Digital twins—AI-powered models based on individual health data—are poised to transform how healthcare predicts, treats, and personalizes care. But Jason Alan Snyder, a technologist and futurist, raises powerful ethical and technical concerns about how these systems are being deployed today. Built from EHRs, lab results, wearables, and even genomics, these digital representations can simulate decisions and even replace human judgment. Yet they are often created without consent or clarity. In this clip, Snyder urges healthcare leaders to reclaim agency over the design and governance of these digital surrogates, emphasizing that the future of AI in healthcare must be rooted in truth, transparency, and trust.
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AI and Medical Innovation
In this compelling conversation, Dr. David Fajgenbaum describes how his team uses a platform called Matrix, powered by a biomedical knowledge graph, to scan all known relationships between drugs, diseases, and genes. The goal? To apply AI for healthcare data analysis in identifying potential treatments, some of which had been previously overlooked or discarded due to lack of profitability. One powerful example includes the identification of a TNF inhibitor for Castleman disease that led to a lifesaving intervention. Dr. Fajgenbaum emphasizes how this technology doesn't just discover new solutions but also revalidates forgotten ones, shedding light on opportunities to repurpose existing drugs. This showcases the transformative potential of AI predictive analytics in healthcare.
In this insightful interview, Dr. Debra Patt shares how AI applications in healthcare are transforming the daily realities of clinical care. As a breast medical oncologist and health policy leader, she describes the power of ambient AI scribe technology, which reduces administrative burdens and improves patient communication by instantly generating visit notes. She outlines specific benefits—from more accurate ICD-10 coding to enhanced decision-making in cancer care—that not only help providers get patients the right treatment faster, but also streamline billing and prior authorization. Her perspective offers a grounded, real-world view of "what are the applications of AI in healthcare" today, especially for oncology practices navigating high patient loads and value-based care demands.
Inside Surgical AI: How Artificial Intelligence Is Enhancing Breast-Conserving Surgery
Discover how Inside Surgical AI reveals the practical use of artificial intelligence to reduce repeat surgeries, improve precision, and optimize outcomes in breast-conserving cancer care.
- Adrian Mendes, CEO of Perimeter Medical Imaging, shares insights from 1,700+ surgical cases
- Learn how OCT imaging and AI assist margin assessment
- Understand the cost savings and payer appeal
- Explore broader impact on access to care in underserved regions
Watch now to see how surgical AI delivers real clinical value.
AI Agents Explained: In this expert-led interview, Dr. Harvey Castro breaks down how AI agents are reshaping clinical workflows, accelerating decisions, and improving outcomes in real healthcare settings.
- Understand what “agentic AI” really means for healthcare
- Learn how digital twins support personalized care
- Explore whether to build or buy AI systems
- Discover real use cases from emergency rooms to telehealth
Dr. Castro offers actionable insights and real-world clarity. Watch now to see where clinical innovation is heading.
AI is transforming healthcare by finding life-saving treatments hidden within existing drugs. Dr. David Fajgenbaum shares how his nonprofit Every Cure is uncovering overlooked therapies with AI.
- How drug repurposing works
- Why financial barriers stall discoveries
- How AI-driven prediction models find treatments
- The role of open-source data in healthcare
Discover how innovation and action can save lives. Watch now to see why AI matters.
What if your smartwatch could spot a heart issue before symptoms start? Dr. Euan Ashley shares how AI and wearables like the Apple Watch are shifting healthcare from reactive to proactive, catching conditions early, redefining “normal,” and freeing doctors to focus more on patients. From silent strokes to personalized prevention, this is a look at the future of medicine, and what your heart might already be telling you.
Dr. Sanjay Juneja and Dr. Azra Raza discuss AI and technology’s role in early cancer detection. Dr. Raza shares insights on continuous monitoring, innovative screening, and the shift to detecting cancer at the "first cell stage." She explores her journey from pediatric oncology to building a vast tissue repository and how AI-powered implantable devices could transform healthcare. This episode highlights the need for proactive cancer care and a focus on early detection.
Mika Newton and Tom Neyarapally discuss how AI is changing the landscape of drug discovery. They examine the role of machine learning, patient data, and computational tools in accelerating the process, reducing costs, and improving the chances of developing effective treatments. The conversation covers how AI-driven screening, drug repurposing, and real-world data integration are helping to overcome traditional challenges in bringing new therapies to patients faster.
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