Associate Professor in Health Data Science, Univ. of Leeds.
Leeds, England
Joined October 2011
- Tweets986
- Following468
- Followers402
- Likes1.1K
Samuel Relton retweeted
Read the online first version @BJGPjournal bjgp.org/content/early/2026/…
With thanks to the team @Shuweihdi @sdrelton Sophie Trotter, @JamillaHussain1 @matthewallsop @JonathanKoffman Mike Bennett, Sarah Mitchell @LucyZiegler3
#primarycare
Samuel Relton retweeted
Professor @sdrelton presented a range of the data-focused research projects being led at the @UniversityLeeds, all coming together with a key message: integrating data systems is the key to targeted interventions and real change.
New paper on frequent attenders of emergency departments within the UK using national data. Some interesting implications for future care and service management! bmjopen.bmj.com/content/15/1… #healthai @akshaykumar @hsr_leeds
Samuel Relton retweeted
Cardiac contractility index helps stratify risk in HFPEF and patients with normal EF @DrSamStraw @OllyBrown @stephescope @paton_maria @Burgess1Ruth @DrMikeDrozd @tom__slater @sdrelton @EylemLevelt @KlausKWitte @RicCubbon @JohnGierula #AHAJournals ahajrnls.org/3VUZmWU
Samuel Relton retweeted
New @BJGPjournal editorial to improve understanding of the eFI2 tool for routine frailty identification & management in primary care bjgp.org/content/75/755/249 Original @Age_and_Ageing eFI2 paper available here academic.oup.com/ageing/arti… @GeriSoc @NIHR_ARC_YH @arc_nt @NHSEnglandCHS
Samuel Relton retweeted
Great advance in identification of risk of adverse events such as hospital admission with a fall or fracture, needing residential or home care - allowing targeted prevention. Proactive Care just moved up a gear! Game changing work from @drandyclegg @GERED_DOC and colleagues
When the BGS's journal Age and Ageing published the Electronic Frailty Index (eFI) in 2016, it was very influential and is used across the NHS to identify frailty within a population.
This has now been made even better with the new and improved eFI2! buff.ly/p0j55fi
Samuel Relton retweeted
In 2016, our journal, @Age_and_Ageing, published the Electronic Frailty Index. It was highly influential and is used across the NHS to identify frailty within a population.
This revolutionary has been updated, with the Electronic Frailty Index 2 (eFI2)!
buff.ly/d2K5abr
Samuel Relton retweeted
NEW PREPRINT "Critical Appraisal of Fairness Metrics in Clinical Predictive AI"
-> arxiv.org/abs/2506.17035
We identified 62 fairness metrics (& growing) - unsurprisingly it's all a bit of a mess...with most metrics not fit for purpose
#predictiveAI #fairness #machinelearning
Samuel Relton retweeted
We are looking for a Research Fellow in Qualitative Research 👀
Contribute to @NIHRresearch-funded research investigating ethnicity-based inequities in TIA (mini-stroke) care
🗓️ Application Deadline: 02/07/2025
👉 Apply:
jobs.nhs.uk/candidate/jobadv…
ALT We are hiring Research Fellow at the Academic Unit for Ageing and Stroke Research
Samuel Relton retweeted
ICYMI - our new paper explaining how small sample sizes negatively impact the quality and performance of clinical prediction models in AI-based healthcare
NEW Viewpoint: Importance of sample size on the quality and utility of #AI-based prediction models for healthcare.
Read it here: thelancet.com/journals/landi…
Samuel Relton retweeted
Last night group member @sdrelton was on the @pintofscience panel for Digital Health and AI. Some fantastic questions from the crowd about ethics, accountability, and health inequalities!
Samuel Relton retweeted
Very exciting to begin work on improving diagnosis of MND with a great team from Leeds Hospitals Trust and the university (@sdrelton , @hsr_leeds)
Really really happy to announce new research @Rob7Burrow Centre for #MND @LeedsHospitals funded by @LDShospcharity with my colleagues Dr Stefan Williams, Dr Stuart Currie, Dr Wong, Prof Schneider @UniversityLeeds harnessing advanced technology for reducing the Time to Diagnosis
Samuel Relton retweeted
New paper using temporal graph neural networks with electronic healthcare records to predict joint replacement led by @ZLHancox doi.org/10.1093/rheumatology…
Samuel Relton retweeted
The DynAIRx Project Protocol: Artificial Intelligence for dynamic prescribing optimisation and care integration in multimorbidity journals.sagepub.com/doi/10.… #BGSconf
Samuel Relton retweeted
Big day today!! Our @NIHR_ARC_YH eFI2 study published in @Age_and_Ageing academic.oup.com/ageing/arti…
National implementation will support proactive care for older people to maximise independence leeds.ac.uk/main-index/news/… Fab team @AUASResearch @CAPS_UCL @LeedsBRC @HDR_UK @GeriSoc
Samuel Relton retweeted
Join @drandyclegg in our next seminar for a discussion of their work developing the second version of the Electronic Frailty Index, used to identify frailty in older people
🗓️ Monday 31 March
🕰️ 12:45 (UK time)
📍 LSHTM | Online
More details ⬇️
lshtm.ac.uk/newsevents/event…
Samuel Relton retweeted
*new paper* Computer vision in Clinical Neurology: a review led by @vertigologist (with @DrDaveCWong , @sdrelton, @janealty1) jamanetwork.com/journals/jam…
Samuel Relton retweeted
Today the PREDICT project starts led by @sdrelton looking to investigate temporal drift in clinical prediction models and feed into regulatory policy decisions around AI deployment github.com/sdrelton/PREDICT
Samuel Relton retweeted
***Job Opportunity** Research Associate in Medical Statistics working on clinical prediction models at the University of Manchester. Come and join our prediction group and work on cancer risk prediction in children and young people. jobs.manchester.ac.uk/Job/Jo…
Samuel Relton retweeted
Are you or someone you know interested in getting a PhD in Numerical Linear Algebra?
I am looking for a PhD student at Chalmers University of Technology:
chalmers.se/en/about-chalmer…
There are also open positions in other areas of mathematics:
web103.reachmee.com/ext/I003… – at Gothenburg, Sweden