This research is just the first step on a long, exciting journey. We’re excited to keep testing and learning with our healthcare partners in pursuit of better, more accessible care for people everywhere. More on the blog today: microsoft.ai/new/the-path...

MAI-DxO in action, tackling one of those complex cases:

Agentic A.I. vs experienced physicians for diagnosis of > 300 complex diagnostic cases: 4-fold higher accuracy and 20% lower cost arxiv.org/abs/2506.22405

We're taking a big step towards medical superintelligence. AI models have aced multiple choice medical exams – but real patients don’t come with ABC answer options. Now MAI-DxO can solve some of the world’s toughest open-ended cases with higher accuracy and lower costs.

AI tools have a lot of potential to improve medicine and the healthcare landscape. But how are they regulated? And what does 'gold standard' evidence look like? @jessrmorley.bsky.social @xiaoliu.bsky.social @bmj.com www.bmj.com/content/389/...

AI in healthcare: what does good evidence and regulation look like?

Artificial intelligence is infiltrating medicine at many levels, from providing patients with medical advice and summarising patients’ notes to aiding diagnoses. Elisabeth Mahase looks at how the rese...

bmj.com

Our team at @unibirmingham.bsky.social have supported the UK National Screening Committee in the evidence approach for #AI in Diabetic Eye Screening over last few years. In this paper we outline the NSC's considerations for evaluating ARIAs in England. doi.org/10.1016/j.la...

Great to be at NICE Conference yesterday for a closing discussion on AI! Can we ensure evidence generation is as adaptive and intelligent as the technology, without compromising definitions of 'Safe, Effective and Equitable & do it in a way that is collaborative, transparent and trustworthy?

The recording of this talk on STANDING Together is available if you missed it! www.datadiversity.org

Joe Alderman@jaldmn.bsky.social · 2y ago

At a loose end this afternoon? Join @xiaoliu.bsky.social and I online at 1pm for a discussion about algorithmic bias and the STANDING Together recommendations The STANDING Together recommendations give guidance on how to minimise risk of bias in AI health technologies

@ai.nejm.org is now on bluesky! 🥳

📣 CANAIRI: the Collaboration for Translational AI Trials! Co lead @xiaoliu.bsky.social @naturemedicine.bsky.social Perhaps most important to AI translation is the local silent trial. Ethically, and from an evidentiary perspective, this is essential! url.au.m.mimecastprotect.com/s/pQSsClx14m...

CANAIRI - Collaboration for AI Translational Trials - takes flight!🪽 We will work together to define how to take a #sociotechnical approach to responsible #AI integration in healthcare. Spearheaded by my awesome co-lead @mdmccradden.bsky.social 🦜 nature.com/articles/s41...

CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare - Nature Medicine

Nature Medicine - CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare

nature.com

Hello there BlueSky, it's a great pleasure to be able to share a project our team has been working on these last three years! (Led by the venerable @xiaoliu.bsky.social) www.thelancet.com/journals/lan... 1/

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk of perpetuating existing health inequalities at scale. One major source of bias is the data that underpins such technologies. The STANDING Together recommendations aim to encourage transparency regarding limitations of health datasets and proactive evaluation of their effect across population groups. Draft recommendation items were informed by a systematic review and stakeholder survey.

thelancet.com

One of my biggest joys is seeing an entire community take a stand for something important. STANDING Together, recommendations for health data diversity and algorithmic bias is now published: an international effort involving >350 experts & 58 countries. www.thelancet.com/journals/lan...

Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations

Without careful dissection of the ways in which biases can be encoded into artificial intelligence (AI) health technologies, there is a risk of perpetuating existing health inequalities at scale. One major source of bias is the data that underpins such technologies. The STANDING Together recommendations aim to encourage transparency regarding limitations of health datasets and proactive evaluation of their effect across population groups. Draft recommendation items were informed by a systematic review and stakeholder survey.

thelancet.com

Only 9 algorithms submitted to the UK Gov's #AI public register so far. Including just 3 since 2022.

