Traditional sleep studies take time, but a new AI-driven tool can quickly analyze a patient’s EHR to determine the likelihood they’re suffering from sleep apnea.

The point of the tool is not to make care decisions for clinicians, researchers say, but to provide them with additional information.

The goal of the proposed technology is to better target and match patients’ treatments based on their specific genomic profiles and cancer types.

Once the AI tool has reviewed all the data, users would receive a risk score regarding the likelihood they are showing signs of dementia, although a doctor would still be making the final diagnosis.

Just over 50 per cent of cancers in England are now diagnosed at stage one or two, stakeholders say, and the NHS wants to raise this to 75 per cent by 2028.

NAIMS was accurate when tested against hospital mortality records of premature infants and was able to perform risk assessments based on any 12-hour period during a patient’s stay.

Along with developing critical trust, an AI ethics policy will guide the work of healthcare organizations as they work to streamline clinical and non-clinical processes, improve the diagnosis of diseases, and speed up the development of new medicines.

Machine learning has the potential to completely transform the way healthcare is delivered, says one stakeholder, but unlocking new IT-based approaches can come with risks.

Among the projects funded was an AI-powered chatbot and series of self-care exercises which will provide support to help mental health patients.