A therapist-guided digital cognitive behavioural therapy reduced distress in 89 per cent of participants living with long-term physical health conditions, a new King's College London study finds.

Researchers at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London found that people living with long-term conditions who received the therapist-guided digital programme called COMPASS showed a significant reduction in psychological distress (a combined score of anxiety and depression) 12-weeks after starting the study.

The past year has seen major advances in Large Language Models (LLMs) such as ChatGPT. The ability of these models to interpret and produce human text sources (and other sequence data) has implications for people in many areas of human activity. A new perspective paper in the journal Neuron argues that like many professionals, neuroscientists can either benefit from partnering with these powerful tools or risk being left behind.

A new study evaluates an artificial intelligence (AI)-based algorithm for autocontouring prior to radiotherapy in head and neck cancer. Manual contouring to pinpoint the area of treatment requires significant time, and an AI algorithm to enable autocontouring has been introduced. The study is published in the peer-reviewed journal AI in Precision Oncology.

Since its introduction to the public in November 2022, ChatGPT, an artificial intelligence system, has substantially grown in use, creating written stories, graphics, art and more with just a short prompt from the user. But when it comes to scientific, peer-reviewed research, could the tool be useful?

Generative artificial intelligence platforms, from ChatGPT to Midjourney, grabbed headlines in 2023. But GenAI can do more than create collaged images and help write emails - it can also design new drugs to treat disease.

Today, scientists use advanced technology to design new synthetic drug compounds with the right properties and characteristics, also known as "de novo drug design." However, current methods can be labor-, time-, and cost-intensive.

Artificial Intelligence (AI) can predict whether adult patients with brain cancer will survive more than eight months after receiving radiotherapy treatment.

The use of the AI to successfully predict patient outcomes would allow clinicians to be better informed for planning the next stage of treatment and refer patients to potentially life-saving treatment quicker.

Ever wonder if the latest and greatest artificial intelligence (AI) tool you read about in the morning paper is going to save your life? A new study published in JAMA led by John W. Ayers, Ph.D., of the Qualcomm Institute within the University of California San Diego, finds that question can be difficult to answer since AI products in healthcare do not universally undergo any externally evaluated approval process assessing how it might benefit patient outcomes before coming to market.