Does the same centralized architecture approach, responsible for much of the progress in consumer artificial intelligence (AI), work for AI in medicine?
Nine of the most promising AI healthcare technologies to receive nearly £16 million in government funding to accelerate research
Five limitations of a biomedical LLM like BioGPT and what is in store for the future of this AI tool
How are AI applications able to recognize common images with greater accuracy than humans?
Using ChatGPT, the authors evaluated the United States Medical Licensing Exam (USMLE), an exam known for its linguistic and conceptual richness of multimodal clinical data
Researchers may be able to predict cardiovascular disease in patients by using machine learning to examine the genes in their DNA
But most imaging organizations have only deployed three or fewer narrow AI applications, and less than one-third of radiologists use AI as part of their workflows. With all the challenges we face as radiologists, why have we been so slow to adopt imaging AI applications?
Solution to boost patient experience, drive efficiency, maximize care
Three ways in which generative AI has the potential to transform medical science