AI-Powered Predictive Analytics in Healthcare
- Mar 12, 2025
- 7:00PM TO 8:00 PM
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About the Case Presentation
AI-powered predictive analytics is transforming healthcare by enabling early disease detection, personalized treatment plans, and efficient resource management. By analyzing vast datasets, AI can predict disease outbreaks, patient deterioration, and treatment responses, improving clinical decision-making. Hospitals use predictive models to reduce readmission rates, optimize staffing, and enhance patient outcomes. Machine learning algorithms identify patterns in medical records, genomics, and wearable data, leading to proactive rather than reactive care. This technology enhances precision medicine, reduces costs, and improves overall healthcare efficiency. However, challenges like data privacy, bias, and integration with existing systems must be addressed for widespread adoption.
About the Speaker
Dr. Avneesh Khare
Consultant, BrainX AI, Cleveland, United States of America
Dr. Avneesh Khare is a renowned thought leader, educator, advisor, and consultant specializing in AI and emerging technologies in medicine. He serves as a consultant at BrainX AI, Cleveland, USA, and is a founding member and media wing leader at DoctorsAI. Holding an MBBS, MD, DNB in Anaesthesiology, PDCC in Pain Management, MNAMS, and an MBA in Hospital & Health Systems Management, he has been certified by the American Board of AI in Medicine (ABAIM) and holds a Healthcare Leadership certificate from Duke University, USA. A member of the NAMS (India) Taskforce on AI in Healthcare, he has been an invited panelist at the G20 (India) Consultation in Rishikesh. His accolades include the 5-Star Mentor Award (Bionabu, UK), LinkedIn ‘Top Voice’ recognition in the USA, and features in Forbes and at Times Square, New York. He has published 15 research papers (12 international, 1 editorial), authored a book chapter, and created the ‘Med AI’ Capsule Newsletter.