Boston University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Clinician and Dataset Shift in Artificial Intelligence
Samuel G. Finlayson, Adarsh Subbaswamy, Karandeep Singh et al.
2021 · 605 Zit.
Machine learning and medical education
Vijaya B. Kolachalama, Priya S. Garg
2018 · 313 Zit.
Understanding, explaining, and utilizing medical artificial intelligence
Romain Cadario, Chiara Longoni, Carey K. Morewedge
2021 · 307 Zit.
Artificial intelligence and machine learning in cancer imaging
Dow‐Mu Koh, Nickolas Papanikolaou, Ulrich Bick et al.
2022 · 297 Zit.
Patient Perspectives on the Use of Artificial Intelligence for Skin Cancer Screening
Caroline A. Nelson, Lourdes M. Pérez-Chada, Andrew Creadore et al.
2020 · 271 Zit.
Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence
Ali Guermazi, Chadi Tannoury, Andrew J. Kompel et al.
2021 · 266 Zit.
Time to reality check the promises of machine learning-powered precision medicine
Jack Wilkinson, Kellyn F Arnold, Eleanor J. Murray et al.
2020 · 238 Zit.
A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis
Miriam Harris, Amy Qi, Luke Jeagal et al.
2019 · 182 Zit.
Addressing Social Determinants of Health
José F. Figueroa, Austin B. Frakt, Ashish K. Jha
2020 · 175 Zit.
Governing knowledge in the scientific community: Exploring the role of retractions in biomedicine
Jeffrey L. Furman, Kyle Jensen, Fiona Murray
2012 · 156 Zit.
Natural Language–based Machine Learning Models for the Annotation of Clinical Radiology Reports
John R. Zech, Margaret Pain, J. Titano et al.
2018 · 142 Zit.
Diverse patients’ attitudes towards Artificial Intelligence (AI) in diagnosis
Christopher T. Robertson, Andrew Keane Woods, Kelly Bergstrand et al.
2023 · 123 Zit.
Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools
John D. Piette, Sean Newman, Sarah L. Krein et al.
2022 · 113 Zit.
Computerization and the future of primary care: A survey of general practitioners in the UK
Charlotte Blease, Michael H. Bernstein, Jens Gaab et al.
2018 · 95 Zit.
Machine learning models to predict onset of dementia: A label learning approach
Vijay S. Nori, Christopher A. Hane, William H. Crown et al.
2019 · 93 Zit.