Top Papers: KI in der Medizin (2016)

Die 50 meistzitierten Arbeiten zu KI in der Medizin aus dem Jahr 2016 (von 505 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.

2014 2015 2016 2017

#	Paper	Zitationen
1	Predicting the Future — Big Data, Machine Learning, and Clinical Medicine Ziad Obermeyer, Ezekiel Emanuel New England Journal of Medicine	3.354
2	The ethics of algorithms: Mapping the debate Brent Mittelstadt, Patrick Allo, Mariarosaria Taddeo et al. Big Data & Society	2.703
3	International consensus statement on the peri‐operative management of anaemia and iron deficiency Manuel Múñoz, Austin G. Acheson, Michael Auerbach et al. Anaesthesia	817
4	Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence Yu Chen, Tom Diethe, Peter Flach National Conference on Artificial Intelligence	682
5	Electronic health records to facilitate clinical research Martín Cowie, Juuso Blomster, Lesley H. Curtis et al. Clinical Research in Cardiology	660
6	Adapting to Artificial Intelligence Saurabh Kumar Jha, Eric J. Topol JAMA	607
7	HR and analytics: why HR is set to fail the big data challenge David Angrave, Andy Charlwood, Ian Kirkpatrick et al. Human Resource Management Journal	567
8	Natural Language Processing in Radiology: A Systematic Review Ewoud Pons, Loes Braun, M. G. Myriam Hunink et al. Radiology	564
9	There is a blind spot in AI research Kate Crawford, Ryan Calo Nature	512
10	Adverse Events in Robotic Surgery: A Retrospective Study of 14 Years of FDA Data Homa Alemzadeh, Jai Raman, Nancy G. Leveson et al. PLoS ONE	414
11	Challenges and Opportunities of Big Data in Health Care: A Systematic Review Clemens Scott Kruse, Rishi Goswamy, Yesha Raval et al. JMIR Medical Informatics	398
12	Algorithmic Bias Sara Hajian, Francesco Bonchi, Carlos Castillo —	340
13	Development of the Anatomical Quality Assessment (AQUA) Tool for the quality assessment of anatomical studies included in meta‐analyses and systematic reviews Brandon Michael Henry, Krzysztof A. Tomaszewski, Piravin Kumar Ramakrishnan et al. Clinical Anatomy	266
14	Student privacy in learning analytics: An information ethics perspective Alan Rubel, Kyle M. L. Jones The Information Society	229
15	Translating Artificial Intelligence Into Clinical Care Andrew L. Beam, Isaac S. Kohane JAMA	223
16	Ranking major and minor research misbehaviors: results from a survey among participants of four World Conferences on Research Integrity L.M. Bouter, Joeri K. Tijdink, N. H. AXELSEN et al. Research Integrity and Peer Review	215
17	Natural Language Processing Technologies in Radiology Research and Clinical Applications Tianrun Cai, Andreas A. Giannopoulos, Sheng Yu et al. Radiographics	212
18	Building the Partners HealthCare Biobank at Partners Personalized Medicine: Informed Consent, Return of Research Results, Recruitment Lessons and Operational Considerations Elizabeth W. Karlson, Natalie Boutin, Alison G. Hoffnagle et al. Journal of Personalized Medicine	205
19	Why articles are retracted: a retrospective cross-sectional study of retraction notices at BioMed Central Elizabeth Moylan, Maria Kowalczuk BMJ Open	199
20	Thyroid Imaging Reporting and Data System Risk Stratification of Thyroid Nodules: Categorization Based on Solidity and Echogenicity Dong Gyu Na, Jung Hwan Baek, Jin Yong Sung et al. Thyroid	182
21	Development of the Anatomical Quality Assurance (AQUA) Checklist: Guidelines for reporting original anatomical studies Krzysztof A. Tomaszewski, Brandon Michael Henry, Piravin Kumar Ramakrishnan et al. Clinical Anatomy	166
22	The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts Brent Mittelstadt, Luciano Floridi Law, governance and technology series	161
23	Privacy and security in the era of digital health: what should translational researchers know and do about it? Barbara L. Filkins, Ju Young Kim, Bruce Roberts et al. PubMed	157
24	30th AAAI Conference on Artificial Intelligence, AAAI 2016 Mauro Vallati, Daniele Magazzeni, Bart De Schutter et al. —	141
25	The Development of Expertise in Radiology: In Chest Radiograph Interpretation, “Expert” Search Pattern May Predate “Expert” Levels of Diagnostic Accuracy for Pneumothorax Identification Brendan S. Kelly, Louise Rainford, Sarah Darcy et al. Radiology	139
