Top Papers: KI in der Medizin (2024)

Die 50 meistzitierten Arbeiten zu KI in der Medizin aus dem Jahr 2024 (von 16.330 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.

2022 2023 2024 2025

#	Paper	Zitationen
1	A Survey on Evaluation of Large Language Models Yupeng Chang, Xu Wang, Jindong Wang et al. ACM Transactions on Intelligent Systems and Technology	2.141
2	TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al. BMJ	1.417
3	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)	1.011
4	The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review Chunpeng Zhai, Santoso Wibowo, Lily D. Li Smart Learning Environments	709
5	Ethical and regulatory challenges of AI technologies in healthcare: A narrative review Ciro Mennella, Umberto Maniscalco, Giuseppe De Pietro et al. Heliyon	662
6	The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century Shiva Maleki Varnosfaderani, Mohamad Forouzanfar Bioengineering	649
7	GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions Gokul Yenduri, M. Ramalingam, G. Chemmalar Selvi et al. IEEE Access	469
8	AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications Adib Bin Rashid, MD Ashfakul Karim Kausik Hybrid Advances	466
9	A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME Ahmed Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo et al. Advanced Intelligent Systems	458
10	Digital twins for health: a scoping review Evangelia Katsoulakis, Qi Wang, Huanmei Wu et al. npj Digital Medicine	443
11	Evaluation and mitigation of the limitations of large language models in clinical decision-making Paul Hager, Friederike Jungmann, Robbie Holland et al. Nature Medicine	432
12	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond Jingfeng Yang, Hongye Jin, Ruixiang Tang et al. ACM Transactions on Knowledge Discovery from Data	431
13	A meta systematic review of artificial intelligence in higher education: a call for increased ethics, collaboration, and rigour Melissa Bond, Hassan Khosravi, Maarten de Laat et al. International Journal of Educational Technology in Higher Education	420
14	Balancing Privacy and Progress: A Review of Privacy Challenges, Systemic Oversight, and Patient Perceptions in AI-Driven Healthcare S. Williamson, Victor R. Prybutok Applied Sciences	419
15	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	391
16	Using artificial intelligence in academic writing and research: An essential productivity tool Mohamed Khalifa, Mona Albadawy Computer Methods and Programs in Biomedicine Update	365
17	Generative AI in healthcare: an implementation science informed translational path on application, integration and governance Sandeep Reddy Implementation Science	358
18	AI in diagnostic imaging: Revolutionising accuracy and efficiency Mohamed Khalifa, Mona Albadawy Computer Methods and Programs in Biomedicine Update	352
19	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	347
20	Metrics reloaded: recommendations for image analysis validation Lena Maier‐Hein, Annika Reinke, Patrick Godau et al. Nature Methods	338
21	Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives Molly Bekbolatova, Jonathan Mayer, Chi Wei Ong et al. Healthcare	326
22	Towards Generalist Biomedical AI Tao Tu, Shekoofeh Azizi, Danny Driess et al. NEJM AI	323
23	Testing and Evaluation of Health Care Applications of Large Language Models Suhana Bedi, Yutong Liu, Lucy Orr-Ewing et al. JAMA	315
24	A review of Explainable Artificial Intelligence in healthcare Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Çifçi et al. Computers & Electrical Engineering	311
25	A scoping review of artificial intelligence in medical education: BEME Guide No. 84 Morris Gordon, Michelle Daniel, Aderonke Ajiboye et al. Medical Teacher	308
26	TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods BMJ	303
27	Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives Abdullahi Yusuf, Nasrin Pervin, ‪Marcos Román-González‬ International Journal of Educational Technology in Higher Education	302
28	ChatGPT in healthcare: A taxonomy and systematic review Jianning Li, Amin Dada, Behrus Puladi et al. Computer Methods and Programs in Biomedicine	298
29	Ambient Artificial Intelligence Scribes to Alleviate the Burden of Clinical Documentation Aaron A. Tierney, Gregg Gayre, Brian Hoberman et al. NEJM Catalyst	294
30	Bias in medical AI: Implications for clinical decision-making James M. Cross, Michael A. Choma, John A. Onofrey PLOS Digital Health	294
31	Almanac — Retrieval-Augmented Language Models for Clinical Medicine Cyril Zakka, Rohan Shad, Akash Chaurasia et al. NEJM AI	289
32	Prompt engineering in consistency and reliability with the evidence-based guideline for LLMs Wang Li, Xi Chen, Xiangwen Deng et al. npj Digital Medicine	286
33	Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students Muhammad Abbas, Farooq Ahmed Jam, Tariq Iqbal Khan International Journal of Educational Technology in Higher Education	283
34	Ethical and Bias Considerations in Artificial Intelligence/Machine Learning Matthew G. Hanna, Liron Pantanowitz, Brian Jackson et al. Modern Pathology	282
35	Large Language Models in Healthcare and Medical Domain: A Review Zabir Al Nazi, Wei Peng Informatics	279
36	Prompt Engineering in Large Language Models Ggaliwango Marvin, Nakayiza Hellen, Daudi Jjingo et al. Algorithms for intelligent systems	276
37	Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations Pouyan Esmaeilzadeh Artificial Intelligence in Medicine	276
38	The application of large language models in medicine: A scoping review Xiangbin Meng, Xiangyu Yan, Kuo Zhang et al. iScience	273
39	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	269
40	Large Language Models in Medicine: The Potentials and Pitfalls Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei et al. Annals of Internal Medicine	268
41	Chatbots and Large Language Models in Radiology: A Practical Primer for Clinical and Research Applications Rajesh Bhayana Radiology	267
42	Generative artificial intelligence: a systematic review and applications Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar et al. Multimedia Tools and Applications	266
43	Generative AI in Medical Practice: In-Depth Exploration of Privacy and Security Challenges Yan Chen, Pouyan Esmaeilzadeh Journal of Medical Internet Research	256
44	How Is ChatGPT’s Behavior Changing Over Time? Lingjiao Chen, Matei Zaharia, James Zou Harvard Data Science Review	252
45	Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance Yizhou Fan, Luzhen Tang, Huixiao Le et al. British Journal of Educational Technology	244
46	The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs) Joschka Haltaufderheide, Robert Ranisch npj Digital Medicine	244
47	Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update Ali S. Tejani, Michail E. Klontzas, Anthony A. Gatti et al. Radiology Artificial Intelligence	243
48	Promises and challenges of generative artificial intelligence for human learning Lixiang Yan, Samuel Greiff, Ziwen Teuber et al. Nature Human Behaviour	243
49	The STROCSS 2024 guideline: strengthening the reporting of cohort, cross-sectional, and case–control studies in surgery Rasha Rashid, Catrin Sohrabi, Ahmed Kerwan et al. International Journal of Surgery	239
50	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	237

Top Papers: KI in der Medizin (2024)

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