About
Artificial intelligence has rapidly moved from theory to practice in healthcare, but where does the research stand today? In this session, Dr. Piyush Mathur, clinician, innovator, and global AI leader, provides a comprehensive look at the current state of AI in healthcare research. Drawing from his leadership at Cleveland Clinic and BrainX Community, he highlights emerging trends, real-world applications, and the barriers researchers and clinicians face in bringing AI safely and effectively into practice. What is this program about? This program examines how AI is being developed, tested, and implemented across diverse areas of healthcare. Dr. Mathur explores key themes in machine learning research, including predictive analytics, clinical decision support, and perioperative applications. Attendees will learn about the opportunities AI presents for improving patient outcomes, the ethical and compliance challenges it introduces, and the areas where rigorous research is still needed before widespread adoption. Highlights 1. Gain a comprehensive overview of the current landscape of AI in healthcare research. 2. Explore real-world use cases where AI is improving patient care and clinical outcomes. 3. Understand the challenges of integrating AI into clinical workflows and research studies. 4. Discover the role of global research communities, like BrainX, in shaping AI innovation. Learning Objectives 1. Explain the current state of AI research in healthcare and its main areas of focus. 2. Identify clinical use cases where AI is demonstrating measurable value. 3. Recognize ethical, compliance, and implementation challenges in AI research. 4. Assess how machine learning communities drive collaboration and innovation. 5. Evaluate future research directions needed to safely scale AI in healthcare.
You can also join this program via the mobile app. Go to the app