My thoughts @kffhealthnews.org on the proposed dismantling of AHRQ We need safety research to protect our patients from harms in health care. No organization in the world does more for that than AHRQ. Let the general public know. kffhealthnews.org/news/article...

What’s Lost: Trump Whacks Tiny Agency That Works To Make the Nation's Health Care Safer - KFF Health News

The Agency for Healthcare Research and Quality helped improve health care safety in a country where thousands die of medical errors each year. It was effectively dissolved Tuesday.

kffhealthnews.org

“Apple is not the laggard in AI. AI is the laggard in AI.” edition.cnn.com/2025/03/27/t...

Apple’s AI isn’t a letdown. AI is the letdown | CNN Business

Apple has been getting hammered in tech and financial media for its uncharacteristically messy foray into artificial intelligence. After a June event heralding a new AI-powered Siri, the company has d...

edition.cnn.com

What does the 2025-26 Federal Budget mean for Australia’s investment in healthcare AI? aihealthalliance.org/2025/03/28/w...

In a new paper in Machine Learning, we recast AI explanation as a conversation between AI and human, allowing the explanation to be tailored fit the knowledge and needs of a human (or requesting AI agent) link.springer.com/article/10.1...

A model for intelligible interaction between agents that predict and explain - Machine Learning

Machine Learning (ML) has emerged as a powerful form of data modelling with widespread applicability beyond its roots in the design of autonomous agents. However, relatively little attention has been ...

link.springer.com

US NIH Grant review panels are suspended, and a freeze imposed on travel, communication with the public, hiring .... www.science.org/content/arti...

Trump hits NIH with ‘devastating’ freezes on meetings, travel, communications, and hiring

Researchers facing

science.org

There is a growing US push for clinical AI safety to be certified by academic assurance labs rather than the FDA. But there are many challenges - conflicts of interest via industry funding to universities, scaleability, and suitability to post-market monitoring. link.springer.com/article/10.1...

The Challenges of Establishing Assurance Labs for Health Artificial Intelligence (AI) - Journal of Medical Systems

Journal of Medical Systems -

link.springer.com

TRIPOD-LLM is out! Check out our consensus guidelines for reporting #LLM research in biomedicine. TRIPOD-LLM is intended to be a living guideline to keep up with the rapid advances in LLMs. Kudos to lead author Dr. Jack Gallifant

“While the study doesn't identify a lower bound, it does show that by the time misinformation accounts for 0.001 percent of the training data, the resulting LLM is compromised.”

It’s remarkably easy to inject new medical misinformation into LLMs

Changing just 0.001% of inputs to misinformation makes the AI less accurate.

arstechnica.com

[New digital scribe paper] Expert evaluation of large language models for clinical dialogue summarization www.nature.com/articles/s41... In this study with @dafraile.bsky.social ChatGPT's ability to summarise primary care consultations was impressive but not yet at human skill level.

Who should certify health AI is safe? There is a push in the US for it not to be the FDA but instead, the industry that manufactures the technology. Do we have good examples of high risk technology applications where there has been effective self regulation? www.politico.com/news/2025/01...

The government can’t ensure artificial intelligence is safe. This man says he can.

Brian Anderson is ready to shape the future of AI in health care — if Donald Trump will let him.

politico.com

How to get a PhD in 20 Tweets (Part 1) Source: blogs.bmj.com/bmj/2012/02/...

Just one more damn thing to add into the polycrisis mix: ‘Unprecedented risk’ to life on Earth: scientists call for halt on ‘mirror life’ microbe research. www.theguardian.com/science/2024...

‘Unprecedented risk’ to life on Earth: Scientists call for halt on ‘mirror life’ microbe research

Experts warn that mirror bacteria, constructed from mirror images of molecules found in nature, could put humans, animals and plants at risk of lethal infections

theguardian.com

"The important thing is that paper makes it very clear that nobody should ever take LLMs at their word. They can easily tell you one thing and (especially if hooked up as agents) do another — possibly quite contrary to what they have alleged they are doing." - Gary Marcus, from the linked substack.

Gary Marcus@garymarcus.bsky.social · 2y ago

I am generally not a doomer-extinction still strikes me as a remote risk—but this new paper is definitely a wakeup call with respect to how bad actors could exploit LLMs in serious ways, causing a great deal of harm. open.substack.com/pub/garymarc...

And for fun, here is one from the vault circa 2004: "Four rules for the reinvention of health care" www.bmj.com/content/328/...

Can we design health services to resiliently respond to crises like climate change? In this paper we show innovation during COVID-19 depended on repurposing existing services into new "Innovation bundles". So should we should design "health services as platforms"? link.springer.com/article/10.1...

