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Impact of acoustic and informational noise on AI-generated clinical summaries

The CAIS generally excelled at capturing a doctor-patient consultation and producing accurate clinical summaries; however, error rate (especially omissions) increased notably when acoustic noise was i …

Clinical AI Scribes in primary care: accuracy, error severity and implications for clinical practice

The CAISs demonstrate high levels of summarisation accuracy. However, there is great disparity between the currently available CAIS products and, while some perform well, none are perfect. Clinicians …

Predicting cardiovascular events from routine mammograms using machine learning

A deep learning algorithm based on only mammographic features and age predicted cardiovascular risk with performance comparable to traditional cardiovascular risk equations. Risk assessments based on …

Early clinical evaluation of a machine-learning system for risk prediction of trauma-induced coagulopathy in the prehospital setting

Early after injury, an ML system performs well compared with expert prehospital clinicians in the prediction of TIC and blood transfusion. The study suggests that ML systems may augment clinical risk …

“How long until I am seen, doc?” Modelling paediatric emergency department waiting times to make personalised predictions

Tailored models created using routine data can be used to give individualised predictions for wait times in paediatric ED, which could be given to patients with the aim of managing expectations and im …

Transforming women’s health through innovation

This BMJ Collection, developed in partnership with Bill and Melinda Gates Foundation, consists of 11 papers. It provides analysis and commentary on the growing global women's health innovation movemen …

Ask our Chief Technology Officer: Ian Mulvany

Ian Mulvany, chief technology officer at BMJ Group, is convinced that AI will transform processes related to the creation of knowledge, particularly academic papers. Wiley on AI recently interviewed M …

Can generative AI assess PTSD? A clinical validation study of transcribed and direct audio input modalities

Artificial intelligence (AI) has become increasingly prevalent across multiple domains.1 2 In healthcare, generative AI has been evaluated for its potential in clinical applications.3 4 Example applic …

Ask our researcher: Fiona Mckenzie on the unexpected drivers of innovation

Original Research: Facilitating innovation in healthcare: insights from the front-line of adoption. A recent study published in BMJ Innovations examined the factors that drive the adoption and scaling …

Unintended consequences of using ambient scribes in general practice

Abi Eccles and colleagues argue that better evidence is crucial to ensure widespread adoption of ambient scribes does not compromise quality of care Ambient scribes have rapidly attracted internationa …

Facilitating innovation in healthcare: insights from the frontline of adoption

Innovation has long shaped healthcare but the art of adopting innovation remains a challenge. In the UK’s National Health Service (NHS), a system founded on the principles of continuous improvement an …

Impact of the Flo Cycle Tracking App on menstrual knowledge and health in low-income and middle-income countries: a longitudinal study

Over two billion people menstruate worldwide, and many lack the resources, social support and accurate information required to manage their menstrual health and hygiene (MHH) safely and with dignity.1 …

Smartphone barrier: uncovering the digital divide in mHealth prevention among disadvantaged middle-aged and older-aged UK communities

People with low socioeconomic position (SEP) are under-represented in research1 2 leading not only to reduced generalisability of findings to these groups, but also to participation and retention bias …

This year is unleashing a series of devastating blows to women’s health worldwide. Cuts to foreign aid. Denial of abortion access and reproductive autonomy. Targeted attacks on hospitals, including ma …

Reimagining women’s health is a global imperative

Imagine a world where women and girls do not just survive—they thrive. A world where women live longer, healthier lives because of more rigorous and inclusive research and policies. Where health syste …

Reshaping research and development through women’s leadership

Across the world, women are the foundation of health systems. They serve as caregivers, nurses, frontline responders, and trusted community leaders. In Africa, this reality is even more pronounced. Wo …

We need a broader perspective on innovations to advance a women and health agenda

Although biotech innovations have contributed to improvements in health outcomes, we need more comprehensive health innovation to tackle persistent gender and intersectional equity gaps, argue Karla U …

Rapid advances in diagnostic technology, coupled with persuasive advertising, have resulted in a surge of direct-to-consumer self-tests, often sold under the banner of “wellness.” Marketed as tools fo …

Reporting guidelines for chatbot health advice studies: explanation and elaboration for the Chatbot Assessment Reporting Tool

Researchers developed a new guideline, CHART, to improve transparency and reproducibility in studies that evaluate how well AI chatbots provide health advice. This tool gives researchers a checklist t …

Generative artificial intelligence in medicine: a mixed-methods survey of UK general practitioners

A survey of 1,006 GPs found practitioners anticipate benefits from AI for documentation, gathering patient information, and diagnosis. Eighty percent of those GPs seek more training in AI applications …

Impact of acoustic and informational noise on AI-generated clinical summaries

Clinical AI Scribes in primary care: accuracy, error severity and implications for clinical practice

Predicting cardiovascular events from routine mammograms using machine learning

Early clinical evaluation of a machine-learning system for risk prediction of trauma-induced coagulopathy in the prehospital setting

“How long until I am seen, doc?” Modelling paediatric emergency department waiting times to make personalised predictions

Transforming women’s health through innovation

Ask our Chief Technology Officer: Ian Mulvany

Can generative AI assess PTSD? A clinical validation study of transcribed and direct audio input modalities

Ask our researcher: Fiona Mckenzie on the unexpected drivers of innovation

Unintended consequences of using ambient scribes in general practice

Facilitating innovation in healthcare: insights from the frontline of adoption

Impact of the Flo Cycle Tracking App on menstrual knowledge and health in low-income and middle-income countries: a longitudinal study

Smartphone barrier: uncovering the digital divide in mHealth prevention among disadvantaged middle-aged and older-aged UK communities

Upending women’s health

Reimagining women’s health is a global imperative

Reshaping research and development through women’s leadership

We need a broader perspective on innovations to advance a women and health agenda

The pitfalls of diagnostic self-tests

Reporting guidelines for chatbot health advice studies: explanation and elaboration for the Chatbot Assessment Reporting Tool

Generative artificial intelligence in medicine: a mixed-methods survey of UK general practitioners

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