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Tuesday, January 7
Tue, Jan 7, 9:00 AM - 10:45 AM
West Coast Ballroom
Statistical Learning Methods for Health Care Innovation

Artificial Intelligence (AI) Innovations in Clinical Research (307793)

*Sanjeeva reddy thalla, genpro life sciences india limited 

Keywords: Artificial Intelligence, AI in Medicine, Clinical Research, Diagnostic and Treatment assistance in the device trails, Image recognition and interpretation

Majority of drugs take about 10 years or more to come to market, cost billions, and have a potential to even demolish an organization in certain cases where the late stage trials fail after having poured in so much speculation. Also, Patients hardly can wait 15 years for a lifesaving drug. Thus, now is the time to focus on medication revelation and other productive process which can be easily achieved through Artificial Intelligence. AI can significantly reduce the time spent in drug development process and can cut the expenses by more than half. In this paper we aim to explain the different areas of a clinical task to which expert systems can be applied. This paper also states the various ways we may adopt Artificial Intelligence in the field of Medicine. Some of the areas that we will brief within the paper are as below: • Generating alerts and reminders of patient condition. • Diagnostic and Treatment assistance in the device trails. • Image recognition and interpretation.