A former national chief information officer for health and social care in England, Will Smart will join the Alcidion Group board in a global role from October. He will provide strategic insight as the company continues to support healthcare organisations in different parts of the world digitise frontline services.
During an extensive career in digital health, Smart has advised senior government ministers, has played leading roles in initiatives including the Global Digital Exemplar programme and has helped to drive technology adoption from within the health technology industry.
The study also showed that Google’s chatbot Bard performed better than trainees in some aspects and Microsoft’s Bing chatbot performed as well as trainees.
Patient stimulus technology provider Airwave Healthcare has appointed Francesca McPhail, who will help health and care providers achieve more from their media and entertainment systems for people receiving care.
Francesca McPhail has worked with hundreds of healthcare organisations during her career, and has now joined the Airwave Healthcare team as a key account manager.
1 - 2 October 2024, Luxembourg.The new approach, driven by artificial intelligence (AI), offers a safer and faster alternative to the current gold standard of drilling into the skull.
Combining a scientifically formulated dietary supplement, a leading-edge wellness companion app, and a saliva-based a biological age test by Chronomics, Bayer is taking a big step in the emerging healthy-aging space by offering consumers new tools to help them support their healthy-aging journey with its new Age Factor™ ecosystem.
The new AI system, described Sept. 4 in Nature, goes a step beyond many current AI approaches to cancer diagnosis, the researchers said.
Current AI systems are typically trained to perform specific tasks - such as detecting cancer presence or predicting a tumor's genetic profile - and they tend to work only in a handful of cancer types.
Chat GPT-4 Vision is the first version of the large language model that can interpret both text and images.
The study published Aug. 29 in Nature Communications shows that artificial intelligence and machine learning technologies can effectively and efficiently subtype pathology samples from patients with RA.