligence	8
2	Latent Matters: Learning Deep State-Space Models Alexej Klushyn, Richard Kurle, Maximilian Soelch et al. arXiv (Cornell University)	8
3	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
4	Holistic evaluation of large language models for medical tasks with MedHELM Suhana Bedi, Hejie Cui, Miguel Fuentes et al. Nature Medicine	4
5	The .causal Format: Deterministic Inference for AI-Assisted Hypothesis Amplification David Tom Foss Zenodo (CERN European Organization for Nuclear Research)	3
6	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
7	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
8	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
9	A Language for Dynamic Medicine Why Disease as Process Requires a Different Way of Speaking Anita Domargård Zenodo (CERN European Organization for Nuclear Research)	2
10	Redefining Elderly Care With Agentic AI: Challenges and Opportunities Ruhul Amin Khalil, Kashif Ahmad, Hazrat Ali IEEE Open Journal of the Computer Society	2
11	The Health-Wealth Gradient in Labor Markets: Integrating Health, Insurance, and Social Metrics to Predict Employment Density Dingyuan Liu, Qiannan Shen, Jiaci Liu —	2
12	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
13	Leveraging hierarchy-aware diffusion model and knowledge-enhanced contrastive learning for recommendation Kaibei Li, Yihao Zhang, Qinyang He et al. Knowledge and Information Systems	2
14	Efficient Temporal Adjacent Transformer for remaining useful life prognostics Jiangyan Zhu, Jun Ma, Jiande Wu et al. Engineering Applications of Artificial Intelligence	2
15	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
16	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
17	Transforming wearable data into personal health insights using large language model agents Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei et al. Nature Communications	2
18	Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications Long Cui, Ying Liu, Chunping Ouyang et al. Big Data Mining and Analytics	2
19	HealthContradict: Evaluating biomedical knowledge conflicts in language models Boya Zhang, Alban Bornet, Rui Yang et al. npj Digital Medicine	1
20	An autonomous agentic workflow for clinical detection of cognitive concerns using large language models Jiazi Tian, Pedram Fard, Cameron Cagan et al. npj Digital Medicine	1
21	Scaling medical AI across clinical contexts Michelle M. Li, Ben Y. Reis, Adam Rodman et al. Nature Medicine	1
22	Improving Relational Deep Learning via Language Model-based Graph Augmentation Kunyoung Kim, HwiSeung Son, Mye Sohn —	1
23	XAI4Obesity: Explainable AI for Obesity Risk Prediction Mauparna Nandan, Jyoti Sekhar Banerjee, Arpita Chakraborty et al. Lecture notes in networks and systems	1
24	Application of digital technology in medical practice Lihua Gu, Lu Chen, Congsha Ma Frontiers in Public Health	1
25	ShinyEvents: harmonizing longitudinal data for real-world survival estimation Alyssa Obermayer, Joshua Davis, Divya Priyanka Talada et al. npj Precision Oncology	1
26	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	1
27	A method for heart sound classification using sample augmentation and INDANet Jinpo Wang, Zijian Qiao, Yudong Yao et al. Review of Scientific Instruments	1
28	CancerLLM: a large language model in cancer domain Mingchen Li, Zaifu Zhan, Jiatan Huang et al. npj Digital Medicine	1
29	Diffusion-Based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion Guanglin Niu, Xiaowei Zhang Lecture notes in computer science	1
30	Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis Alexander Partin, Priyanka Vasanthakumari, Xuan Nguyen et al. Briefings in Bioinformatics	1
31	Causal Post-Hoc XAI: Categorisation and Systematic Literature Review Anna Rodum Bjøru, Helge Langseth, Inga Strümke et al. —	1
32	A novel hybrid metaheuristic for optimizing deep CNN hyperparameters to enhance heart disease prediction on a comprehensive merged dataset Timur Lale, Gökhan Yüksek, Rıdvan Fırat Çınar Cluster Computing	1
33	Using ChatGPT for Data Science Analyses Ozan Evkaya, Miguel de Carvalho Harvard Data Science Review	1
34	COMPASS-GH is a consensus roadmap for defining standards for safe, accurate and equitable AI in general health queries Jiazhen Pan, Paul Hager, Moritz Schlager et al. Nature Health	1
35	WaveMem-SHAPNet: A Transparent Deep Learning Approach to Early Diagnosis of Diabetic Retinopathy Matthew Kirubakaran, V. Vijayarajan SN Computer Science	1
36	Identifying Key Predictors of Appropriate Discharge Destinations for Older Inpatients in Acute Care: Scoping Review Christoph Leinert, Marina Fotteler, Thomas D. Kocar et al. Interactive Journal of Medical Research	1
37	Transformer-based relation extraction and concept normalization using an annotated clinical trials corpus Leonardo Campillos-Llanos, Ana Valverde-Mateos, Adrián Capllonch-Carrión et al. Scientific Data	1
38	A comprehensive survey on imbalanced data learning Xinyi Gao, Dongting Xie, Yihang Zhang et al. Frontiers of Computer Science	1
39	Tool-wielding language model-based agent offers conversational exploration of clinical tabular data Andrew Yang, Joshua Woo, Rongli Zhang et al. npj Artificial Intelligence	1
40	Clustering of Temporal and Visual Data: Recent Advancements Priyanka Mudgal Data	1
41	Utilizing Machine Learning Techniques for Computer-Aided COVID-19 Screening Based on Clinical Data Honglun Xu, Andrews T. Anum, Michael Pokojovy et al. COVID	1
42	Advancing the modernization of traditional Chinese medicine through artificial intelligence and multimodal data integration Pengfei Guo, Mengmeng Jiang, Shaowu Hu et al. Chinese Medicine	1
43	Digital-Intelligent Precision Health Management: An Integrative Framework for Chronic Disease Prevention and Control Yu Ma, Dafang Chen, Jin Xie Biomedicines	1
44	Machine Learning for <i>De Novo</i> Molecular Generation: A Comprehensive Review Yingjun Chen, Weiwei Xue ACS Chemical Neuroscience	1
45	Artificial Intelligence in Medical Diagnostics: Foundations, Clinical Applications, and Future Directions Dorota Bartusik-Aebisher, Daniel Roshan Justin Raj, Ewa Kaznowska Applied Sciences	1
46	AI, Automation and the Future Role of the Clinical Biochemist: from Analyzer Custodian to Clinical Knowledge Partner Prasenjit Mitra, Shruti Gupta, Praveen Sharma Indian Journal of Clinical Biochemistry	1
47	Toward Global Large Language Models in Medicine Rui Yang, Huitao Li, Weihao Xuan et al. arXiv (Cornell University)	1
48	Subtyping Alzheimer’s disease and Parkinson’s disease using longitudinal electronic health records Jie Lian, Guyu Zeng, Ben Omega Petrazzini et al. Nature Aging	1
49	Assessing the Accuracy of Artificial Intelligence-Generated Clinical Summaries From Ambulatory Glaucoma Subspecialty Clinical Encounters Yapei Zhang, Min Shi, In Young Chung et al. Translational Vision Science & Technology	1
50	Enhancing chronic disease management: hybrid graph networks and explainable AI for intelligent diagnosis Muhammad Aamir, Yang Ke Yu, Nomica Choudhry et al. Scientific Reports	1

Top Papers: Machine Learning im Gesundheitswesen (2026)

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