The words "artificial intelligence" are now ubiquitous, their influence having risen dramatically in recent years and their ...
The hype surrounding AI remains prevalent in healthcare but is particularly strong in radiology. If you remember the early days of computer-aided design (CAD), it’s quite impressive how far the ...
Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. This paper describes the FUTURE-AI ...
We welcome you to this year’s collaborative AMSSM-BJSM edition celebrating the 2025 American Medical Society for Sports Medicine annual meeting. The theme of the 2025 annual meeting is ‘Elevate the ...
The question isn't whether to adopt AI, but how to maximise its benefits. The stakes are clear. Research projects that generative AI could boost the pharma and medical-product industries' annual ...
There is still progress to be made in optimising AI for the unique needs of the medical field. For example, maintaining confidentiality of pre-launch or patient data is a major consideration.
Large language models (LLMs) are poised to have a disruptive impact on health care. Numerous studies have demonstrated ...
The innovation, he says, could transform the way scientists measure and address genomic breaks in gene-editing systems.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results