Xiao Liu @xiaoliu.bsky.social · 11/11/2025I'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. 210
Xiao Liu @xiaoliu.bsky.social · 11/11/2025That'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. 100
Reposted by Xiao LiuMustafa Suleyman @mustafasuleymanai.bsky.social · 30/06/2025This 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.aiThe Path to Medical Superintelligence | Microsoft AI 062
Reposted by Xiao LiuMustafa Suleyman @mustafasuleymanai.bsky.social · 30/06/2025MAI-DxO in action, tackling one of those complex cases: 131
Reposted by Xiao LiuEric Topol @erictopol.bsky.social · 30/06/2025Agentic 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 108326
Reposted by Xiao LiuMustafa Suleyman @mustafasuleymanai.bsky.social · 30/06/2025We'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. 2176
Reposted by Xiao LiuElisabeth Mahase @emahase.bsky.social · 07/04/2025AI 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.comAI 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... 073
Xiao Liu @xiaoliu.bsky.social · 04/04/2025Our 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... 110
Xiao Liu @xiaoliu.bsky.social · 28/03/2025Great 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? 000
Xiao Liu @xiaoliu.bsky.social · 28/03/2025The recording of this talk on STANDING Together is available if you missed it! www.datadiversity.org 000
Reposted by Xiao LiuMelissa 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 1135
Xiao Liu @xiaoliu.bsky.social · 08/01/2025CANAIRI - 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.comCANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare - Nature MedicineNature Medicine - CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare 0112
Reposted by Xiao LiuJoe Alderman @jaldmn.bsky.social · 18/12/2024Hello 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.comTackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendationsWithout 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. 1154
Xiao Liu @xiaoliu.bsky.social · 19/12/2024Published 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.comTackling Algorithmic Bias and Promoting Transparency in Health Datasets: The STANDING Together Consensus RecommendationsWithout 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... 011
Xiao Liu @xiaoliu.bsky.social · 19/12/2024youtu.be/dVpSh_7NpR8youtu.beFounders' Awards 2024 - The Standing Together team | University of BirminghamYouTube video by University of Birmingham 100
Xiao Liu @xiaoliu.bsky.social · 19/12/2024One 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.comTackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendationsWithout 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. 192
Xiao Liu @xiaoliu.bsky.social · 04/12/2024Only 9 algorithms submitted to the UK Gov's #AI public register so far. Including just 3 since 2022.theguardian.comUK government failing to list use of AI on mandatory registerTechnology secretary admits government departments are not being transparent over way they use AI and algorithms 0101
Xiao Liu @xiaoliu.bsky.social · 04/12/2024www.gov.uk/government/n...gov.ukMHRA trials five innovative AI technologies as part of pilot scheme to change regulatory approachThe 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. 010
Xiao Liu @xiaoliu.bsky.social · 04/12/2024The 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) 1100
Reposted by Xiao LiuHypervisible @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.comShannon Vallor says AI does present an existential risk — but not the one you thinkAI is not a “stochastic parrot,” It’s a mirror, says the philosopher. 712739
Xiao Liu @xiaoliu.bsky.social · 28/11/2024The #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.healthParticipate – SAIL: Symposium on Artificial Intelligence for Learning Health Systems 000
Reposted by Xiao LiuJoe Alderman @jaldmn.bsky.social · 27/11/2024First 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.orgDiversity, inclusivity and traceability of mammography datasets used in development of Artificial Intelligence technologies: a systematic reviewThere 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... 131
Reposted by Xiao LiuJoe Alderman @jaldmn.bsky.social · 27/11/2024Hello 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 151
Xiao Liu @xiaoliu.bsky.social · 25/11/2024Excited to be speaking at #THISspace2024 tomorrow on Responsible data science and health innovation, hosted by @thisinstitute.bsky.social 161
Xiao Liu @xiaoliu.bsky.social · 23/11/2024This 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. 010
Xiao Liu @xiaoliu.bsky.social · 23/11/2024We are launching a new MSc in #AI Implementation (Healthcare) programme at the University of Birmingham (UK) in 2025birmingham.ac.ukArtificial Intelligence Implementation (Healthcare) MSc / PGDip - University of BirminghamThere 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. 2195
Xiao Liu @xiaoliu.bsky.social · 22/11/2024Data 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 140
Reposted by Xiao LiuAda Lovelace Institute @adalovelaceinst.bsky.social · 20/11/2024The 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.orgA knotted pipelineData-driven systems and inequalities in health and social care 2124
Reposted by Xiao LiuRob Fleming @robjimfleming.bsky.social · 20/11/2024This 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 129554
Xiao Liu @xiaoliu.bsky.social · 20/11/2024Gaps 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 0112
Xiao Liu @xiaoliu.bsky.social · 20/11/2024Recently 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.comRevealing transparency gaps in publicly available COVID-19 datasets used for medical artificial intelligence development—a systematic reviewDuring 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... 191
Reposted by Xiao LiuAlex Hanna @alexhanna.bsky.social · 15/11/2024Here'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 68333
Reposted by Xiao LiuRoxana Daneshjou, MD, PhD @roxanadaneshjou.bsky.social · 08/11/2024I’ve started an AI in healthcare starter pack! Let me know who is missing. go.bsky.app/7PeNwep 5311239
Reposted by Xiao LiuBWJones @bwjones.bsky.social · 19/10/2024Here’s your Vision Scientists Starter pack for Bsky. Lemme know who I’ve missed. go.bsky.app/3EWSGiv 296643
Xiao Liu @xiaoliu.bsky.social · 15/11/2024Happy Friday new Bluesky friends, I’m off to hibernate and recharge for the weekend 040
Reposted by Xiao LiuKeith Grimes @keithgrimes.bsky.social · 14/11/2024Accidentally 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.comWhy we need system-level change for better population healthPodcast Episode · Healthtech Pigeon · 10/11/2024 · 1h 58m 011
Reposted by Xiao LiuKeith 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.comWhy we need system-level change for better population healthPodcast Episode · Healthtech Pigeon · 10/11/2024 · 1h 58m 021
Xiao Liu @xiaoliu.bsky.social · 14/11/2024Louis 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 000
Xiao Liu @xiaoliu.bsky.social · 14/11/2024My 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. 020
Xiao Liu @xiaoliu.bsky.social · 14/11/2024Dr 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 010
Xiao Liu @xiaoliu.bsky.social · 14/11/2024Glad 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? 130
Xiao Liu @xiaoliu.bsky.social · 14/11/2024Rob 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. 000
Xiao Liu @xiaoliu.bsky.social · 14/11/2024Jamie 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) 100
Xiao Liu @xiaoliu.bsky.social · 14/11/2024Alastair 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. 100
Xiao Liu @xiaoliu.bsky.social · 14/11/2024Russell 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 . 020