Mayo Clinic
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial Intelligence in Precision Cardiovascular Medicine
Chayakrit Krittanawong, HongJu Zhang, Zhen Wang et al.
2017 · 1.069 Zit.
A clinical text classification paradigm using weak supervision and deep representation
Yanshan Wang, Sunghwan Sohn, Sijia Liu et al.
2019 · 416 Zit.
Patient apprehensions about the use of artificial intelligence in healthcare
Jordan Richardson, Cambray Smith, Susan Curtis et al.
2021 · 384 Zit.
Going Virtual to Support Anatomy Education: A STOPGAP in the Midst of the Covid‐19 Pandemic
Darrell J. R. Evans, Boon‐Huat Bay, Timothy D. Wilson et al.
2020 · 323 Zit.
Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment
Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan et al.
2022 · 321 Zit.
Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints
Ohad Oren, Bernard J. Gersh, Deepak L. Bhatt
2020 · 311 Zit.
Artificial Intelligence in Cardiology: Present and Future
Francisco López-Jiménez, Zachi I. Attia, Adelaide M. Arruda‐Olson et al.
2020 · 268 Zit.
Machine learning and conventional statistics: making sense of the differences
Christophe Ley, R. Kyle Martin, Ayoosh Pareek et al.
2022 · 182 Zit.
Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation
Andrew Wen, Sunyang Fu, Sungrim Moon et al.
2019 · 142 Zit.
Integrating Retrieval-Augmented Generation with Large Language Models in Nephrology: Advancing Practical Applications
Jing Miao, Charat Thongprayoon, Supawadee Suppadungsuk et al.
2024 · 141 Zit.
Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations
Jacob Shreve, Sadia Khanani, Tufia C. Haddad
2022 · 133 Zit.
Assessment of a deep-learning system for fracture detection in musculoskeletal radiographs
Rebecca M. Jones, Anuj Kumar Sharma, Robert Hotchkiss et al.
2020 · 130 Zit.
Electronic medical records for clinical research: application to the identification of heart failure.
Serguei Pakhomov, Susan A. Weston, Steven J. Jacobsen et al.
2007 · 126 Zit.
Mitigating Bias in Radiology Machine Learning: 1. Data Handling
Pouria Rouzrokh, Bardia Khosravi, Shahriar Faghani et al.
2022 · 124 Zit.
Blockchain Technology: A Data Framework to Improve Validity, Trust, and Accountability of Information Exchange in Health Professions Education
E.E. Funk, Jeff Riddell, Felix Ankel et al.
2018 · 120 Zit.