Samuel Relton

Associate Professor in Health Data Science, Univ. of Leeds.

[Gemma Clarke @Dr_GClarke]

Read the online first version @BJGPjournal https://t.co/t0vA2XjgzO
With thanks to the team @Shuweihdi @sdrelton Sophie Trotter, @JamillaHussain1 @matthewallsop @JonathanKoffman Mike Bennett, Sarah Mitchell @LucyZiegler3
#primarycare

[Child of the North @ChildoftheNort1]

@LancasterUni @UniOfYork @LucyEddy_ @NorthumbriaUni 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.

[Samuel Relton @sdrelton]

New paper on frequent attenders of emergency departments within the UK using national data. Some interesting implications for future care and service management! https://t.co/qsNEoDfKyr #healthai @akshaykumar @hsr_leeds

[CircImaging @CircImaging]

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 https://t.co/M3wFIzqcLz

[Andrew Clegg @drandyclegg]

New @BJGPjournal editorial to improve understanding of the eFI2 tool for routine frailty identification & management in primary care https://t.co/9MHlWYxxG2 Original @Age_and_Ageing eFI2 paper available here https://t.co/wseo0NV20d @GeriSoc @NIHR_ARC_YH @arc_nt @NHSEnglandCHS

[Eileen Burns @EileenBurns13]

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

[British Geriatrics Society @GeriSoc]

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)!

https://t.co/XrlqFume1w

[Gary Collins @GSCollins]

NEW PREPRINT "Critical Appraisal of Fairness Metrics in Clinical Predictive AI"
-> https://t.co/TpmpXSrJN6

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

[Academic Unit for Ageing and Stroke Research @AUASResearch]

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:
https://t.co/ySHGqQktrF

[Richard Riley (R²) @Richard_D_Riley]

ICYMI - our new paper explaining how small sample sizes negatively impact the quality and performance of clinical prediction models in AI-based healthcare

[Health Services Research @ Leeds @hsr_leeds]

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!

[Dave Wong @DrDaveCWong]

Very exciting to begin work on improving diagnosis of MND with a great team from Leeds Hospitals Trust and the university (@sdrelton , @hsr_leeds)

[Health Services Research @ Leeds @hsr_leeds]

New paper using temporal graph neural networks with electronic healthcare records to predict joint replacement led by @ZLHancox https://t.co/ZnUF1Ao1Z7

[Age_and_Ageing @Age_and_Ageing]

The DynAIRx Project Protocol: Artificial Intelligence for dynamic prescribing optimisation and care integration in multimorbidity https://t.co/MLhXqvvsBP #BGSconf

[Andrew Clegg @drandyclegg]

Big day today!! Our @NIHR_ARC_YH eFI2 study published in @Age_and_Ageing https://t.co/4755yBOTmJ

National implementation will support proactive care for older people to maximise independence https://t.co/NlyiE6hbi6 Fab team @AUASResearch @CAPS_UCL @LeedsBRC @HDR_UK @GeriSoc

[Data & Statistical Science for Health, LSHTM @LSHTM_datastats]

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 ⬇️
https://t.co/dhc0AEgTXN

[Health Services Research @ Leeds @hsr_leeds]

*new paper* Computer vision in Clinical Neurology: a review led by @vertigologist (with @DrDaveCWong , @sdrelton, @janealty1) https://t.co/7AV0U5Iz5V

[Health Services Research @ Leeds @hsr_leeds]

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 https://t.co/jjiyveIs57

[David A Jenkins @David_A_Jenkins]

***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. https://t.co/laRYGiBoMY

[Samuel Relton @sdrelton]

@drandyclegg @NIHRresearch @LeedsMedHealth @BTHFT @NIHR_ARC_YH @HDR_UK Congrats Andy!