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Xiao Liu

@xiaoliu.bsky.social
3.3K followers 224 following 37 posts

Health at Microsoft AI Deputy Editor @ai.nejm.org Hon Associate Professor @unibirmingham.bsky.social Prev Apple, Prev ophthalmology doctor in the NHS

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Xiao Liu @xiaoliu.bsky.social · 11/11/2025
They're mentioned in the first sentence by name...
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Xiao Liu @xiaoliu.bsky.social · 11/11/2025
I'm delighted Laura has driven this momentous effort and am so excited to hear her speak at the event. As someone who often is that token, last minute, diversity invite to a manel, I appreciate the sentiment and there are indeed times for calling this out. But I don't think that's the case here.
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Xiao Liu @xiaoliu.bsky.social · 11/11/2025
That's not what I got from the invite, which I assume is the same as yours. The first line starts with 'My name is Laura Ryan...the lead author of a new report...' and only later mentions a bunch of (yes) male speakers. But the person leading the effort is clearly a woman.
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Mustafa Suleyman @mustafasuleymanai.bsky.social · 30/06/2025
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...
microsoft.ai
The Path to Medical Superintelligence  | Microsoft AI
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Mustafa Suleyman @mustafasuleymanai.bsky.social · 30/06/2025
MAI-DxO in action, tackling one of those complex cases:
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Eric Topol @erictopol.bsky.social · 30/06/2025
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
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Mustafa Suleyman @mustafasuleymanai.bsky.social · 30/06/2025
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.
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Elisabeth Mahase @emahase.bsky.social · 07/04/2025
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/...
bmj.com
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...
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Xiao Liu @xiaoliu.bsky.social · 04/04/2025
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...
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Xiao Liu @xiaoliu.bsky.social · 28/03/2025
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?
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Xiao Liu @xiaoliu.bsky.social · 28/03/2025
The recording of this talk on STANDING Together is available if you missed it! www.datadiversity.org
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Xiao Liu @xiaoliu.bsky.social · 31/01/2025
@ai.nejm.org is now on bluesky! 🥳
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Melissa McCradden @mdmccradden.bsky.social · 06/01/2025
📣 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...
url.au.m.mimecastprotect.com
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Xiao Liu @xiaoliu.bsky.social · 08/01/2025
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...
nature.com
CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare - Nature Medicine
Nature Medicine - CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare
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Joe Alderman @jaldmn.bsky.social · 18/12/2024
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/
thelancet.com
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.
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Xiao Liu @xiaoliu.bsky.social · 19/12/2024
Published in The Lancet Digital Health and NEJM AI, and a core part of this project - the patient and public's perspective in Nature Medicine: tinyurl.com/standingnejm... www.nature.com/articles/s41...
tinyurl.com
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. O...
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Xiao Liu @xiaoliu.bsky.social · 19/12/2024
youtu.be/dVpSh_7NpR8
youtu.be
Founders' Awards 2024 - The Standing Together team | University of Birmingham
YouTube video by University of Birmingham
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Xiao Liu @xiaoliu.bsky.social · 19/12/2024
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...
thelancet.com
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.
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Xiao Liu @xiaoliu.bsky.social · 04/12/2024
Only 9 algorithms submitted to the UK Gov's #AI public register so far. Including just 3 since 2022.
theguardian.com
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
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Xiao Liu @xiaoliu.bsky.social · 04/12/2024
www.gov.uk/government/n...
gov.uk
MHRA trials five innovative AI technologies as part of pilot scheme to change regulatory approach
The pilot scheme, AI Airlock, is designed to help test and improve the rules for AI-powered medical devices to ensure they reach patients quickly, safely and effectively.
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Xiao Liu @xiaoliu.bsky.social · 04/12/2024
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)
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Hypervisible @hypervisible.blacksky.app · 01/12/2024
“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.”
vox.com
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.
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Xiao Liu @xiaoliu.bsky.social · 28/11/2024
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:
sail.health
Participate – SAIL: Symposium on Artificial Intelligence for Learning Health Systems
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Joe Alderman @jaldmn.bsky.social · 27/11/2024
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.
clinicalimaging.org
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...
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Joe Alderman @jaldmn.bsky.social · 27/11/2024
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
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Xiao Liu @xiaoliu.bsky.social · 25/11/2024
Excited to be speaking at #THISspace2024 tomorrow on Responsible data science and health innovation, hosted by @thisinstitute.bsky.social
