Xiao Liu
@xiaoliu.bsky.social
Health at Microsoft AI
Deputy Editor @ai.nejm.org
Hon Associate Professor @unibirmingham.bsky.social
Prev Apple, Prev ophthalmology doctor in the NHS
Deputy Editor @ai.nejm.org
Hon Associate Professor @unibirmingham.bsky.social
Prev Apple, Prev ophthalmology doctor in the NHS
Reposted by Xiao Liu
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...
The Path to Medical Superintelligence | Microsoft AI
microsoft.ai
June 30, 2025 at 1:01 PM
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...
Reposted by Xiao Liu
MAI-DxO in action, tackling one of those complex cases:
June 30, 2025 at 1:01 PM
MAI-DxO in action, tackling one of those complex cases:
Reposted by Xiao Liu
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
4-fold higher accuracy and 20% lower cost arxiv.org/abs/2506.22405
June 30, 2025 at 1:34 PM
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
4-fold higher accuracy and 20% lower cost arxiv.org/abs/2506.22405
Reposted by Xiao Liu
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.
June 30, 2025 at 1:01 PM
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.
Reposted by Xiao Liu
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/...
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...
www.bmj.com
April 7, 2025 at 4:17 PM
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/...
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/...
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...
In this paper we outline the NSC's considerations for evaluating ARIAs in England.
doi.org/10.1016/j.la...
April 4, 2025 at 6:56 AM
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...
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?
March 28, 2025 at 9:47 AM
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?
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
The STANDING Together recommendations give guidance on how to minimise risk of bias in AI health technologies
Tackling algorithmic bias by promoting transparency in health datasets (The STANDING Together recommendations)
Health data is highly complex and can be challenging to interpret without knowing the context in which it was created. Data biases can be encoded into
aiforgood.itu.int
March 28, 2025 at 9:43 AM
Reposted by Xiao Liu
📣 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...
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
January 6, 2025 at 10:36 PM
📣 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...
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...
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
January 8, 2025 at 7:36 PM
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...
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...
Reposted by Xiao Liu
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/
(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.
www.thelancet.com
December 18, 2024 at 5:35 PM
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/
(Led by the venerable @xiaoliu.bsky.social)
www.thelancet.com/journals/lan...
1/
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...
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.
www.thelancet.com
December 19, 2024 at 12:31 PM
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...
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...
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
www.theguardian.com
December 4, 2024 at 11:39 PM
Only 9 algorithms submitted to the UK Gov's #AI public register so far. Including just 3 since 2022.
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)
The products include:
- two LLM based devices
- a platform
- a personalised care product (breast cancer)
- a risk prediction product (COPD)
December 4, 2024 at 8:32 PM
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)
The products include:
- two LLM based devices
- a platform
- a personalised care product (breast cancer)
- a risk prediction product (COPD)
Reposted by Xiao Liu
“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.
www.vox.com
December 1, 2024 at 3:14 AM
“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.”
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:
NEJM_AI will award cash scholarships to the top abstracts. Travel support is also available. Submit here by January 17:
Participate – SAIL: Symposium on Artificial Intelligence for Learning Health Systems
sail.health
November 28, 2024 at 10:08 AM
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:
NEJM_AI will award cash scholarships to the top abstracts. Travel support is also available. Submit here by January 17:
Reposted by Xiao Liu
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.
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...
www.clinicalimaging.org
November 27, 2024 at 1:45 PM
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.
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.
Reposted by Xiao Liu
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
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
November 27, 2024 at 1:45 PM
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
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
November 25, 2024 at 10:02 AM
Excited to be speaking at #THISspace2024 tomorrow on Responsible data science and health innovation, hosted by @thisinstitute.bsky.social
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.
www.birmingham.ac.uk
November 23, 2024 at 1:15 PM
We are launching a new MSc in #AI Implementation (Healthcare) programme at the University of Birmingham (UK) in 2025
Reposted by Xiao Liu
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
www.adalovelaceinstitute.org
November 20, 2024 at 2:17 PM
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...
Reposted by Xiao Liu
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
go.bsky.app/a2U8nw
November 20, 2024 at 5:41 PM
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
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
November 20, 2024 at 2:59 PM
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