Tufts Medical Center

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Melissa Haendel, Christopher G. Chute, Tellen D. Bennett et al.

2020 · 573 Zit.

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

Wouter Bulten, Kimmo Kartasalo, Po-Hsuan Cameron Chen et al.

2022 · 446 Zit.

Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities

Jessica K. Paulus, David M. Kent

2020 · 249 Zit.

Big Data and Predictive Analytics

Nilay D. Shah, Ewout W. Steyerberg, David M. Kent

2018 · 238 Zit.

Falsified papers in high-impact journals were slow to retract and indistinguishable from nonfraudulent papers

Nikolaos A. Trikalinos, Εvangelos Εvangelou, John P. A. Ioannidis

2008 · 102 Zit.

A collaborative online AI engine for CT-based COVID-19 diagnosis

Yongchao Xu, Liya Ma, Fan Yang et al.

2020 · 47 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 · 43 Zit.

The importance of trustworthiness: lessons from the COVID-19 pandemic

Mary B. Leonard, DeWayne M. Pursley, Lisa A. Robinson et al.

2021 · 39 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 · 29 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 · 19 Zit.

Natural language processing (NLP) to facilitate abstract review in medical research: the application of BioBERT to exploring the 20-year use of NLP in medical research

Safoora Masoumi, Hossein Amirkhani, Najmeh Sadeghian et al.

2024 · 15 Zit.

Research informatics and the COVID-19 pandemic: Challenges, innovations, lessons learned, and recommendations

Richard J. Bookman, James J. Cimino, Christopher A. Harle et al.

2021 · 14 Zit.

A scientometric analysis of fairness in health AI literature

Isabelle Rose I. Alberto, Nicole Rose I. Alberto, Yüksel Altınel et al.

2024 · 9 Zit.

Advancing equitable and personalized cancer care: Novel applications and priorities of artificial intelligence for fairness and inclusivity in the patient care workflow

Marisa Cobanaj, Chiara Corti, Edward Christopher Dee et al.

2023 · 8 Zit.

The cost effectiveness of a radiation therapy simulator: A model for the determination of need

Anatoly Dritschilo, David Μ. Sherman, Bahman Emami et al.

1979 · 6 Zit.