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Xiao Liu @xiaoliu.bsky.social · 23/11/2024
This MSc is for anyone from a clinical, technical, or operational background. It will prepare you to lead multidisciplinary teams to deliver AI-enabled benefits to patients and services.
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Xiao Liu @xiaoliu.bsky.social · 23/11/2024
We are launching a new MSc in #AI Implementation (Healthcare) programme at the University of Birmingham (UK) in 2025
birmingham.ac.uk
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.
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Xiao Liu @xiaoliu.bsky.social · 22/11/2024
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Xiao Liu @xiaoliu.bsky.social · 22/11/2024
Data with no or almost no documentation, being forced to make a bunch of assumptions about how the data came about, then realising they probably weren’t true later
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Ada Lovelace Institute @adalovelaceinst.bsky.social · 20/11/2024
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...
adalovelaceinstitute.org
A knotted pipeline
Data-driven systems and inequalities in health and social care
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Rob Fleming @robjimfleming.bsky.social · 20/11/2024
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
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Xiao Liu @xiaoliu.bsky.social · 20/11/2024
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
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Xiao Liu @xiaoliu.bsky.social · 20/11/2024
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.
thelancet.com
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...
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Xiao Liu @xiaoliu.bsky.social · 18/11/2024
Thanks! 🦋
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Xiao Liu @xiaoliu.bsky.social · 17/11/2024
Nice! Could I be added please?
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Alex Hanna @alexhanna.bsky.social · 15/11/2024
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
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Roxana Daneshjou, MD, PhD @roxanadaneshjou.bsky.social · 08/11/2024
I’ve started an AI in healthcare starter pack! Let me know who is missing. go.bsky.app/7PeNwep
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BWJones @bwjones.bsky.social · 19/10/2024
Here’s your Vision Scientists Starter pack for Bsky. Lemme know who I’ve missed. go.bsky.app/3EWSGiv
Vision scientists starter pack.
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Xiao Liu @xiaoliu.bsky.social · 15/11/2024
Happy Friday new Bluesky friends, I’m off to hibernate and recharge for the weekend
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Keith Grimes @keithgrimes.bsky.social · 14/11/2024
Accidentally deleted post! Fun fact: 1% of greenhouse gas emissions come from Medical Imaging Also Latest SomX podcast covers sustainability in healthcare well podcasts.apple.com/gb/podcast/h...
podcasts.apple.com
Why we need system-level change for better population health
Podcast Episode · Healthtech Pigeon · 10/11/2024 · 1h 58m
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Keith Grimes @keithgrimes.bsky.social · 14/11/2024
@xiaoliu.bsky.social latest Healthtech pigeon podcast covers sustainability in healthcare well @gareththompson.bsky.social podcasts.apple.com/gb/podcast/h...
podcasts.apple.com
Why we need system-level change for better population health
Podcast Episode · Healthtech Pigeon · 10/11/2024 · 1h 58m
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Xiao Liu @xiaoliu.bsky.social · 14/11/2024
Louis Horsley, National Voices: Main concern from #patients = changing nature of patient/clinician relationship, potential to entrench health #inequalities, particular concern for vulnerable and marginalised groups, patients with more complex needs
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Xiao Liu @xiaoliu.bsky.social · 14/11/2024
My talk had one message "AI without monitoring is AI at-risk". We need more NHS system readiness investment. I'm excited that we will start work on defining what organisational AI readiness looks like.
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Xiao Liu @xiaoliu.bsky.social · 14/11/2024
Dr Rishi Das-Gupta, Health Innovation Network: companies finding it harder to 'deploy' (sell) in NHS if it includes the word 'AI', encouraging impact focused assessment, highlighting commercial sustainability as a problem with AI in NHS
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Xiao Liu @xiaoliu.bsky.social · 14/11/2024
Glad this is coming up in Q&A: How do we ethically justify the use of energy-intensive AI technologies in health, particularly as we strive to reduce overall consumption? Climate deterioration is a health disaster. Are we, in effect, robbing Peter to pay Paul?
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Xiao Liu @xiaoliu.bsky.social · 14/11/2024
Rob Turin, BSI: BS30440 standards were developed for AI validation. Good start when we had nothing to work on, but long term impact of standard - TBD.
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Xiao Liu @xiaoliu.bsky.social · 14/11/2024
Jamie Foster, Hill Dickinson: From legal POV, seeing more issues with adoption than regulation (no surprise), UK seen as more permissible environment than EU for AI development; manufacturers struggling to contract with NHS or private providers (spoiler: medical device regs not the problem)
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Xiao Liu @xiaoliu.bsky.social · 14/11/2024
Alastair Denniston, UoBirmingham: Regulatory updates needed to meet challenges of algorithmic bias, generalisability gaps, transparency and blurring of existing definitions within medical device by generative AI.
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Xiao Liu @xiaoliu.bsky.social · 14/11/2024
Russell Pearson from MHRA - MHRA has published tonnes of guidance already and more to come. Alignment amongst regulators (internationally) important. Do check out AIDRS (UK multi-regulator forum). And #AI Airlock (exciting and important) - sandbox exploring novel regulatory challenges posed by AI .
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