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The epidemiologist teaching healthcare professionals to question AI

"Every single number we deal with on the screen in an emergency context, those are people with their stories. They are mothers, children, fathers, grandparents," Mona Elbabary told BMJ Future Health.

Identifying and understanding significant change due to drift when assessing AI models in healthcare: a narrative review

Artificial intelligence (AI) as a Medical Device (AIaMD) is a medical device that incorporates AI, specifically machine learning (ML) approaches. While they may offer significant advantages in healthc …

Innovation in Alzheimer’s disease needs more than pharmaceutical solutions

Population approaches are an important component of reducing risk and disease burden

Why are humans still in the loop with advancing AI capabilities?

Large language model generative artificial intelligence (AI) systems have opened Pandora’s box, beating human benchmarks across a range of tasks. AI systems alone can outperform humans who have access …

Helen Salisbury: AI medical chatbots—more hype than help

Artificial intelligence has been shown to outperform doctors in medical exams, with ChatGPT achieving more than 95% accuracy in the US Medical Licensing Exam, and in correctly identifying conditions f …

Clinician in the loop: a flawed solution for AI oversight

David Toro-Tobon and colleagues argue that “clinician in the loop” is shifting responsibility for AI safety from developers to doctors and cannot be relied on as a failsafe for patients.

New brain stimulation technique improves short term social skills in children with autism

A new non-invasive brain stimulation technique known as accelerated continuous theta burst stimulation (a-cTBS) improves social communication at one month follow up and has a favourable safety profile …

AI model detects very early normally ‘invisible’ tissue changes of pancreatic cancer

An AI model (REDMOD) can pick up the very early subtle tissue changes of pancreatic ductal adenocarcinoma, the most common form of pancreatic cancer, which conventional imaging and the human eye find …

Acceptable accuracy for medical AI: a survey of physicians and the general population in Sweden

As artificial intelligence (AI) tools enter clinics and patient smartphones at unprecedented speed, a fundamental question emerges: what level of performance is ‘good enough’ for AI to guide medical d …

Substantial amount of medical information provided by popular chatbots inaccurate and incomplete

A substantial amount of medical information provided by 5 popular chatbots is inaccurate and incomplete, with half of the answers to clear evidence based questions “somewhat” or “highly” problematic, …

Barry Solaiman, raised in northeast England, moved to Doha in 2017, following the completion of a law PhD from the University of Cambridge, to help develop a new law school. He went on to become asso …

Predicting wound healing outcomes: a comparative accuracy analysis of AI-driven indices and percent area reduction

Wounds are a significant global health challenge, affecting millions of people each year, with estimated costs of over $126B annually to medical care providers in the USA alone. Chronic wounds are als …

From tobacco to TikTok: what public health litigation history tells us about holding social media accountable

On 25 March 2026 a California jury ordered Meta and Google to pay $3m (£2.26m; €2.59m) in compensatory damages to the family of a child harmed by addictive platform design, with punitive damages recom …

Effect of a clinical decision support system on stroke care quality and outcomes in patients with acute ischaemic stroke (GOLDEN BRIDGE II): cluster randomised clinical trial

Artificial intelligence (AI) in healthcare has gained widespread attention, especially in assisting with disease diagnosis, treatment, prognosis, and enhancing clinical decision making.1 The clinical …

Machine learning based screening of potential paper mill publications in cancer research: methodological and cross sectional study

Research paper mills are “contract-cheating organisations which provide undeclared services to support research manuscripts and publications.” Research paper mills fabricate and submit manuscripts for …

An important step towards improving research integrity Paper mills are a systemic threat to research integrity, contaminating the evidence, influencing citations, and potentially affecting clinical de …

From iPatient to Ai-Patient: a responsibility to medical education

Our institution was an early implementer of a major electronic health record (EHR) in 2008. Trainees immediately restructured their workflows around the computer, no longer required to manually transc …

A comprehensive public health approach is needed to study the impact of digital technology on health

Barely a day goes by without media and political concern about the impact of digital technology on health, particularly among young people. The publication of a recent government report, “Understandin …

New risk prediction model for managing COPD in primary care

Tool offers increased precision in estimating exacerbation risk Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide. It is frequently seen in primary c …

Charles Polkey: neurosurgeon and pioneer of the surgical treatment of epilepsy

When the powers that be at King’s College Hospital told neurosurgeon Charles Polkey that it had decided to name a ward after him he was initially reluctant to accept the honour. He only relented after …

The epidemiologist teaching healthcare professionals to question AI

Identifying and understanding significant change due to drift when assessing AI models in healthcare: a narrative review

Innovation in Alzheimer’s disease needs more than pharmaceutical solutions

Why are humans still in the loop with advancing AI capabilities?

Helen Salisbury: AI medical chatbots—more hype than help

Clinician in the loop: a flawed solution for AI oversight

New brain stimulation technique improves short term social skills in children with autism

AI model detects very early normally ‘invisible’ tissue changes of pancreatic cancer

Acceptable accuracy for medical AI: a survey of physicians and the general population in Sweden

Substantial amount of medical information provided by popular chatbots inaccurate and incomplete

The world can learn from Qatar

Predicting wound healing outcomes: a comparative accuracy analysis of AI-driven indices and percent area reduction

From tobacco to TikTok: what public health litigation history tells us about holding social media accountable

Effect of a clinical decision support system on stroke care quality and outcomes in patients with acute ischaemic stroke (GOLDEN BRIDGE II): cluster randomised clinical trial

Machine learning based screening of potential paper mill publications in cancer research: methodological and cross sectional study

AI for detecting paper mill papers

From iPatient to Ai-Patient: a responsibility to medical education

A comprehensive public health approach is needed to study the impact of digital technology on health

New risk prediction model for managing COPD in primary care

Charles Polkey: neurosurgeon and pioneer of the surgical treatment of epilepsy

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