The Translation Gap: Why Most Oncology AI Fails to Reach the Clinic
Artificial intelligence holds transformative potential in oncology, yet a persistent paradox remains. Despite a proliferation of research papers and experimental success, the oncology community faces a “translation gap.” We are seeing remarkable algorithms in the lab, but a struggle to convert them into real-world clinical impact. The problem is rarely the math. Success in oncology […]
The Foundations of a Revolution: How 2016 Changed Healthcare AI Forever
The Foundations of a Revolution: How 2016 Changed Healthcare AI Forever Artificial intelligence in healthcare has evolved far beyond academic prototypes. Yet, to truly understand where we are going and the rapid rise of Generative AI, we must first understand the pivotal moment when the technology matured from an experimental curiosity into a transformative clinical […]
Perception vs. Reality: Will AI Take My Job?
“Physicians who do not adopt AI will be left behind.” That striking statement came during an office hours session in Harvard’s AI in Healthcare course, when a practicing physician voiced a question that keeps many clinicians awake at night: “Will AI take my job?” The instructor’s answer reframed the conversation entirely. Clinicians aren’t facing replacement […]
Beyond Point Solutions: A Win–Win–Win-Win Framework for Embedding AI into Oncology for Sustainable Impact
Beyond Point Solutions: A Win–Win–Win-Win Framework for Embedding AI into Oncology for Sustainable Impact Artificial Intelligence (AI) is often introduced into oncology with great promise of faster treatment planning, improved precision, and reduced clinician workload. But too often, these innovations remain isolated point solutions, powerful tools solving single problems in a vacuum. The outcome is […]