RT @AmericaRpts: Dr. Adam Oskowitz and @mattpavelle , co-founders of.@DoctronicAI join @SandraSmithFox to discuss how A.I. is being used fo….

The first-ever large-scale validation of an autonomous AI doctor (@DoctronicAI) is here (preprint):.500 real urgent care cases:. - 81% diagnostic match. - 99% treatment alignment. - Zero hallucinations.And when experts reviewed disagreements, @DoctronicAI was superior more often.

WSJ reports insurers missing numbers across the board: "The one thing Wall Street hates more than anything is uncertainty." This isn't failure - it's transformation calling. Smart insurers will partner with AI to reduce unnecessary ER visits, improve triage, and create.

$1 trillion in Medicaid, 17% of GDP on healthcare, yet coverage is shrinking. As WSJ notes: "Surging medical costs are outpacing what the government is willing to pay." Technology can deliver better care at lower cost. What if we could help insurers serve more people while.

BYD: from clunkers to world-beaters in 20 years. The secret? Own everything from batteries to software. We debate tariffs while they build the future. Can we remember how to play offense?

RT @simonw: Whoa, here's that 1T model running on two 512GB M3 Mac Studios wired together with MLX.

RE Apple Watches, Sleep Focus, and timezones when traveling. I have two Apple Watches, I use the older one mainly when exercising. I usually take one when I travel. When in a different timezone (with all traveling devices updated to that timezone) and wearing one watch while.

Traditional healthcare is struggling with scale. WSJ: "Medical usage has surged and become more volatile in the postpandemic landscape." When insurers can't predict costs and patients lose coverage, everyone loses. The opportunity? AI-driven care that makes quality healthcare.

"Move fast and break things" doesn't work in healthcare (maybe it doesn't really work anywhere, but that's an aside). "Move slow and miss opportunities" also doesn't work. Regulatory sandboxes offer another way: safe spaces to test AI doctors with real patients, real outcomes,.

From earlier this year: - is this trend driven by AI? Will it continue? Thus is AI going to be considered a "general-purpose technology"? (I think yes)

"Context engineering" is a more apt term than "prompt engineering" (agree with @tobi). Let's replace the term "agents" next (per @simonw). That term is misused enough to be meaningless. What are better terms?. Here are some terms we're using @DoctronicAI - anyone want to give.

Public-private partnerships in healthcare AI aren't just nice to have, they are essential. Governments define the safety rails. Industry drives the innovation. Together, they can create AI systems that patients trust and doctors rely on. Neither can do it alone. I don't think it.

Here's another amazing image - again from the @nytimes - 35 years none of the top employers in ANY states we healthcare - now look.

From the @nytimes today. We need to stop this. Healthcare costs need to go down while we increase quality of care. AI will do this.

The gap between AI innovation and healthcare regulation is creating a two-speed world: countries with adaptive frameworks surge ahead while others fall behind. We can't let regulatory fragmentation become healthcare inequality. Time for global standards that work everywhere. Why.

Trust in AI healthcare can't be a one-time certification, and it should probably be multi-level. Post-market surveillance lets AI systems prove their worth in real-world conditions, getting smarter and safer over time. When technology evolves, so should our approach to validating.

Many healthcare regulations were built for static products: pills that don't change, devices that have multi-year development cycles. But AI doctors can learn and evolve with every patient interaction. The World Economic Forum just released a framework showing how regulatory.

Here's what doesn't add up: 69% of insurers say new medical tech is their top cost driver, while 80% of hospitals deploy AI to enhance efficiency. The industry is automating everything except affordability. The disconnect is staggering. Medical costs will rise 10.4% globally in.

Medical care drives only 20% of health outcomes but is 100% of traditional healthcare focus. What is the other 80%? Social factors? What if healthcare could treat the whole person, not just the symptoms? What does that look like? How does it function?.

Healthcare's $431B AI revolution is here, but 64% of insurers predict "significantly higher" medical costs anyway. Is technology that should reduce costs is driving them up? Let's build AI that breaks this cycle by making care accessible before it becomes expensive.