Artificial intelligence (AI) systems for interpreting complex medical datasets.
Clin Pharmacol Ther
; 101(5): 585-586, 2017 May.
Article
in En
| MEDLINE
| ID: mdl-28182259
ABSTRACT
Advances in machine intelligence have created powerful capabilities in algorithms that find hidden patterns in data, classify objects based on their measured characteristics, and associate similar patients/diseases/drugs based on common features. However, artificial intelligence (AI) applications in medical data have several technical challenges complex and heterogeneous datasets, noisy medical datasets, and explaining their output to users. There are also social challenges related to intellectual property, data provenance, regulatory issues, economics, and liability.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Artificial Intelligence
/
Data Interpretation, Statistical
Limits:
Humans
Language:
En
Journal:
Clin Pharmacol Ther
Year:
2017
Document type:
Article
Affiliation country:
United States