AI Is Reading 15 Million X-Rays a Year With No Human in the Loop | Prashant Warier, Qure.ai
Eye On A.I.20 Kesä

AI Is Reading 15 Million X-Rays a Year With No Human in the Loop | Prashant Warier, Qure.ai

Eighty percent of lung cancer cases are diagnosed too late, not because the signals aren't there, but because nobody was looking at the right moment. Prashant Warier, co-founder and CEO of Qure.ai, joins Craig Smith to explain how his company is changing that using a tool most people already encounter: the routine chest X-ray. Cure's Lung Nodule Malignancy Risk Score - validated in the CREATE study - analyzes X-rays people get for unrelated reasons, identifies high-risk nodules, and flags which patients need follow-up CT scans. The result is a detection rate of 54 positive patients out of 100 flagged as high-risk, compared to the 2 out of 100 found by standard CT screening programs. That's not a marginal improvement. That's a different category of outcome.

The conversation covers the full landscape of where AI diagnostics actually stands today: the 15 million TB screening X-rays that Cure reads autonomously every year across 70 countries with no radiologist in the loop, because in many of those countries there are only two radiologists for the entire nation; the 26 FDA clearances and 200-plus published studies that underpin the company's clinical credibility; and the regulatory barriers that currently prevent patients from uploading their own scans and getting an AI read directly. Warier also makes his sharpest prediction: within 5 to 10 years, primary care will be AI-first, the first conversation you have when something feels wrong won't be with a doctor, it will be with an AI. Based on what Cure is already doing at scale today, that timeline is harder to dismiss than it might sound.

Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(385)

The Coordination Tax: Why AI Is Burning Out Your Best People | Dan O'Connell, Front

The Coordination Tax: Why AI Is Burning Out Your Best People | Dan O'Connell, Front

Everyone assumes AI in customer operations means fewer people and lower costs. The data from 700 customer operations leaders is more complicated, and more honest. Dan O'Connell, CEO of Front, joins Cr...

6 Loka 51min

Ukraine's Secret Weapon: The Points System Winning the Drone War | Andrii Hrytseniuk

Ukraine's Secret Weapon: The Points System Winning the Drone War | Andrii Hrytseniuk

Ukraine tracks every confirmed drone kill with video evidence, deduplicates the data to prevent double-counting, converts verified strikes into e-points, and delivers newly ordered weapons to frontlin...

2 Loka 33min

Why Current AI Cannot Be Conscious | Dr. Christof Koch

Why Current AI Cannot Be Conscious | Dr. Christof Koch

One in four patients currently being considered for life support withdrawal may actually be fully conscious, they just can't signal it. That single finding, from a landmark New England Journal of Medi...

30 Syys 1h 1min

The Technology for Fully Autonomous Attack Is Already Here | Alex Liannyi, NORDA Dynamics

The Technology for Fully Autonomous Attack Is Already Here | Alex Liannyi, NORDA Dynamics

The AI systems guiding Ukrainian combat drones aren't running on expensive Nvidia chips. They're running on a Raspberry Pi Zero - a $15 hobby computer - and that single detail tells you more about how...

24 Syys 19min

Inside Ukraine's Drone War: Maj. "Phoenix" of Lasar's Group

Inside Ukraine's Drone War: Maj. "Phoenix" of Lasar's Group

The first armed drone Ukraine ever fielded wasn't built in a factory or procured from a defense contractor. It was built in four months by a network engineer using a Starlink terminal and a large agri...

21 Syys 1h 5min

The Hidden Algorithm That Decides Which Software AI Will Recommend | Tim Sanders, G2

The Hidden Algorithm That Decides Which Software AI Will Recommend | Tim Sanders, G2

Most companies investing in AI visibility are optimizing for the wrong thing. Being cited by an AI response and being recommended by an AI response are completely different outcomes, with click-throug...

14 Syys 58min

The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi

The Reason 30 Years of Cybersecurity Has Failed - and What Actually Fixes It | Trent Telford, Qanapi

Every major data breach in the last 30 years shares the same root cause: the data inside the wall was never protected, only the wall. And AI frontier models are now making that wall easier to breach t...

10 Syys 55min

86% of What Coding Agents Do Is Just Reading — Not Solving | Alexander Whedon of Subquadratic

86% of What Coding Agents Do Is Just Reading — Not Solving | Alexander Whedon of Subquadratic

Every AI model in production today has the same hidden tax: doubling the context window quadruples the compute. That's what quadratic compute complexity means in practice, and it's the reason enterpri...

8 Syys 54min