Where AI Is Moving the Needle: From LLMs to Oncology
While the 2016 era was defined by pattern recognition, today’s AI revolution is defined by reasoning and language. We have entered the era of Self-Supervised Learning and Large Language Models (LLMs). The Era of Medical Reasoning The progress has been exponential. GPT-4 is capable of scoring over 70% on specialized medical board exams, a significant […]
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 […]
Evidence from Early Adopters: Lessons from AI Integration in Oncology
Data Speaks: What Early Adopters Are Seeing Evidence from leading cancer centers confirms that integrating AI into radiation oncology is not theoretical—it’s transformative. Institutions that have successfully embedded AI into their workflows are already reporting: Crucially, these benefits accrue to clinicians who embrace AI—not those replaced by it. The data supports a simple truth: AI […]
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 […]