
Frederick Howard, MD, explored the evolving intersection of artificial intelligence (AI), computational pathology, and precision breast oncology.

Frederick Howard, MD, explored the evolving intersection of artificial intelligence (AI), computational pathology, and precision breast oncology.

Matthew Matasar, MD, reflected on how quickly oncology has moved from skepticism to nimble adoption of AI, and what he expects from the field going forward.

Matthew Matasar, MD, weighed the optimism and uncertainty surrounding AI’s expanding role in cancer drug discovery and clinical practice.

Matthew Matasar, MD, discussed an AI-embedded deterioration index study, Epic’s patient-facing chatbot, and how AI is already absorbing routine documentation work.

Matthew Matasar, MD, outlined his wish list for AI in oncology, and detailed AI-bolstered tools already active across his 14-hospital health system.

Matthew Matasar, MD, explained why AI-assisted digital pathology may meaningfully improve diagnostic precision in hematologic malignancies.

Matthew Matasar, MD, provided practical advice for oncologists who want to start testing generative AI and RAG tools in their own practice.

Matthew Matasar, MD, detailed how retrieval-augmented generation tools are already informing real tumor board decisions in hematologic malignancies.

Matthew Matasar, MD, discussed his role leading the division of blood disorders at Rutgers Cancer Institute amid a transformative era in immunotherapy.

This episode of The AI Oncology Revolution highlighted the nursing and APP teams and how they are leading the charge in AI implementation.