Open AccessThe future of bone regeneration: integrating AI into tissue engineering
Author(s) -
Benita MacKay,
Karen M Marshall,
James Grant-Jacob,
Janos M. Kanczler,
R.W. Eason,
Richard O.C. Oreffo,
B. Mills
Publication year - 2021
Publication title -
biomedical physics and engineering express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.333
H-Index - 16
ISSN - 2057-1976
DOI - 10.1088/2057-1976/ac154f
Subject(s) - regenerative medicine , tissue engineering , limiting , biomaterial , regeneration (biology) , clinical practice , computer science , stem cell , engineering , biomedical engineering , artificial intelligence , medicine , biology , mechanical engineering , genetics , family medicine , microbiology and biotechnology
Tissue engineering is a branch of regenerative medicine that harnesses biomaterial and stem cell research to utilise the body’s natural healing responses to regenerate tissue and organs. There remain many unanswered questions in tissue engineering, with optimal biomaterial designs still to be developed and a lack of adequate stem cell knowledge limiting successful application. Advances in artificial intelligence (AI), and deep learning specifically, offer the potential to improve both scientific understanding and clinical outcomes in regenerative medicine. With enhanced perception of how to integrate artificial intelligence into current research and clinical practice, AI offers an invaluable tool to improve patient outcome.