A team of Georgia Tech and Emory University researchers are exploring how artificial intelligence (AI) can be used to improve diagnoses and treatment of diseases.
A specific type of AI, called natural language processing (NLP), can be used to speed up the time between a patient-initiated message, a physician response, and access to COVID-19 antiviral treatment, according to a study recently published in JAMA Open Network.
Prof. May Wang
May Wang, PhD, a co-author on the study, professor and Wallace. H. Coulter Distinguished Faculty Fellow, said the study showed the power of using AI to rapidly process and alert clinical teams on which patients are at higher risk for COVID-19 and require further screening.
"The results of our study illustrated the power of using advanced NLP models in accurately identifying patients at risk of a certain disease (in this case, COVID-19) in real time. It showed that the speed for patient access to healthcare can be significantly increased," Wang explained. "That is, instead of relying on human experts (nurses or physicians) to manually process the patient messages, the NLP models can automatically process the information and alert the clinical team on which patients are at higher risk and require further screening."
Latest BME News
Researchers demonstrate stem cell treatment without chemotherapy and painful bone marrow procedure
BME researchers explore the critical role of mechanical force in rare genetic disorder
Researchers develop spatial transcriptomics toolkit that provides new insights into the molecular processes of life
Air Detectives take top prize to give department three straight victories in Expo competition
Coulter BME community gathers at the Fabulous Fox to celebrate anniversary of unique public-private partnership
Coskun pioneering new research area and building a company around iseqPLA technology
BME undergraduate student and competitive skater Sierra Venetta has found success on and off the ice
BME researcher Ankur Singh using new technology to uncover weakened response in cancer patients