
Improved cancer diagnostics - and improved patient outcomes - could be among the changes generative AI will bring to the healthcare industry, thanks to Paige, the first company with an FDA-approved tool for cancer diagnosis. In this episode of NVIDIA's AI Podcast, host Noah Kravitz speaks with Paige cofounder and Chief Scientific Officer Thomas Fuchs. He's also dean of artificial intelligence and human health at the Icahn School of Medicine at Mount Sinai.
Tune in to hear Fuchs on machine learning and AI applications and how technology brings better precision and care to the medical industry.
The AI Podcast Paige Cofounder Thomas Fuchs' Diagnosis on Improving Cancer Patient Outcomes With AI
Time Stamps 1:03: Background on Paige and computational pathology
7:28: How AI models use visual pattern recognition to accelerate cancer detection
11:27: Paige's results using AI in cancer imaging and pathology
15:16: Challenges in cancer detection
17:38: Thomas Fuchs' background in engineering at JPL and NASA
24:10: AI's future in the medical industry
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NVIDIA Inception program member Dotlumen is building AI glasses to help people with visual impairments navigate the world. CEO and founder Cornel Amariei discusses the processes of developing assistive technology and its potential for enhancing accessibility.
Personalized Health: Viome's Guru Banavar Discusses Startup's AI-Driven Approach Ep. 216
Viome CTO Guru Banavar discusses innovations in AI and genomics and how technology has advanced personalized health and wellness. Viome aims to tackle the root causes of chronic diseases by analyzing microbiomes and gene expression, transforming biological data into practical recommendations for a holistic approach to wellness.
Cardiac Clarity: Dr. Keith Channon Talks Revolutionizing Heart Health With AI Ep. 212
Caristo Diagnostics has developed an AI-powered solution for detecting coronary inflammation in cardiac CT scans. Dr. Keith Channon, cofounder and chief medical officer, discusses how Caristo uses AI to improve treatment plans and risk predictions by providing patient-specific readouts.
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