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AI in Health Care: Revolutionizing Drug Development
Credit(s):
0.5 AMA PRA Category 1 Credits™ (Enduring)
0.5 ETHICS
In this episode we dive into the transformative role of augmented intelligence (AI) in clinical research. Dr. Thatikonda shares insights on how AI, particularly machine learning, accelerates drug discovery and optimizes clinical trials.
Join us to discover how AI is transforming healthcare research, ensuring safer, more efficient drug development, and ultimately enhancing patient outcomes.
Best Bits
Discover the nuances of AI's application from drug discovery to post-marketing surveillance
Learn about the challenges posed by data variability and the importance of maintaining human oversight in AI systems
Get informed on AI policy and regulation, ensuring these innovations benefit both healthcare professionals and patients across Texas.
To Claim CME
Register for the program,
Click the green play button below and listen to the podcast episode, and
Complete the program evaluation.
Learning Objective Upon completion of this program, participants should be able to discuss various ways AI is integrated into health care.
ACGME/ABMS Competencies This program addresses the following desirable physician attributes: provide patient centered care; system-based practice; roles and professionalism
Return Policy No refunds or exchanges will be processed for this program.
0.5 AMA PRA Category 1 Credits™ (Enduring) The Texas Medical Association is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The Texas Medical Association designates this enduring activity for a maximum of 0.5 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
On select courses, the Texas Medical Association requires physician to complete 70-percent of the test questions correctly to receive credit for this course.
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