Traumatic Brain Injury and Artificial Intelligence: Shaping the Future of Neurorehabilitation—A Review

Life, Journal Year: 2025, Volume and Issue: 15(3), P. 424 - 424

Published: March 7, 2025

Traumatic brain injury (TBI) is a leading cause of disability and death globally, presenting significant challenges for diagnosis, prognosis, treatment. As healthcare technology advances, artificial intelligence (AI) has emerged as promising tool in enhancing TBI rehabilitation outcomes. This literature review explores the current potential applications AI management, focusing on AI’s role diagnostic tools, neuroimaging, prognostic modeling, programs. AI-driven algorithms have demonstrated high accuracy predicting mortality, functional outcomes, personalized strategies based patient data. models been developed to predict in-hospital mortality patients up an 95.6%. Furthermore, enhances neuroimaging by detecting subtle abnormalities that may be missed human radiologists, expediting diagnosis treatment decisions. Despite these ethical considerations, including biases data generalizability, pose must addressed optimize implementation clinical settings. highlights key trials future research directions, emphasizing transformative improving care, rehabilitation, long-term outcomes patients.

Language: Английский

Machine Learning Opportunities in Traumatic Brain Injury Patients

Indian Journal of Neurotrauma, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Language: Английский

La inteligencia artificial en la investigación en el ámbito de la salud: desafíos y oportunidades

Published: Jan. 1, 2025