Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alessandro Luna"'
Autor:
Alessandro Luna, Lorenzo Casertano, Jean Timmerberg, Margaret O’Neil, Jason Machowsky, Cheng-Shiun Leu, Jianghui Lin, Zhiqian Fang, William Douglas, Sunil Agrawal
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Artificial intelligence technology is becoming more prevalent in health care as a tool to improve practice patterns and patient outcomes. This study assessed ability of a commercialized artificial intelligence (AI) mobile application to iden
Externí odkaz:
https://doaj.org/article/89aeee58bea047ab8053de580c7f5f51
Publikováno v:
BMJ Open Quality, Vol 9, Iss 3 (2020)
Patient-centered organisations Healthcare organisations now integrate patient feedback into value-based compensation formulas. This research considered Stanford Healthcare’s same-day feedback, a programme designed to evaluate the patient experience
Externí odkaz:
https://doaj.org/article/a64171250ee94a83aca9783c8314ffa3
Autor:
Alessandro Luna
Publikováno v:
Journal of 3D Printing in Medicine. 5:183-190
3D-printing innovations are being explored as a uniting framework for the future of individualized joint replacement. The ability to convert 2D medical images to adjustable 3D models means a patient’s own anatomy can serve as the foundation for imp
Autor:
Alessandro Luna, Michael W Denham
Publikováno v:
Journal of comparative effectiveness research. 11(14)
Objectives: To assess style and themes of feedback provided by artificial intelligence (AI) mobile application and physical therapist (PT) to participants during bodyweight squat exercise. Methods: Research population was age 20–35, without any pre
Autor:
Jason Machowsky, Jianghui Lin, Jean Fitzpatrick Timmerberg, Cheng-Shiun Leu, Alessandro Luna, Lorenzo Casertano, William Douglas, Margaret E. O’neil, Sunil K. Agrawal, Zhiqian Fang
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Artificial intelligence technology is becoming more prevalent in health care as a tool to improve practice patterns and patient outcomes. This study assessed ability of a commercialized artificial intelligence (AI) mobile application to identify and