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
The 2007 BME alum will lead efforts to bring medical technologies to market.
BME graduate leveraging Coulter experience to bridge continents and inspire students
Seven other Faculty Members from Coulter Department Named to Fall 2024 Honor Roll
Researcher Michaël Girard delivers eye-popping presentation at BME Seminar Series
Anant Madabhushi part of Emory team awarded up to $17.6 million to innovate surgery, improve outcomes
BME researchers combine precision and simplicity in transforming diagnostic tools.
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