Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Paul Cerrato"'
Autor:
Joe Zhang, Sanjay Budhdeo, Wasswa William, Paul Cerrato, Haris Shuaib, Harpreet Sood, Hutan Ashrafian, John Halamka, James T. Teo
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-9 (2022)
Abstract Substantial interest and investment in clinical artificial intelligence (AI) research has not resulted in widespread translation to deployed AI solutions. Current attention has focused on bias and explainability in AI algorithm development,
Externí odkaz:
https://doaj.org/article/70f64d7a85d34bc4a2200cb17b2f8eca
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-4 (2022)
Abstract There is ample evidence to demonstrate that discrimination against several population subgroups interferes with their ability to receive optimal surgical care. This bias can take many forms, including limited access to medical services, poor
Externí odkaz:
https://doaj.org/article/4528acfb4e8447aa9bc8bc95f95153a6
Publikováno v:
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 4, Iss 6, Pp 725-732 (2020)
Emerging evidence regarding COVID-19 highlights the role of individual resistance and immune function in both susceptibility to infection and severity of disease. Multiple factors influence the response of the human host on exposure to viral pathogen
Externí odkaz:
https://doaj.org/article/24e1b2c671cf416e8f05b92f63415b1b
Publikováno v:
BMJ Health & Care Informatics, Vol 29, Iss 1 (2022)
We are at a pivotal moment in the development of healthcare artificial intelligence (AI), a point at which enthusiasm for machine learning has not caught up with the scientific evidence to support the equity and accuracy of diagnostic and therapeutic
Externí odkaz:
https://doaj.org/article/f89c88602be249158507cda30a90f37a
Autor:
John Halamka, Paul Cerrato
Publikováno v:
Clinical Decision Support and Beyond ISBN: 9780323912006
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cff7f33373d863145a85d8086d475b99
https://doi.org/10.1016/b978-0-323-91200-6.00020-6
https://doi.org/10.1016/b978-0-323-91200-6.00020-6
Autor:
Gaelen P. Adam, Jessica S. Ancker, David W. Bates, Nicole M. Benson, Aziz A. Boxwala, Steven Brown, Paul Cerrato, James J. Cimino, David A. Cook, Kathrin Cresswell, Sharon E. Davis, Guilherme Del Fiol, Apurva Desai, Floyd Eisenberg, Amy Franklin, Hamish S.F. Fraser, Emory A. Fry, John Glaser, Robert A. Greenes, John Halamka, Peter Haug, Tonya Hongsermeier, Stanley M. Huff, Robert A. Jenders, Darren K. Johnson, Kensaku Kawamoto, Kristin J. Konnyu, Lee Min Lau, Preston Lee, Leslie A. Lenert, Farah Magrabi, Michael E. Matheny, Saverio M. Maviglia, John D. McGreevey III, Timothy Miksch, Claude Nanjo, Shamim Nemati, Lucila Ohno-Machado, Thomas A. Oniki, Vimla L. Patel, Mor Peleg, Bryn Rhodes, Beatriz H. Rocha, Roberto A. Rocha, Jorge A. Rodriguez, Ian Jude Saldanha, Hojjat Salmasian, Lipika Samal, Christopher H. Schmid, Richard Schreiber, Jane Shellum, Edward H. Shortliffe, Davide Sottara, Thomas A. Trikalinos, Meghan Reading Turchioe, Marc S. Williams, Melanie C. Wright, Hong Yu, Jiajie Zhang
Publikováno v:
Clinical Decision Support and Beyond ISBN: 9780323912006
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbd79f20f23e0871ba8d4b2c9adbcf29
https://doi.org/10.1016/b978-0-323-91200-6.09990-3
https://doi.org/10.1016/b978-0-323-91200-6.09990-3
Autor:
John Halamka, Paul Cerrato
Publikováno v:
Regenerative Medicine. 16:207-213
State-of-the-art digital tools that take advantage of machine learning-derived algorithms and advanced data analytics have the potential to transform regenerative medicine by enabling investigators and clinicians to extract intelligence and actionabl
Publikováno v:
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 4, Iss 6, Pp 725-732 (2020)
Mayo Clinic Proceedings: Innovations, Quality & Outcomes
Mayo Clinic Proceedings: Innovations, Quality & Outcomes
Emerging evidence regarding COVID-19 highlights the role of individual resistance and immune function in both susceptibility to infection and severity of disease. Multiple factors influence the response of the human host on exposure to viral pathogen
Autor:
Paul Cerrato, John Halamka
The complex challenges facing healthcare require innovative solutions that can make patient care more effective, easily available, and affordable. One such solution is the digital reconstruction of medicine that transitions much of patient care from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f13bf6ca556fc0a23deaae1712f9c89c
https://doi.org/10.1201/9781003094234
https://doi.org/10.1201/9781003094234
Autor:
John Halamka, Paul Cerrato
Publikováno v:
The Digital Reconstruction of Healthcare ISBN: 9781003094234
The Digital Reconstruction of Healthcare
The Digital Reconstruction of Healthcare
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7098fc1e020976c0d9430fb7413c0618
https://doi.org/10.1201/9781003094234-2
https://doi.org/10.1201/9781003094234-2