{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Value Health Voices","title":"AI in Oncology: The Reality & Future of Cancer Care with Dr. Sanjay Juneja","html":"","width":"100%","height":180,"duration":3726,"description":"Is the rapid rise of artificial intelligence a threat to medicine or its greatest hope? In this episode, we tackle the massive hype and complex reality of AI in oncology with one of the leading voices in the field, Dr. Sanjay Juneja, also known as TheOncDoc. We break down what this technological revolution truly means for cancer patients, doctors, and the healthcare system at large. From uncovering hidden patterns in cancer data that defy human intuition to the practical challenges of implementation, we explore how AI is set to transform everything we thought we knew about medicine.Join us as we separate fact from fiction in the world of medical AI. Dr. Sanjay Juneja, a medical oncologist and VP of Clinical AI Operations at Tempest, shares his journey from social media educator to a trailblazer in health technology. We dive deep into how AI can address the \"unwarranted variation in care\" that leads to inconsistent patient outcomes across the country. Dr. Juneja explains how machine learning models can analyze vast datasets to find novel insights, much like Google's AlphaGo made a move in the game of Go that was inconceivable to human grandmasters. This episode explores the incredible potential of the future of AI in healthcare, from AI scribes developed to combat AI and physician burnout to new diagnostic tools that can predict hyperglycemic events from the sound of your voice or determine a tumor's molecular features from a simple pathology slide.However, the conversation doesn't shy away from the serious challenges ahead. We confront the \"garbage in, garbage out\" problem, discussing how biases in training data can lead to flawed or inequitable conclusions. A core part of our discussion focuses on the critical need for validating AI models in medicine before they are widely deployed, ensuring that these powerful tools are both safe and effective. We also explore the nuanced impact of AI and the doctor-patient relationship, debating whether an algorithm can truly...","thumbnail_url":"https://img.transistorcdn.com/db9S_il6PLnFITLNHgozxfMu-SJW6NOChUyEdhEbQVA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wNmZj/OGQ0YzdiYzg1YzNi/NzIwNDkyODQwZjM0/MjhlMi5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}