Tufts Medical Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge
Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.
2022 · 464 Zit.
Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities
Jessica K. Paulus, David M. Kent
2020 · 263 Zit.
Big Data and Predictive Analytics
Nilay D. Shah, Ewout W. Steyerberg, David M. Kent
2018 · 241 Zit.
Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens
Kunal Nagpal, Davis Foote, Fraser Elisabeth Tan et al.
2020 · 222 Zit.
Mapping clinical reasoning literature across the health professions: a scoping review
Meredith Young, Aliki Thomas, Stuart Lubarsky et al.
2020 · 124 Zit.
The impact of commercial health datasets on medical research and health-care algorithms
Isabelle Rose I. Alberto, Nicole Rose I. Alberto, Arnab K. Ghosh et al.
2023 · 77 Zit.
External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature
Benjamin S. Wessler, Jason Nelson, Jinny G. Park et al.
2021 · 72 Zit.
Large-scale validation of the prediction model risk of bias assessment Tool (PROBAST) using a short form: high risk of bias models show poorer discrimination
Esmée Venema, Benjamin S. Wessler, Jessica K. Paulus et al.
2021 · 60 Zit.
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement from the ACR, CAR, ESR, RANZCR and RSNA
Adrian P. Brady, Bibb Allen, Jaron Chong et al.
2024 · 53 Zit.
A collaborative online AI engine for CT-based COVID-19 diagnosis
Yongchao Xu, Liya Ma, Fan Yang et al.
2020 · 47 Zit.
The Potential of Training to Increase Acceptance and Use of Computerized Decision Support Systems for Medical Diagnosis
Fuji Lai, Jean MacMillan, Denise H. Daudelin et al.
2006 · 46 Zit.
Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique Models
Gaurav Gulati, Jenica Upshaw, Benjamin S. Wessler et al.
2022 · 45 Zit.
The importance of trustworthiness: lessons from the COVID-19 pandemic
Mary B. Leonard, DeWayne M. Pursley, Lisa A. Robinson et al.
2021 · 41 Zit.
Developing, purchasing, implementing and monitoring AI tools in radiology: Practical considerations. A multi‐society statement from the ACR, CAR, ESR, RANZCR & RSNA
Adrian P. Brady, Bibb Allen, Jaron Chong et al.
2024 · 32 Zit.
Guidance for unbiased predictive information for healthcare decision-making and equity (GUIDE): considerations when race may be a prognostic factor
Keren Ladin, John K. Cuddeback, O. Kenrik Duru et al.
2024 · 23 Zit.