UK government failing to list use of AI on mandatory register

Technology secretary admits government departments are not being transparent over way they use AI and algorithms

theguardian.com

The MHRA has just announced 5 AI products for its Airlock (Regulatory Sandbox) programme. I’m on the governance board and am excited to see this take flight. The products include: - two LLM based devices - a platform - a personalised care product (breast cancer) - a risk prediction product (COPD)

“It’s the rhetoric of AI today that is about gaslighting humans into surrendering their own power and their own confidence in their agency and freedom. That’s the existential threat, because that’s what will enable humans to feel like we can just take our hands off the wheel and let AI drive.”

Shannon Vallor says AI does present an existential risk — but not the one you think

AI is not a “stochastic parrot,” It’s a mirror, says the philosopher.

vox.com

The #SAIL25 CALL FOR ABSTRACTS is now open! Join SAIL 2025 on May 6-9 in Río Grande, Puerto Rico! In-person attendance is limited to those with accepted work. NEJM_AI will award cash scholarships to the top abstracts. Travel support is also available. Submit here by January 17:

First up (led by Dr El Laws): www.clinicalimaging.org/article/S089... We show gaps in the #data landscape for #mammography, with demographic data often missing, and the entire continent of Africa excluded. This means the #datasets currently available do not represent most of the world.

Diversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic review

There are many radiological datasets for breast cancer, some which have supported the development of AI medical devices for breast cancer screening and image classification. This review aims to identi...

clinicalimaging.org

Hello Bluesky! It seems nicer here than in the other place 🥲 I'm Joe: a medical doctor & clinical researcher based in Birmingham, UK. I work with @xiaoliu.bsky.social & co. on all things #AI in #healthcare. We have a few papers coming out in the coming weeks. Below are a few from earlier this year

Excited to be speaking at #THISspace2024 tomorrow on Responsible data science and health innovation, hosted by @thisinstitute.bsky.social

THIS Institute (The Healthcare Improvement Studies Institute)@thisinstitute.cam.ac.uk · 2y ago

#THISspace2024 is taking place tomorrow. This online conference is free to attend and open to all who are interested in healthcare improvement. Sign up on our website before registration closes at 4pm today: ths.im/3zNtSut

We are launching a new MSc in #AI Implementation (Healthcare) programme at the University of Birmingham (UK) in 2025

Artificial Intelligence Implementation (Healthcare) MSc / PGDip - University of Birmingham

There is an urgent need for leaders of AI implementation across the healthcare workforce of the UK and worldwide. The MSc AI Implementation (Healthcare) programme is designed to address this need.

birmingham.ac.uk

J. Chris Pires@jchrispires.bsky.social · 3y ago

Make your own Google Scholar word cloud! (from shiny.rcg.sfu.ca/u/rdmorin/sc...) #Brassica #Plant #Genome #Evolution #Polyploidy #Phylogeny 🧪

The Sudlow Review resonates with Ada's research with @healthfoundation.bsky.social. The data 'pipeline' underpinning data-driven systems in healthcare is full of ‘knots’ which disrupt how well they work, creating systemic and unequal impacts on people. www.adalovelaceinstitute.org/report/knott...

A knotted pipeline

Data-driven systems and inequalities in health and social care

adalovelaceinstitute.org

This is an excellent starter pack for anyone in #Medsky looking to follow all the national bodies who have now joined Bluesky. go.bsky.app/a2U8nw

Gaps in health #data drives health #inequalities in an #AI and data-driven future. We wrote about this in NEJM AI and are working on it at STANDING Together: www.datadiversity.org

Recently we published this paper highlighting that publicly available #Covid19 imaging datasets are...a mess, re-used, mixed, not traceable and not very well documented.

Revealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic review

During the COVID-19 pandemic, artificial intelligence (AI) models were created to address health-care resource constraints. Previous research shows that health-care datasets often have limitations, le...

thelancet.com

Here's the Mystery AI Hype Theater 3000 starter pack! Includes past guests and friends of the show. @emilymbender.bsky.social @whatulysses.bsky.social go.bsky.app/3BjnHmd

I’ve started an AI in healthcare starter pack! Let me know who is missing. go.bsky.app/7PeNwep

Here’s your Vision Scientists Starter pack for Bsky. Lemme know who I’ve missed. go.bsky.app/3EWSGiv

Happy Friday new Bluesky friends, I’m off to hibernate and recharge for the weekend