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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 …
Palantir: Coalition urges NHS organisations to refuse to use controversial tech giant’s software
Every hospital in England has been urged to disobey an NHS directive to use software operated by controversial US analytics software company Palantir. A coalition of human rights, health and patient o …
Priorities for artificial intelligence education: clinicians’ perspectives
Clinicians are most likely to be motivated to learn about AI framed around its liability implications and determining appropriate confidence in AI algorithms, as these are perceived as important and c …
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 …
Potential applications and implications of large language models in primary care
LLMs can enhance decision-making, reduce administrative tasks, and empower patients, but concerns about privacy, data bias, and accuracy remain. The article offers guidance for primary care clinicians …
Personalised care for diabetic kidney disease in older patients
A lack of personalised care often leads to suboptimal pharmacological treatment in older patients with diabetic kidney disease. An algorithm which integrates the latest evidence with personalised care …