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Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when it comes to our health - be it choosing a treatment for an ailment or even selecting a dietary regimen - it is a lot harder to predict how each choice will affect our bodies and whether it will suit us personally.

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Should AI Chatbots Replace Your Therapist?

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards for therapists.

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AI Detects Early Signs of Osteoporosis from X-Ray Images

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images. The advance is described in a study published in the Journal of Orthopaedic Research.

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AI could Help Pathologists Match Cancer Patients to the Right Treatments

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how doctors determine the best treatment for cancer patients - by enhancing how tumor samples are analyzed in the lab.

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AI Tool Detects Surgical Site Infections from Patient-Submitted Photos

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site infections (SSIs) with high accuracy from patient-submitted postoperative wound photos, potentially transforming how postoperative care is delivered.

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AI Sharpens Pathologists' Interpretation of Tissue Samples

Pathologists' examinations of tissue samples from skin cancer tumours improved when they were assisted by an AI tool. The assessments became more consistent and patients' prognoses were described more accurately. This is shown by a study led by Karolinska Institutet, conducted in collaboration with researchers from Yale University.

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Integrating Care Records is Good. Using Intelligence to Make them Active is Better

Opinion Article by Dr Paul Deffley, Chief Medical Officer, Alcidion.
A single patient record already exists in the NHS. Or at least, that’s a perception shared by many. A survey of a thousand members of the public, conducted by NHS Confederation hosted organisation Understanding Patient Data, found that more than 6 in 10 UK citizens believed information on their NHS history was already collated in a single repository.

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Forging a Novel Therapeutic Path for Patients with Rett Syndrome Using AI

Rett syndrome is a devastating rare genetic childhood disorder primarily affecting girls. Merely 1 out of 10,000 girls are born with it and much fewer boys. It is caused by mutations in the MeCP2 gene on the X chromosome, leading to a spectrum of cognitive and physical impairments, including repetitive hand motions, speech difficulties, and seizures.

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AI Model Converts Hospital Records into Text for Better Emergency Care Decisions

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of complex patient histories and use these narratives to perform clinical decision support with high accuracy.

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Mayo Clinic's AI Tool Identifies 9 Dementia Types, Including Alzheimer's

Mayo Clinic researchers have developed a new artificial intelligence (AI) tool that helps clinicians identify brain activity patterns linked to nine types of dementia, including Alzheimer's disease, using a single, widely available scan - a transformative advance in early, accurate diagnosis.

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