Top Papers: Machine Learning im Gesundheitswesen (2024)

Die 50 meistzitierten Arbeiten zu Machine Learning im Gesundheitswesen aus dem Jahr 2024 (von 7.785 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.

2022 2023 2024 2025

#	Paper	Zitationen
1	Intelligent Clinical Documentation: Harnessing Generative AI for Patient-Centric Clinical Note Generation Anjanava Biswas, Wrick Talukdar International Journal of Innovative Science and Research Technology (IJISRT)	1.015
2	Adapted large language models can outperform medical experts in clinical text summarization Dave Van Veen, Cara Van Uden, Louis Blankemeier et al. Nature Medicine	613
3	A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME Ahmed Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo et al. Advanced Intelligent Systems	568
4	Detecting hallucinations in large language models using semantic entropy Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn et al. Nature	556
5	Evaluation and mitigation of the limitations of large language models in clinical decision-making Paul Hager, Friederike Jungmann, Robbie Holland et al. Nature Medicine	519
6	Explainability for Large Language Models: A Survey Haiyan Zhao, Hanjie Chen, Fan Yang et al. ACM Transactions on Intelligent Systems and Technology	510
7	Practical guide to <scp>SHAP</scp> analysis: Explaining supervised machine learning model predictions in drug development Ana Victoria Ponce Bobadilla, Vanessa Schmitt, Corinna S. Maier et al. Clinical and Translational Science	508
8	Evaluation of clinical prediction models (part 1): from development to external validation Gary S. Collins, Paula Dhiman, Jie Ma et al. BMJ	484
9	Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions Luca Longo, Mario Brčić, Federico Cabitza et al. Information Fusion	451
10	Enhancing mental health with Artificial Intelligence: Current trends and future prospects David B. Olawade, Ojima Z. Wada, Aderonke Odetayo et al. Journal of Medicine Surgery and Public Health	404
11	Testing and Evaluation of Health Care Applications of Large Language Models Suhana Bedi, Yutong Liu, Lucy Orr-Ewing et al. JAMA	390
12	A review of Explainable Artificial Intelligence in healthcare Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Çifçi et al. Computers & Electrical Engineering	378
13	Towards Generalist Biomedical AI Tao Tu, Shekoofeh Azizi, Danny Driess et al. NEJM AI	341
14	A multimodal generative AI copilot for human pathology Ming Y. Lu, Bowen Chen, Drew F. K. Williamson et al. Nature	337
15	TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods BMJ	331
16	The application of large language models in medicine: A scoping review Xiangbin Meng, Xiangyu Yan, Kuo Zhang et al. iScience	322
17	ChatGPT in healthcare: A taxonomy and systematic review Jianning Li, Amin Dada, Behrus Puladi et al. Computer Methods and Programs in Biomedicine	320
18	Large Language Models in Healthcare and Medical Domain: A Review Zabir Al Nazi, Wei Peng Informatics	316
19	Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection Vimbi Viswan, Noushath Shaffi, Mufti Mahmud Brain Informatics	310
20	Generative artificial intelligence: a systematic review and applications Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar et al. Multimedia Tools and Applications	309
21	Prompt Engineering in Large Language Models Ggaliwango Marvin, Nakayiza Hellen, Daudi Jjingo et al. Algorithms for intelligent systems	307
22	Large Language Models in Medicine: The Potentials and Pitfalls Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei et al. Annals of Internal Medicine	287
23	The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs) Joschka Haltaufderheide, Robert Ranisch npj Digital Medicine	282
24	Developing clinical prediction models: a step-by-step guide Orestis Efthimiou, Michael Seo, Konstantina Chalkou et al. BMJ	281
25	Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers Staphord Bengesi, Hoda El-Sayed, Md Kamruzzaman Sarker et al. IEEE Access	281
26	An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review Rosita Guido, Stefania Ferrisi, Danilo Lofaro et al. Information	278
27	PMC-LLaMA: toward building open-source language models for medicine Chaoyi Wu, Weixiong Lin, Xiaoman Zhang et al. Journal of the American Medical Informatics Association	252
28	Ethical and regulatory challenges of large language models in medicine Jasmine Chiat Ling Ong, Yin‐Hsi Chang, William Wasswa et al. The Lancet Digital Health	251
29	Evaluation of clinical prediction models (part 2): how to undertake an external validation study Richard D Riley, Lucinda Archer, Kym I E Snell et al. BMJ	246
30	Can large language models reason about medical questions? Valentin Liévin, Christoffer Hother, Andreas Geert Motzfeldt et al. Patterns	242
31	A critical assessment of using ChatGPT for extracting structured data from clinical notes Jingwei Huang, Donghan M. Yang, Ruichen Rong et al. npj Digital Medicine	228
32	FDA Perspective on the Regulation of Artificial Intelligence in Health Care and Biomedicine Haider J. Warraich, Troy Tazbaz, Robert M. Califf JAMA	227
33	Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook Rawan AlSaad, Alaa Abd‐Alrazaq, Sabri Boughorbel et al. Journal of Medical Internet Research	225
34	Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format Jonah Zaretsky, Jeong‐Min Kim, Samuel Baskharoun et al. JAMA Network Open	223
35	Illusory generalizability of clinical prediction models Adam M. Chekroud, Matt Hawrilenko, Hieronimus Loho et al. Science	223
36	Diagnostic reasoning prompts reveal the potential for large language model interpretability in medicine Thomas Savage, Ashwin Nayak, Robert Gallo et al. npj Digital Medicine	219
37	AI-Driven Clinical Decision Support Systems: An Ongoing Pursuit of Potential Malek Elhaddad, Sara Hamam Cureus	212
38	Generative AI for Transformative Healthcare: A Comprehensive Study of Emerging Models, Applications, Case Studies, and Limitations Siva Sai, Aanchal Gaur, R Vijay Sai et al. IEEE Access	211
39	Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service Sarina Aminizadeh, Arash Heidari, Mahshid Dehghan et al. Artificial Intelligence in Medicine	211
40	A Systematic Review and Meta-Analysis of Artificial Intelligence Tools in Medicine and Healthcare: Applications, Considerations, Limitations, Motivation and Challenges Hussain A. Younis, Hussain A. Younis, Taiseer Abdalla Elfadil Eisa et al. Diagnostics	209
41	Artificial intelligence in positive mental health: a narrative review Anoushka Thakkar, Ankita Gupta, Avinash De Sousa Frontiers in Digital Health	200
42	Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao et al. IEEE Access	199
43	Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications Khadijeh Moulaei, Atiye Yadegari, Mahdi Baharestani et al. International Journal of Medical Informatics	198
44	The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives Marco Cascella, Federico Semeraro, Jonathan Montomoli et al. Journal of Medical Systems	195
45	BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains Yanis Labrak, Adrien Bazoge, Emmanuel Morin et al. —	193
46	A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis Xi Xu, Jianqiang Li, Zhichao Zhu et al. Bioengineering	193
47	Synthetic data generation methods in healthcare: A review on open-source tools and methods Vasileios C. Pezoulas, Dimitrios I. Zaridis, Eugenia Mylona et al. Computational and Structural Biotechnology Journal	189
48	Matching patients to clinical trials with large language models Qiao Jin, Zifeng Wang, Charalampos S. Floudas et al. Nature Communications	187
49	Large language models in medical and healthcare fields: applications, advances, and challenges Dandan Wang, Shiqing Zhang Artificial Intelligence Review	181
50	Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks Sarah Sandmann, Sarah Riepenhausen, Lucas Plagwitz et al. Nature Communications	180

Top Papers: Machine Learning im Gesundheitswesen (2024)

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