Top Papers: KI in der Medizin (2018)

Die 50 meistzitierten Arbeiten zu KI in der Medizin aus dem Jahr 2018 (von 1.216 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.

2016 2017 2018 2019

#	Paper	Zitationen
1	High-performance medicine: the convergence of human and artificial intelligence Eric J. Topol Nature Medicine	7.756
2	Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) Amina Adadi, Mohammed Berrada IEEE Access	5.526
3	A guide to deep learning in healthcare Andre Esteva, Alexandre Robicquet, Bharath Ramsundar et al. Nature Medicine	4.365
4	Artificial intelligence in healthcare Kun‐Hsing Yu, Andrew L. Beam, Isaac S. Kohane Nature Biomedical Engineering	2.602
5	Scalable and accurate deep learning with electronic health records Alvin Rajkomar, Eyal Oren, Kai Chen et al. npj Digital Medicine	2.288
6	Maximum Classifier Discrepancy for Unsupervised Domain Adaptation Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku et al. —	2.198
7	The practical implementation of artificial intelligence technologies in medicine Jianxing He, Sally L. Baxter, Jie Xu et al. Nature Medicine	2.129
8	Explainable machine-learning predictions for the prevention of hypoxaemia during surgery Scott Lundberg, Bala G. Nair, Monica S. Vavilala et al. Nature Biomedical Engineering	1.940
9	Implementing Machine Learning in Health Care — Addressing Ethical Challenges Danton Char, Nigam H. Shah, David Magnus New England Journal of Medicine	1.529
10	Privacy in the age of medical big data W. Nicholson Price, I. Glenn Cohen Nature Medicine	1.318
11	Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data Milena Gianfrancesco, Suzanne Tamang, Jinoos Yazdany et al. JAMA Internal Medicine	1.282
12	Artificial Intelligence in Surgery: Promises and Perils Daniel A. Hashimoto, Guy Rosman, Daniela Rus et al. Annals of Surgery	1.273
13	The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care Matthieu Komorowski, Leo Anthony Celi, Omar Badawi et al. Nature Medicine	1.168
14	Artificial Intelligence in Cardiology Kipp W. Johnson, Jessica Torres Soto, Benjamin S. Glicksberg et al. Journal of the American College of Cardiology	1.119
15	Ensuring Fairness in Machine Learning to Advance Health Equity Alvin Rajkomar, Michaela Hardt, Michael Howell et al. Annals of Internal Medicine	1.092
16	Artificial intelligence in drug development: present status and future prospects Kit‐Kay Mak, Mallikarjuna Rao Pichika Drug Discovery Today	913
17	Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction Seong Ho Park, Kyunghwa Han Radiology	829
18	Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine Filippo Pesapane, Marina Codari, Francesco Sardanelli European Radiology Experimental	804
19	Machine learning in medicine: Addressing ethical challenges Effy Vayena, Alessandro Blasimme, I. Glenn Cohen PLoS Medicine	774
20	Clinical Decision Support in the Era of Artificial Intelligence Edward H. Shortliffe, Martin Sepulveda JAMA	772
21	AI can be sexist and racist — it’s time to make it fair James Zou, Londa Schiebinger Nature	737
22	Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings? Brian Wahl, Aline Cossy-Gantner, Stefan Germann et al. BMJ Global Health	719
23	Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet Nicholas Bien, Pranav Rajpurkar, Robyn L. Ball et al. PLoS Medicine	711
24	Medical students' attitude towards artificial intelligence: a multicentre survey Daniel Pinto dos Santos, Daniel Giese, Sebastian Brodehl et al. European Radiology	702
25	Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success James H. Thrall, Xiang Li, Quanzheng Li et al. Journal of the American College of Radiology	699
26	Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care? Stefano A. Bini The Journal of Arthroplasty	652
27	Deep learning based tissue analysis predicts outcome in colorectal cancer Dmitrii Bychkov, Nina Linder, Riku Turkki et al. Scientific Reports	644
28	Artificial intelligence, machine learning and health systems Trishan Panch, Peter Szolovits, Rifat Atun Journal of Global Health	618
29	Deep neural network improves fracture detection by clinicians Robert Lindsey, Aaron Daluiski, Sumit Chopra et al. Proceedings of the National Academy of Sciences	592
30	Artificial intelligence-enabled healthcare delivery Sandeep Reddy, John Fox, Maulik Purohit Journal of the Royal Society of Medicine	582
31	Artificial intelligence faces reproducibility crisis Matthew Hutson Science	562
32	The malicious use of artificial intelligence: Forecasting, prevention, and mitigation Miles Brundage, Shahar Avin, Jack Clark et al. Apollo (University of Cambridge)	526
33	Canadian Association of Radiologists White Paper on Artificial Intelligence in Radiology An Tang, Roger Tam, Alexandre Cadrin-Chênevert et al. Canadian Association of Radiologists Journal	501
34	Interpretable Machine Learning in Healthcare Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai —	496
35	The need for uncertainty quantification in machine-assisted medical decision making Edmon Begoli, Tanmoy Bhattacharya, Dimitri Kusnezov Nature Machine Intelligence	491
36	Deep Learning in Medicine—Promise, Progress, and Challenges Fei Wang, Lawrence P. Casalino, Dhruv Khullar JAMA Internal Medicine	477
37	Concurrence of big data analytics and healthcare: A systematic review Nishita Mehta, Anil Pandit International Journal of Medical Informatics	473
38	Artificial intelligence powers digital medicine Alexander L. Fogel, Joseph C. Kvedar npj Digital Medicine	459
39	Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States Filippo Pesapane, Caterina Volonté, Marina Codari et al. Insights into Imaging	452
40	The RSNA Pediatric Bone Age Machine Learning Challenge Safwan S. Halabi, Luciano M. Prevedello, Jayashree Kalpathy–Cramer et al. Radiology	447
41	Automated detection and classification of the proximal humerus fracture by using deep learning algorithm Seok Won Chung, Seung Seog Han, Ji Whan Lee et al. Acta Orthopaedica	442
42	Healthcare professionals’ competence in digitalisation: A systematic review Jenni Konttila, Heidi Siira, Helvi Kyngäs et al. Journal of Clinical Nursing	436
43	Automated Gleason grading of prostate cancer tissue microarrays via deep learning Eirini Arvaniti, Kim S. Fricker, Michaël Moret et al. Scientific Reports	425
44	Blockchain Technology Use Cases in Healthcare Peng Zhang, Douglas C. Schmidt, Jules White et al. Advances in computers	419
45	Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study Xiangchun Li, Sheng Zhang, Qiang Zhang et al. The Lancet Oncology	418
46	Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review Theresa A. Koleck, Caitlin Dreisbach, Philip E. Bourne et al. Journal of the American Medical Informatics Association	415
47	Peering Into the Black Box of Artificial Intelligence: Evaluation Metrics of Machine Learning Methods Guy Handelman, Hong Kuan Kok, Ronil V. Chandra et al. American Journal of Roentgenology	407
48	Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery Shane O’Sullivan, Nathalie Nevejans, Colin Allen et al. International Journal of Medical Robotics and Computer Assisted Surgery	406
49	Building Trust in Artificial Intelligence, Machine Learning, and Robotics Keng Siau, Weiyu Wang Singapore Management University Institutional Knowledge (InK) (Singapore Management University)	395
50	The Application of Medical Artificial Intelligence Technology in Rural Areas of Developing Countries Jonathan Guo, Bin Li Health Equity	384

Top Papers: KI in der Medizin (2018)

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