Dr. Bradley Erickson from Mayo Clinic discusses using AI to predict tumor genomics from MRIs, revolutionizing brain tumor treatment. The podcast explores the evolution of AI in medical imaging, AI-driven radio genomics, and the role of AI in health data monitoring and intervention.
AI can predict tumor genomics using MRIs, aiding treatment decisions.
Radiogenomics offers insights into tumor prognosis and therapy selection from imaging data.
Deep dives
Evolution of AI in Radiology
The podcast discusses the evolution of artificial intelligence (AI) in radiology, highlighting Dr. Bradley Eriksson's research on using AI to extract information from medical images. Radiology initially relied on film images until the 1980s, when interest in applying machine learning and AI to medical imaging grew. Dr. Eriksson's research delves into the use of computer technologies, like AI, to enhance image interpretation, leading to advancements in the field.
Radio Genomics: Extracting Genomic Properties from Images
Dr. Eriksson introduces the concept of radiogenomics, which involves extracting genomic properties of tumors from medical images. By analyzing MRI, CT, and other modalities, researchers can detect genetic traits like 1P19Q chromosomal deletions and MGMT methylation. Radiogenomics offers insights into tumor prognosis, therapy selection, and identification of subpopulations for tailored treatments, showcasing the potential of imaging technology in understanding complex biological interactions.
Future Applications and Integration with Wearables
The discussion extends to broader applications of imaging technology beyond cancer diagnosis, envisioning a future where imaging data integrates with wearable devices and continuous monitoring tools. The potential of AI in analyzing diverse data sources, including voice stress levels, temperature fluctuations, and activity levels, opens possibilities for proactive health monitoring and personalized interventions. Emphasizing the shift towards preventive healthcare, the conversation reflects optimism about leveraging technology to improve patient care and outcomes.
We talk with Dr. Bradley Erickson, a Mayo Clinic neuroradiologist, who uses AI to predict tumor genomics using MRIs. His method could give doctors easier access to invaluable genetic information. Information that could predict how quickly a tumor will progress, and if it will respond to specific drugs and other treatments.
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