Top Papers: Machine Learning im Gesundheitswesen (2026)

Die 50 meistzitierten Arbeiten zu Machine Learning im Gesundheitswesen aus dem Jahr 2026 (von 341 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	11
2	The Health-Wealth Gradient in Labor Markets: Integrating Health, Insurance, and Social Metrics to Predict Employment Density Dingyuan Liu, Qiannan Shen, Jiaci Liu Research Square	9
3	Latent Matters: Learning Deep State-Space Models Alexej Klushyn, Richard Kurle, Maximilian Soelch et al. arXiv (Cornell University)	8
4	Leveraging hierarchy-aware diffusion model and knowledge-enhanced contrastive learning for recommendation Kaibei Li, Yihao Zhang, Qinyang He et al. Knowledge and Information Systems	7
5	Holistic evaluation of large language models for medical tasks with MedHELM Suhana Bedi, Hejie Cui, Miguel Fuentes et al. Nature Medicine	6
6	Unraveling Spatio-Temporal Foundation Models via the Pipeline Lens: A Comprehensive Review Yu Fang, Hao Miao, Yuxuan Liang et al. IEEE Transactions on Knowledge and Data Engineering	5
7	Scaling medical AI across clinical contexts Michelle M. Li, Ben Y. Reis, Adam Rodman et al. Nature Medicine	5
8	A comprehensive survey on imbalanced data learning Xinyi Gao, Dongting Xie, Yihang Zhang et al. Frontiers of Computer Science	5
9	Large language model diagnostic assistance for physicians in a lower-middle-income country: a randomized controlled trial Ihsan Ayyub Qazi, Ayesha Ali, Asad Ullah Khawaja et al. Nature Health	5
10	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	4
11	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	4
12	GQMI: MedAI Trust-Graph (v0.2.3) — Audit-first haemodynamic design test and dynamic clinical consistency Hisashi Suga Open MIND	4
13	Machine Learning for <i>De Novo</i> Molecular Generation: A Comprehensive Review Yingjun Chen, Weiwei Xue ACS Chemical Neuroscience	4
14	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
15	Transforming wearable data into personal health insights using large language model agents Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei et al. Nature Communications	4
16	Artificial intelligence agents in healthcare research: A scoping review Basile Njei, Yazan A. Al-Ajlouni, Ulrick Sidney Kanmounye et al. PLoS ONE	4
17	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
18	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
19	Redefining Elderly Care With Agentic AI: Challenges and Opportunities Ruhul Amin Khalil, Kashif Ahmad, Hazrat Ali IEEE Open Journal of the Computer Society	3
20	The .causal Format: Deterministic Inference for AI-Assisted Hypothesis Amplification David Tom Foss Zenodo (CERN European Organization for Nuclear Research)	3
21	Efficient Temporal Adjacent Transformer for remaining useful life prognostics Jiangyan Zhu, Jun Ma, Jiande Wu et al. Engineering Applications of Artificial Intelligence	3
22	Advancing the modernization of traditional Chinese medicine through artificial intelligence and multimodal data integration Pengfei Guo, Mengmeng Jiang, Shaowu Hu et al. Chinese Medicine	3
23	Transforming clinical reasoning—the role of AI in supporting human cognitive limitations Colin Greengrass Frontiers in Digital Health	3
24	Multi-modal AI in precision medicine: integrating genomics, imaging, and EHR data for clinical insights Shahper N. Khan, Danishuddin, Mohd Wajid Ali Khan et al. Frontiers in Artificial Intelligence	3
25	Generative AI in Healthcare: Applications, Architecture, Implementation, and Benefits Siva Hari Naga Shashank Varagani International Journal on Advanced Computer Engineering and Communication Technology	3
26	Ensemble Transitive Bidirectional Decoupled Self-Distillation for Time-Series Classification Zhiwen Xiao, Huanlai Xing, Rong Qu et al. IEEE Transactions on Systems Man and Cybernetics Systems	3
27	A Systematic Review of Topic Modeling Techniques for Electronic Health Records Iqra Mehmood, Zoya Zahra, Sarah Iqbal et al. Healthcare	3
28	Human–large language model collaboration in clinical medicine: a systematic review and meta-analysis Guoyong Wang, K Zhang, Jiyue Jiang et al. npj Digital Medicine	3
29	Safety of a large language model-based clinical decision support system in African primary healthcare Ambrose Agweyu, Paul Mwaniki, Wilkister Musau et al. Nature Health	3
30	Comprehensive Pediatric Health Risk Stratification Using an AI-Driven Framework in Children Aged 2 to 8 Years: Design and Validation Study Zhihe Mao, Jundan Chen JMIR Medical Informatics	3
31	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
32	LLM-assisted systematic review of large language models in clinical medicine Sully F. Chen, Anton Alyakin, Andreas Seas et al. Nature Medicine	2
33	Federation Opacity and the Promise of Federated Learning in Healthcare Joshua Hatherley, Anders Søgaard, Angela Ballantyne et al. The American Journal of Bioethics	2
34	Principles to guide clinical AI readiness and move from benchmarks to real-world evaluation Tej D. Azad, Harlan M. Krumholz, Suchi Saria Nature Medicine	2
35	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
36	Structured clinical approach to enable large language models to be used for improved clinical diagnosis and explainable reasoning Muhammad Ayoub, Hai Zhao, Lifeng Li et al. Communications Medicine	2
37	A method for heart sound classification using sample augmentation and INDANet Jinpo Wang, Zijian Qiao, Yudong Yao et al. Review of Scientific Instruments	2
38	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
39	Performance of successive generative pretrained transformers (GPT) models in medical cases and board style questions Anshum Patel, Het Contractor, Hayden Heninger et al. Scientific Reports	2
40	Multimodal graph neural networks in healthcare: a review of fusion strategies across biomedical domains Maria Vaida, Ziyuan Huang Frontiers in Artificial Intelligence	2
41	Benchmarking large language models for predictive modeling in biomedical research with a focus on reproductive health Reuben D. Sarwal, Victor Tarca, Claire Dubin et al. Cell Reports Medicine	2
42	Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis Alexander Partin, Priyanka Vasanthakumari, Oleksandr Narykov et al. Briefings in Bioinformatics	2
43	AI-generated data contamination erodes pathological variability and diagnostic reliability Hongyu He, Shaowen Xiang, Y. P. Zhang et al. medRxiv	2
44	Multimodal fusion and explainability of artificial intelligence models in Alzheimer’s Disease detection Vimbi Viswan, Noushath Shaffi, E. Malathy et al. Brain Informatics	2
45	The role of agentic artificial intelligence in healthcare: a scoping review Bernardo G. Collaco, Syed Ali Haider, Srinivasagam Prabha et al. npj Digital Medicine	2
46	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
47	AI agent in healthcare: applications, evaluations, and future directions Lina Zhao, Shengrui Liu, Tangsiwei Xin et al. npj Artificial Intelligence	2
48	A Multimodal Framework for Prognostic Modelling of Mental Health Treatment and Recovery Trajectories Harold Ngabo-Woods, Larisa Dunai, Isabel Seguí Verdú et al. Applied Sciences	2
49	Retrieval augmented large language model system for comprehensive drug contraindications Byeonghun Bang, Jongsuk C. Yoon, Dong Jin Chang et al. Health Information Science and Systems	2
50	AdaptiveFedLoRA: Drift-Aware Adaptive LoRA Rank Scheduling for Federated Medical Small Language Models Yunguo Yu medRxiv	2

Top Papers: Machine Learning im Gesundheitswesen (2026)

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