As the fields of healthcare and technology increasingly evolve and intersect, researchers are collaborating on the best ways to use emerging technologies such as artificial intelligence (AI) to care for patients.<\/p>\n
This includes using AI to assist in collecting and deciphering diagnostic data among medical professionals.<\/p>\n
One such model, \u201cBioMedGPT,\u201d has shown great potential to expand patient access to healthcare. The new model has been detailed in a study in Nature Medicine<\/em>.<\/p>\n The AI tool was developed by a collaborative team of researchers that was led by Lehigh University and included Chen Chen, an associate professor at Â鶹ӳ»´«Ã½\u2019s Center for Research in Computer Vision<\/a> (CRCV).<\/p>\n Chen says there are many existing examples of AI used for healthcare, but many are highly specialized and may only perform limited tasks.<\/p>\n However, BiomedGPT can perform multiple tasks, including image classification, report generation and visual question answering, and is designed to be computationally efficient and open-sourced to foster collaboration, according to the study.<\/p>\n BiomedGPT could find a niche in providing easily accessible data to bolster hospitals that may not have a robust number of personnel, so relying on shared knowledge from medical networks via BiomedGPT could be of great help, he says.<\/p>\n \u201cIn these hospitals, they may not a lot of physicians or clinicians that can address a case immediately or they don’t have enough resources to diagnosis,\u201d Chen says. \u201cThis powerful AI tool is able to provide that knowledge to help to reduce [challenges] in healthcare.\u201d<\/p>\n