Top Papers: KI in der Medizin (2022)

Die 50 meistzitierten Arbeiten zu KI in der Medizin aus dem Jahr 2022 (von 5.426 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.

2020 2021 2022 2023

#	Paper	Zitationen
1	AI in health and medicine Pranav Rajpurkar, Emma Chen, Oishi Banerjee et al. Nature Medicine	2.245
2	The Medical Segmentation Decathlon Michela Antonelli, Annika Reinke, Spyridon Bakas et al. Nature Communications	1.112
3	Explainable AI (XAI): Core Ideas, Techniques, and Solutions Rudresh Dwivedi, Devam Dave, Het Naik et al. ACM Computing Surveys	1.020
4	Multimodal biomedical AI Julián Acosta, Guido J. Falcone, Pranav Rajpurkar et al. Nature Medicine	986
5	RETRACTED ARTICLE: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda Yogesh Kumar, Apeksha Koul, Ruchi Singla et al. Journal of Ambient Intelligence and Humanized Computing	944
6	Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education Thomas K. F. Chiu, Qi Xia, Xinyan Zhou et al. Computers and Education Artificial Intelligence	878
7	ChatGPT User Experience: Implications for Education Xiaoming Zhaı SSRN Electronic Journal	833
8	Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility? Nithesh Naik, B. M. Zeeshan Hameed, Dasharathraj K Shetty et al. Frontiers in Surgery	811
9	On evaluation metrics for medical applications of artificial intelligence Steven A. Hicks, Inga Strümke, Vajira Thambawita et al. Scientific Reports	766
10	Unlocking the value of artificial intelligence in human resource management through AI capability framework Soumyadeb Chowdhury, Prasanta Kumar Dey, Sian Joel-Edgar et al. Human Resource Management Review	732
11	An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges Abid Haleem, Mohd Javaid, Ravi Pratap Singh BenchCouncil Transactions on Benchmarks Standards and Evaluations	664
12	Artificial intelligence in online higher education: A systematic review of empirical research from 2011 to 2020 Fan Ouyang, Luyi Zheng, Pengcheng Jiao Education and Information Technologies	653
13	Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022) Hui Wen Loh, Chui Ping Ooi, Silvia Seoni et al. Computer Methods and Programs in Biomedicine	642
14	Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language Models Tiffany H. Kung, Morgan Cheatham, Arielle Medenilla et al. —	615
15	Artificial intelligence for multimodal data integration in oncology Jana Lipková, Richard J. Chen, Bowen Chen et al. Cancer Cell	592
16	Significance of machine learning in healthcare: Features, pillars and applications Mohd Javaid, Abid Haleem, Ravi Pratap Singh et al. International Journal of Intelligent Networks	588
17	Trustworthy Artificial Intelligence: A Review Davinder Kaur, Süleyman Uslu, Kaley J. Rittichier et al. ACM Computing Surveys	586
18	Explainable Artificial Intelligence in education Hassan Khosravi, Simon Buckingham Shum, Guanliang Chen et al. Computers and Education Artificial Intelligence	585
19	Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare Pandiaraj Manickam, Siva Ananth Mariappan, Sindhu Monica Murugesan et al. Biosensors	558
20	Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Aarohi Srivastava, Abhinav Rastogi, Abhishek S. Rao et al. arXiv (Cornell University)	548
21	Machine learning for medical imaging: methodological failures and recommendations for the future Gaël Varoquaux, Veronika Cheplygina npj Digital Medicine	546
22	AI bot ChatGPT writes smart essays — should professors worry? Chris Stokel-Walker Nature	522
23	Open artificial intelligence platforms in nursing education: Tools for academic progress or abuse? Siobhán O’Connor, ChatGPT ChatGPT Nurse Education in Practice	522
24	Machine-Learning-Based Disease Diagnosis: A Comprehensive Review Md Manjurul Ahsan, Shahana Akter Luna, Zahed Siddique Healthcare	517
25	Artificial Intelligence (AI) Student Assistants in the Classroom: Designing Chatbots to Support Student Success Yu Chen, Scott A. Jensen, Leslie Jordan Albert et al. Information Systems Frontiers	511
26	A Review on Fairness in Machine Learning Dana Pessach, Erez Shmueli ACM Computing Surveys	505
27	Federated Learning for Healthcare: Systematic Review and Architecture Proposal Rodolfo Stoffel Antunes, Cristiano André da Costa, Arne Küderle et al. ACM Transactions on Intelligent Systems and Technology	502
28	Towards a standard for identifying and managing bias in artificial intelligence Reva Schwartz, Apostol Vassilev, Kristen Greene et al. —	474
29	Advances, challenges and opportunities in creating data for trustworthy AI Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho et al. Nature Machine Intelligence	472
30	AI recognition of patient race in medical imaging: a modelling study Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy et al. The Lancet Digital Health	470
31	Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review Anne de Hond, Artuur Leeuwenberg, Lotty Hooft et al. npj Digital Medicine	451
32	Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al. Nature Medicine	448
33	Artificial intelligence literacy in higher and adult education: A scoping literature review Matthias Carl Laupichler, Alexandra Aster, Jana Schirch et al. Computers and Education Artificial Intelligence	445
34	Medical 4.0 technologies for healthcare: Features, capabilities, and applications Abid Haleem, Mohd Javaid, Ravi Pratap Singh et al. Internet of Things and Cyber-Physical Systems	432
35	Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI Baptiste Vasey, Myura Nagendran, Bruce Campbell et al. Nature Medicine	432
36	MONAI: An open-source framework for deep learning in healthcare M. Jorge Cardoso, Wenqi Li, Richard Brown et al. arXiv (Cornell University)	426
37	Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review Leo Anthony Celi, Jacqueline Cellini, Marie‐Laure Charpignon et al. PLOS Digital Health	420
38	Explainable AI for Healthcare 5.0: Opportunities and Challenges Deepti Saraswat, Pronaya Bhattacharya, Ashwin Verma et al. IEEE Access	420
39	To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis Sarah Lebovitz, Hila Lifshitz‐Assaf, Natalia Levina Organization Science	408
40	Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers Catherine A. Gao, Frederick M. Howard, Nikolay S. Markov et al. —	403
41	Explainable Deep Learning: A Field Guide for the Uninitiated Gabriëlle Ras, Ning Xie, Marcel van Gerven et al. Journal of Artificial Intelligence Research	396
42	OpenAI ChatGPT Generated Literature Review: Digital Twin in Healthcare Ömer Aydın, Enis Karaarslan SSRN Electronic Journal	393
43	Development of metaverse for intelligent healthcare Ge Wang, Andreu Badal, Xun Jia et al. Nature Machine Intelligence	391
44	Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al. UTUPub (University of Turku)	390
45	Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden Lena Petersson, Ingrid Larsson, Jens Nygren et al. BMC Health Services Research	384
46	RETRACTED ARTICLE: Artificial intelligence and machine learning in precision and genomic medicine Sameer Quazi Medical Oncology	382
47	Shifting machine learning for healthcare from development to deployment and from models to data Angela Zhang, Lei Xing, James Zou et al. Nature Biomedical Engineering	381
48	An Overview of Artificial Intelligence Ethics Changwu Huang, Zeqi Zhang, Bifei Mao et al. IEEE Transactions on Artificial Intelligence	375
49	The application of AI technologies in STEM education: a systematic review from 2011 to 2021 Weiqi Xu, Fan Ouyang International Journal of STEM Education	362
50	ChatGPT: The End of Online Exam Integrity? Teo Sušnjak arXiv (Cornell University)	357

Top Papers: KI in der Medizin (2022)

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