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AI tools in healthcare often work in isolation but stall in practice. Reflections from Oxford's AI in Healthcare event on why implementation, not algorithms, is the real bottleneck – and what primary care research brings to the problem.

Illustrated sketchnote by Scriberia summarising discussions from the patient and public involvement day at the AI in Healthcare event. The hand-drawn visual captures key themes in speech bubbles and vignettes, including 'What is AI?', 'Hospital at Home: Getting it Right', 'The Future of Primary Care', 'Machine Learning and Proteomics for Complex Disease', and public perspectives on communicating AI in healthcare. Logos for the Computational Health Informatics Lab, Department of Engineering Science, Nuffield Department of Primary Care Health Sciences, and the University of Oxford appear at the top. — Visual summary of the event's patient and public involvement day, illustrated by Scriberia. The blog post covers themes from all three days.

Association between Great Salt Lake desiccation, air quality, and major depressive episodes: an ecological study.

Neelam M. et al, (2027), Lancet Planet Health

Antibiotic prescribing and use in United Kingdom general practices in socio-economically deprived areas: a critical interpretive synthesis

Bell A. et al, (2026), Journal of Health Equity, 3

Cost-effectiveness of paramedic administered ketamine compared to morphine for the management of acute severe pain from traumatic injury

Khan KA. et al, (2026), Cost Effectiveness and Resource Allocation, 24

Telephone triage in urgent unscheduled primary care in 16 European countries: a cross-national questionnaire-based expert study

Bergholdt Jul Christiansen I. et al, (2026), Scandinavian Journal of Primary Health Care, 44

Viral cultures for assessing airborne infectiousness of SARS-CoV-2: a systematic review and meta-analysis

Onakpoya IJ. et al, (2026), BMC Infectious Diseases, 26

Associations of Alzheimer’s disease with inpatient hospital costs and with quality-adjusted life years: evidence from conventional and Mendelian randomization analyses in the UK Biobank

Dixon P. and Anderson E., (2026), Cost Effectiveness and Resource Allocation, 24

A multivariate decomposition analysis of drivers of overweight and obesity among Ghanaian women

Mensah JP. et al, (2026), Communications Medicine, 6

The effect of increasing availability of vegetarian meals on their sales in worksite cafeterias: a stepped-wedge cluster randomised controlled trial

Becker E. et al, (2026), International Journal of Behavioral Nutrition and Physical Activity, 23

Bayesian adaptive trial designs for evaluating low-risk programmatic changes for quality improvement in health services: a simulation study

Kim MJ. et al, (2026), BMC Medical Research Methodology, 26

Adiposity and the first-onset of diagnosed mental illnesses: a population-based cohort study of 10 million UK adults

Dong X. et al, (2026), BMC Medicine, 24

Can TElemedicine system replace doctor consultations to Achieve non-inferior blood pressure in patients with Controlled Hypertension (TEACH)? Study protocol for a randomised controlled trial

Ng SN. et al, (2026), Trials, 27

Clinical and economic outcomes of therapeutic plasma exchange and intravenous immunoglobulin for treating adults with autoimmune neurological disorders: a systematic review and meta-analysis

Kimber C. et al, (2026), BMC Neurology, 26

A decision-tree model to evaluate the impacts of workforce investments aimed at strengthening emergency obstetric and neonatal care (EmONC) facilities in Burundi

Habonimana D. et al, (2026), Cost Effectiveness and Resource Allocation, 24

A multidimensional framework for mapping social need to electronic health records in people with multimorbidity

Isaac T. et al, (2026), Scientific Reports, 16

How can we make postnatal information resources more accessible to women experiencing challenges accessing healthcare? Report of a co-production project

MacLellan J. et al, (2026), International Journal for Equity in Health, 25

Bridging the gap: a mixed-methods real-world pilot of a digital intervention for adults with binge eating

Osborne EL. et al, (2026), Journal of Eating Disorders, 14

Does the range of ecolabels on offer alter their impact on meal selection? An online randomised control trial

Biggs E. et al, (2026), BMC Public Health, 26

Evaluation of the experience of people referred under the NHS enhanced service incentive for obesity to the NHS digital weight management programme: a mixed method study

Barrett S. et al, (2026), BMC Public Health, 26

Ensuring participant safety in research studies evaluating digital mental health interventions delivered remotely - insights from the PIPA trial of an online parenting intervention to prevent affective disorders in high-risk adolescents

Madan J. et al, (2026), BMC Medical Research Methodology, 26

Data factor marketization and regional innovation: Evidence from the establishment of data trading platforms in China

Ouyang Y. and Hu M., (2026), Technology in Society, 87

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