Top Papers: KI in der Medizin (2019)

Die 50 meistzitierten Arbeiten zu KI in der Medizin aus dem Jahr 2019 (von 2.068 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.

2017 2018 2019 2020

#	Paper	Zitationen
1	Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser et al. Information Fusion	8.349
2	Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead Cynthia Rudin Nature Machine Intelligence	8.219
3	Systematic review of research on artificial intelligence applications in higher education – where are the educators? Olaf Zawacki‐Richter, Victoria I. Marín, Melissa Bond et al. International Journal of Educational Technology in Higher Education	4.566
4	Machine Learning in Medicine Alvin Rajkomar, Jay B. Dean, Isaac S. Kohane New England Journal of Medicine	3.650
5	The potential for artificial intelligence in healthcare Thomas H. Davenport, Ravi Kalakota Future Healthcare Journal	3.483
6	Key challenges for delivering clinical impact with artificial intelligence Christopher Kelly, Alan Karthikesalingam, Mustafa Suleyman et al. BMC Medicine	2.244
7	A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models Evangelia Christodoulou, Jie Ma, Gary S. Collins et al. Journal of Clinical Epidemiology	1.842
8	Artificial intelligence in cancer imaging: Clinical challenges and applications Wenya Linda Bi, Ahmed Hosny, Matthew B. Schabath et al. CA A Cancer Journal for Clinicians	1.785
9	A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis Xiaoxuan Liu, Livia Faes, Aditya U. Kale et al. The Lancet Digital Health	1.739
10	Resistance to Medical Artificial Intelligence Chiara Longoni, Andrea Bonezzi, Carey K. Morewedge Journal of Consumer Research	1.561
11	Big data and machine learning algorithms for health-care delivery Kee Yuan Ngiam, Ing Wei Khor The Lancet Oncology	1.389
12	<p>Taiwan’s National Health Insurance Research Database: past and future</p> Cheng‐Yang Hsieh, Chien‐Chou Su, Shih‐Chieh Shao et al. Clinical Epidemiology	1.177
13	DARPA's Explainable Artificial Intelligence Program David Gunning, David W. Aha AI Magazine	1.147
14	Explainable AI: from black box to glass box Arun Rai Journal of the Academy of Marketing Science	1.074
15	Overview of artificial intelligence in medicine Fnu Amisha, Paras Malik, Monika Pathania et al. Journal of Family Medicine and Primary Care	1.060
16	Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again Eric J. Topol, Graham Winton —	996
17	Adversarial attacks on medical machine learning Samuel G. Finlayson, John D. Bowers, Joichi Ito et al. Science	976
18	Do no harm: a roadmap for responsible machine learning for health care Jenna Wiens, Suchi Saria, Mark Sendak et al. Nature Medicine	912
19	Artificial intelligence, bias and clinical safety Robert Challen, Joshua C. Denny, Martin Pitt et al. BMJ Quality & Safety	863
20	Designing Theory-Driven User-Centric Explainable AI Danding Wang, Qian Yang, Ashraf Abdul et al. —	813
21	A governance model for the application of AI in health care Sandeep Reddy, Sonia Allan, Simon Coghlan et al. Journal of the American Medical Informatics Association	784
22	The impact of artificial intelligence in medicine on the future role of the physician Abhimanyu S. Ahuja PeerJ	771
23	AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias Rachel Bellamy, Kuntal Dey, Michael Hind et al. IBM Journal of Research and Development	761
24	Introduction to artificial intelligence in medicine Yoav Mintz, Ronit Brodie Minimally Invasive Therapy & Allied Technologies	742
25	Addressing Bias in Artificial Intelligence in Health Care Ravi B. Parikh, Stephanie Teeple, Amol S. Navathe JAMA	739
26	Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence Huiying Liang, Brian Tsui, Hao Ni et al. Nature Medicine	703
27	Artificial Intelligence and Black‐Box Medical Decisions: <i>Accuracy versus Explainability</i> Alex John London The Hastings Center Report	702
28	Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review Kai Siang Chan, Nabil Zary JMIR Medical Education	650
29	Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges Shigao Huang, Jie Yang, Simon Fong et al. Cancer Letters	647
30	Artificial Intelligence in Health Care Michael E. Matheny, Danielle Whicher, Sonoo Thadaney Israni JAMA	620
31	Artificial Intelligence for Clinical Trial Design Stefan Harrer, Pratik Shah, Bhavna Antony et al. Trends in Pharmacological Sciences	609
32	Artificial Intelligence Transforms the Future of Health Care Nariman Noorbakhsh-Sabet, Ramin Zand, Yanfei Zhang et al. The American Journal of Medicine	603
33	Introducing Artificial Intelligence Training in Medical Education Ketan Paranjape, Michiel Schinkel, Rishi Panday et al. JMIR Medical Education	578
34	"Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making Carrie J. Cai, Samantha Winter, David F. Steiner et al. Proceedings of the ACM on Human-Computer Interaction	537
35	Artificial Intelligence and Surgical Decision-making Tyler J. Loftus, Patrick Tighe, Amanda C. Filiberto et al. JAMA Surgery	527
36	Virtual Patient Simulations in Health Professions Education: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration Andrzej A. Kononowicz, Luke Woodham, Samuel Edelbring et al. Journal of Medical Internet Research	522
37	Machine learning for clinical decision support in infectious diseases: a narrative review of current applications Nathan Peiffer‐Smadja, Timothy M. Rawson, Raheelah Ahmad et al. Clinical Microbiology and Infection	520
38	Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation Micah Sheller, G. Anthony Reina, Brandon Edwards et al. Lecture notes in computer science	519
39	Applications of artificial neural networks in health care organizational decision-making: A scoping review Nida Shahid, Tim Rappon, Whitney Berta PLoS ONE	519
40	How to Read Articles That Use Machine Learning Yun Liu, Po-Hsuan Cameron Chen, Jonathan Krause et al. JAMA	506
41	Privacy-Preserving Federated Brain Tumour Segmentation Wenqi Li, Fausto Milletarì, Daguang Xu et al. Lecture notes in computer science	501
42	On the ethics of algorithmic decision-making in healthcare Thomas Grote, Philipp Berens Journal of Medical Ethics	500
43	Artificial Intelligence in Anesthesiology Daniel A. Hashimoto, Elan R. Witkowski, Lei Gao et al. Anesthesiology	496
44	A new era: artificial intelligence and machine learning in prostate cancer S. Larry Goldenberg, Guy Nir, Septimiu E. Salcudean Nature Reviews Urology	495
45	Artificial intelligence in healthcare: An essential guide for health leaders Mei Chen, Michel Décary Healthcare Management Forum	493
46	Artificial intelligence and machine learning in clinical development: a translational perspective Pratik Shah, Francis Kendall, Sean Khozin et al. npj Digital Medicine	490
47	Artificial intelligence and algorithmic bias: implications for health systems Trishan Panch, Heather Mattie, Rifat Atun Journal of Global Health	486
48	Artificial intelligence: Implications for the future of work John Howard American Journal of Industrial Medicine	481
49	The “inconvenient truth” about AI in healthcare Trishan Panch, Heather Mattie, Leo Anthony Celi npj Digital Medicine	463
50	Potential Liability for Physicians Using Artificial Intelligence W. Nicholson Price, Sara Gerke, I. Glenn Cohen JAMA	462

Top Papers: KI in der Medizin (2019)

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