Innovation bundles and platforms – a qualitative analysis of health system responses to the COVID-19 pandemic - BMC Health Services Research

Background Health systems underwent substantial changes to respond to COVID-19. Learning from the successes and failures of health system COVID-19 responses may help us understand how future health se...

link.springer.com

The 4 stages of digital scribes 1. Human led documentation 2. Mixed-initative documentation 3. Computer-led documentation 4. Intelligent clinical environment How long until we work in smart, sensor dense, clinical spaces where documentation disappears as a human task? www.nature.com/articles/s41...

The digital scribe - npj Digital Medicine

npj Digital Medicine - The digital scribe

nature.com

Interesting discussions on today's CIEHF webinar launching the new human-centred healthcare AI guidance. Questions around relying on AI vs monitoring the outputs critically. And what users need to know - and who's going to support them. ergonomics.org.uk/resource/int...

New research from @aidybarnett.bsky.social shows published AUC values for some clinical prediction models are are over-inflated with excesses above 0.7, 0.8 and 0.9 and shortfalls below these thresholds, risking sub-optimal decisions bmcmedicine.biomedcentral.com/articles/10....

AI in health: A little less conversation, a little more action please! How far have we progressed the AI in healthcare policy agenda over the last 12 months? More than we expected at the time, but there is so much still to do. www.medicalrepublic.com.au/ai-in-health...

AI in health: a little less conversation, a little more action, please - Medical Republic

While 2024 was a great year for consultation regarding the use of AI in healthcare, one expert feels 2025 needs to focus on translating these words into actions.

medicalrepublic.com.au

AI in health: A little less conversation, a little more action please! How far have we progressed the AI in healthcare policy agenda over the last 12 months? More than we expected at the time, but there is so much still to do. www.medicalrepublic.com.au/ai-in-health...

AI in health: a little less conversation, a little more action, please - Medical Republic

While 2024 was a great year for consultation regarding the use of AI in healthcare, one expert feels 2025 needs to focus on translating these words into actions.

medicalrepublic.com.au

“What would things look like in a zero standards world? .. from the perspective of an autonomous and adaptive entity, we would see standards for what they are - a workaround when entities cannot adapt.” academic.oup.com/jamia/articl...

When the clinical use of AI leads to patient harms, medico legal responsibility should not just fall on the shoulders doctors but all those who can manage or mitigate risk - including software developers. (Tracey Pickett, Avant) #aicare24

Kicking things off with @ecoiera.bsky.social at today’s health AI conference in Melbourne. Very useful scorecard and update on progress in AI for health in the last year. (Spoiler - it’s a lot of activity!) #digitalhealth

A vertical takeoff of life science with #AI LLLMs. Publication of 10 new foundation models of Proteins, DNA, RNA, methylation, cells, and interactions, evolution, and design in the past couple of weeks! Unprecedented progress, reviewed in the new Ground Truths erictopol.substack.com/p/learning-t...

Use this starter pack to follow medical informatics leaders on BlueSky go.bsky.app/9FPTN8E

Hello from me, here's a quick introduction. I'm a Scottish- Australian writer of books and websites. Latest book is Going Under, a memoir of family secrets, addiction and escape, published recently by Ventura Press. Also made the podcast The Publisher & The Writer this year, more coming 2025.

“It will not be a defence to say that it was produced by an AI scribe.”

@themedicalrepublic.bsky.social · 2y ago

Here’s what an MDO lawyer says about AI scribes (Avant Mutual), by @hollypayne.bsky.social. AI-powered scribes are taking the consult room by storm, but there are some “big red flags” to keep an eye on. www.medicalrepublic.com.au/heres-what-a... #medsky #AI #medtech #technology

the unchecked growth of generative #AI poses a serious threat to global efforts to reduce energy consumption and combat climate change is it too late? what can we do to mitigate? handyai.substack.com/p/energy-glu...

Energy gluttony in the AI age

The dangerous appetite of large language models

handyai.substack.com

Elon Musk asked X users to submit X-rays, MRIs, CT scans and other medical images to Grok, the platform’s A.I. chatbot, with the hope that if enough users feed the tool with their scans, it will eventually get good at interpreting them accurately.

Elon Musk Asked People to Upload Their Health Data. X Users Obliged

Privacy experts cringed when people started feeding their medical images to the A.I. tool Grok.

nytimes.com

Next week at ai.care in Melbourne I will review progress over the last 12 months in meeting the recommendations of the Australian AI Healthcare Policy Roadmap (aihealthalliance.org/2023/11/16/a...). What do you think have been the big wins? Where can we do better?