Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed, and saving up to 22 lives every year, suggests a modelling study, published online in BMJ Quality & Safety.

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations and can sometimes generate incorrect advice or instructions. A new study in the American Journal of Preventive Medicine, published by Elsevier,

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers?

A new Northwestern Medicine study tested a specially designed ChatGPT to see if it could successfully provide answers to patients' common questions about radiation oncology.

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at Uppsala University Hospital and Uppsala University in collaboration with Danderyd Hospital and the University Hospital of Basel, Switzerland.

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field of drug discovery. This innovative framework adeptly integrates structured and unstructured knowledge, enhancing the AI-driven exploration of molecular dynamics and interactions.

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on diagnostic imaging.

Deployed as part of an enterprise imaging agreement signed with Sectra in 2020, the PACS is already used by clinicians in NHS hospitals, who are part of the Greater Manchester Imaging Network across the region to view, analyse and interrogate millions of patient scans including x-rays, CT scans, ultrasounds and MRIs.

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to build in the laboratory.

The worldwide spread of drug-resistant bacteria has created an urgent need for new antibiotics, but even modern AI methods are limited at isolating promising chemical compounds, especially when researchers must also find ways to manufacture these new AI-guided drugs and test them in the lab.