AI in Clinical Trials: Present & Future
The widely accepted approach for proving the efficacy and safety of novel medications is still the traditional “linear and sequential” clinical trial technique. However, poor patient selection, recruitment, retention, management issues, and insufficient patient monitoring etc. are partially responsible for the lengthening of studies and high trial failure rates. Artificial intelligence (AI) has the ability to reduce clinical cycle times by lowering the cost and burden of clinical development.