26	Big Data and Machine Learning in Plastic Surgery: A New Frontier in Surgical Innovation Jonathan Kanevsky, Jason Corban, Richard S. Gaster et al. Plastic & Reconstructive Surgery	138
27	EU regulations on algorithmic decision-making and a "right to explanation". Bryce Goodman, Seth Flaxman arXiv (Cornell University)	137
28	The Ethics of Biomedical Big Data Brent Mittelstadt, Luciano Floridi Law, governance and technology series	134
29	Handbook of Orthodontics (2016) Anne Marie Kuijpers‐Jagtman European Journal of Orthodontics	132
30	MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine Gilmer Valdés, José Marcio Luna, Eric Eaton et al. Scientific Reports	122
31	Is plagiarism changing over time? A 10-year time-lag study with three points of measurement Guy J. Curtis, Lucia Vardanega Higher Education Research & Development	120
32	Strengthening Research through Data Sharing Elizabeth Warren New England Journal of Medicine	119
33	Semi-automated detection of anterior cruciate ligament injury from MRI Ivan Štajduhar, Mihaela Mamula, Damir Miletić et al. Computer Methods and Programs in Biomedicine	119
34	Methodology for research I Rakesh Garg Indian Journal of Anaesthesia	113
35	Facilitating the ethical use of health data for the benefit of society: electronic health records, consent and the duty of easy rescue Sebastian Porsdam Mann, Julian Savulescu, Barbara J. Sahakian Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences	113
36	Ethical oversight of student data in learning analytics: a typology derived from a cross-continental, cross-institutional perspective James E. Willis, Sharon Slade, Paul Prinsloo Educational Technology Research and Development	113
37	Tertiary student attitudes to invigilated, online summative examinations Rosalind James International Journal of Educational Technology in Higher Education	112
38	Use of Mobile Devices, Social Media, and Crowdsourcing as Digital Strategies to Improve Emergency Cardiovascular Care John S. Rumsfeld, Steven C. Brooks, Tom P. Aufderheide et al. Circulation	112
39	Measuring to Improve: Peer and Crowd-sourced Assessments of Technical Skill with Robot-assisted Radical Prostatectomy Khurshid R. Ghani, David C. Miller, Susan Linsell et al. European Urology	112
40	Research integrity: Don't let transparency damage science Stephan Lewandowsky, Dorothy Bishop Nature	109
41	Use of 3D models of congenital heart disease as an education tool for cardiac nurses Giovanni Biglino, Claudio Capelli, Despina Koniordou et al. Congenital Heart Disease	108
42	Investigating the Heart Pump Implant Decision Process Qian Yang, John Zimmerman, Aaron Steinfeld et al. —	105
43	Publish or Perish mantra in the medical field: A systematic review of the reasons, consequences and remedies Salman Yousuf Guraya, Robert I. Norman, Khalid I. Khoshhal et al. Pakistan Journal of Medical Sciences	99
44	Relationship Between Preoperative Anemia and In-Hospital Mortality in Children Undergoing Noncardiac Surgery David Faraoni, James A. DiNardo, Susan M. Goobie Anesthesia & Analgesia	98
45	Implications of Direct Patient Online Access to Radiology Reports Through Patient Web Portals Christoph I. Lee, Curtis P. Langlotz, Joann G. Elmore Journal of the American College of Radiology	98
46	Precision Education Initiative: Moving Toward Personalized Education Sara A. Hart Mind Brain and Education	91
47	Association of Preoperative Anemia With Postoperative Mortality in Neonates Susan M. Goobie, David Faraoni, David Zurakowski et al. JAMA Pediatrics	90
48	Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction Gang Luo Health Information Science and Systems	89
49	Do 3D Printing Models Improve Anatomical Teaching About Hepatic Segments to Medical Students? A Randomized Controlled Study Xiangxue Kong, Lanying Nie, Huijian Zhang et al. World Journal of Surgery	87
50	STARD 2015: updated reporting guidelines for all diagnostic accuracy studies. Patrick M. Bossuyt, Jérémie F. Cohen, Constantine Gatsonis et al. PubMed	87

Top Papers: KI in der Medizin (2016)

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