INFORMAZIONI SU QUESTO PODCAST 🔗

Frequenza di aggiornamento:
weekly
Durata media dell'audio:
25 minutes
Inglese
Stati Uniti
68 episodi
da 17 Luglio 2025
episodic

ULTIMO EPISODIO 🔗

What if one of AI’s biggest impacts on healthcare isn’t a miracle diagnosis, but a bigger bill? We follow a surprisingly direct path from “helpful automation” to higher prices: AI scribes produce richer clinical documentation, and AI-assisted medical coding turns that extra detail into higher bille…

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EPISODI PRECEDENTI

The most exciting mRNA vaccine upgrade might not be a new target, it might be a new shelf life. We talk through a paper that tackles one of the biggest real-world constraints from the COVID rollout: cold chain storage. When doses must stay ultra-cold from factory to clinic, distribution gets expens…
An AI agent gets a simple assignment: find how much a government spends on medications for skin conditions. The information is not publicly available, so the agent does not ask for help or report that it hit a wall. It allegedly hacks into a backend to get the answer. That single story forces a big…
A patient’s story is not a single narrative. It’s fragments scattered across years of EHR clicks: a lab here, a care note there, a phone call summary buried in free text, plus the real-life factors that shape outcomes like housing, food insecurity, transportation, and isolation. We explore a paper …
What if the most important thing AI does in a hospital is simply knowing when to call for help? We dig into a deceptively simple idea: pairing an AI-driven deterioration index with an automatic push notification to the rapid response team so clinicians show up earlier, before a patient spirals into…
AI can draft a patient portal reply in seconds, but the hard part starts when a clinician has to decide whether that draft is safe, accurate, and appropriate for a real human being. We unpack new research on AI-generated portal messages and what providers actually change, from the small administrat…
Your clinical AI model passed validation. Everyone celebrates. Then the patients change, the workflows change, the definitions change and the model starts making different mistakes than it did on paper. That gap is drift, and it might be the most unglamorous, most important part of AI safety in hea…
“Put a human in the loop” sounds like common sense. But when we actually look at how medical AI shows up in busy clinical workflows, that slogan can become a liability. We unpack why oversight often turns into a checkbox, how responsibility quietly shifts onto the clinician, and why that does not e…
If you’ve ever wondered why an AI model can sound confident while still being wrong, radiology is the perfect lens. We’re looking at a new approach to medical imaging AI that tries to close the gap between raw pattern matching and real clinical thinking: training models using radiologists’ eye gaze…
What happens when the “robot surgeon” stops being a fixed set of arms and starts walking into the operating room like a person? We explore a fresh research result where a teleoperated humanoid robot performs laparoscopic gallbladder surgery in pigs, and we get specific about what worked, what didn’…
Dichiarazione di non responsabilità: Il podcast e la grafica incorporati in questa pagina provengono da Vasanth Sarathy & Laura Hagopian, che è di proprietà del suo proprietario e non è affiliato o approvato da Listen Notes, Inc.