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AI Body Composition Measurements can Predict Cardiometabolic Risk

Adiposity - or the accumulation of excess fat in the body - is a known driver of cardiometabolic diseases such as heart disease, stroke, type 2 diabetes, and kidney disease. But getting the full picture of a person’s risk is harder than it may seem. Traditional measures such as body mass index (BMI) are imperfect, conflating fat and muscle mass and not capturing where in the body fat is located.

AI Distinguishes Glioblastoma from Look-Alike Cancers During Surgery

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments.

The tool, called PICTURE (Pathology Image Characterization Tool with Uncertainty-aware Rapid Evaluations), distinguished with near-perfect accuracy between glioblastoma - the most common and aggressive brain tumor - and primary central nervous system lymphoma (PCNSL), a rarer cancer often mistaken for glioblastoma.

Overcoming the AI Applicability Crisis and Preparing for Agentic AI

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical.
The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and guide patients around the NHS.

That optimism may be well founded: AI models are being developed and improved rapidly. However, what we are seeing right now is that health is struggling with applicability.

Smart Device Uses AI and Bioelectronics to Speed Up Wound Healing Process

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring.

A wearable device called "a-Heal," designed by engineers at the University of California, Santa Cruz, aims to optimize each stage of the process. The system uses a tiny camera and AI to detect the stage of healing and deliver a treatment in the form of medication or an electric field.

Dartford and Gravesham Implements Clinisys ICE for Radiology and Pathology Orders

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE.

The trust deployed the order communications system to around 2,000 clinical users across all of its wards, the maternity and paediatrics units, the emergency and same day emergency care departments, and outpatients in June.

ChatGPT 4o Therapeutic Chatbot 'Amanda' as Effective as Jurnaling for Relationship Support

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy can be as beneficial as a evidence-based journaling in assisting with relationship conflict resolution, according to a study published in the open-access journal PLOS Mental Health

AI Tools Help Predict Severe Asthma Risks in Young Children

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study, published in the Journal of Allergy and Clinical Immunology, found the tools can detect those risks as early as age 3.

AI Model Forecasts Disease Risk Decades in Advance

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses large-scale health records to estimate how human health may change over time. It can forecast the risk and timing of over 1,000 diseases and predict health outcomes over a decade in advance.

AI Model Indicates Four out of Ten Breast Cancer Patients could Avoid Axillary Surgery

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information in mammograms and pinpoints with high accuracy the individual risk of metastasis in the armpit. A newly completed study shows that the model indicates that just over 40 per cent of today’s axillary surgery procedures could be avoided.

AI-Powered CRISPR could Lead to Faster Gene Therapies

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help researchers - even those unfamiliar with gene editing - generate designs, analyze data and troubleshoot design flaws.

DIGITAL HEALTH NEWS

AI Body Composition Measurements can Predict Cardiometabolic Risk

AI Distinguishes Glioblastoma from Look-Alike Cancers During Surgery

Overcoming the AI Applicability Crisis and Preparing for Agentic AI

Smart Device Uses AI and Bioelectronics to Speed Up Wound Healing Process

Dartford and Gravesham Implements Clinisys ICE for Radiology and Pathology Orders

ChatGPT 4o Therapeutic Chatbot 'Amanda' as Effective as Jurnaling for Relationship Support

AI Tools Help Predict Severe Asthma Risks in Young Children

AI Model Forecasts Disease Risk Decades in Advance

AI Model Indicates Four out of Ten Breast Cancer Patients could Avoid Axillary Surgery

AI-Powered CRISPR could Lead to Faster Gene Therapies

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