The Role of AI in Medicine: Innovations and Insights

Unlock the potential of AI in healthcare

During the webinar, our experts took a deep dive into key topics tailored for medical professionals, researchers, AI enthusiasts, and medical librarians:

• AI Applications in Healthcare: Witness how AI is revolutionizing patient care and medical workflows, leading to unprecedented efficiencies and improved patient outcomes.
• Impact on Medical Education: Discover AI's burgeoning role in shaping the educational landscape of healthcare professionals.
• Adoption Challenges: Understand the hurdles faced during AI integration into healthcare systems and discuss actionable solutions.
• Non-Technical Learning Resources: Access a wealth of resources that make understanding AI simpler for non-tech audiences.
• Data Privacy and Ethics: Engage with crucial conversations about the protection and ethical use of patient data.
• Real-World Case Studies: Learn from practical examples, including those featured in NEJM AI, where AI tools have made significant impacts.

Reserve your seat for transformational knowledge

Engage in a robust Q&A session, where you can ask questions like:

• "How can AI tools streamline medical workflows in real-life scenarios?"
• "What strategies are most effective for incorporating AI in medical education?"

Our promise is to offer you information that is not just authoritative and educational, but actionable and impactful:

• Gain access to valuable insights backed by data and forward-thinking strategies.
• Acquire knowledge on harnessing the power of AI to improve patient outcomes and streamline operations.
• Discover how AI is revolutionizing medicine and stay ahead of the curve in this rapidly evolving field.

About the speaker

Arjun (Raj) Manrai, PhD

Assistant Professor, Department of Biomedical Informatics, Harvard Medical School

Arjun “Raj” Manrai, PhD, joined NEJM Group in 2022 as a founding Deputy Editor of NEJM AI. From Raj’s perspective, NEJM AI help’s bridge the gap between the growing capabilities of artificial intelligence and the evidence needed by clinicians to improve care.

Raj is an Assistant Professor in the Department of Biomedical Informatics at Harvard Medical School, where he directs a research lab that works broadly on machine learning and statistical approaches to improve medical decision-making. Focus areas for his group include the clinical use of genomic data and blood laboratory biomarkers, inherited heart disease and kidney disease, decision-making across populations, and reproducibility challenges for medical AI.

Raj took the scenic route to medical AI, earning an AB in Physics from Harvard College followed by a PhD in Bioinformatics and Integrative Genomics from the Harvard-MIT Division of Health Sciences and Technology (HST). He resides in the Boston area and outside work he can usually be found losing home dance competitions to his two young daughters.