AANS Beyond 2021: Trauma Bundle-Neurotrauma state of the Art :A Welcome to Robots

Video Transcription

Video Summary

In this video, Dr. Usma Samadhani discusses the state of the art for neurotrauma and how big data and algorithms can transform brain injury care. Dr. Samadhani highlights the flaws in the current classification scheme for brain injury based on the Glasgow Coma Scale, duration of amnesia, and duration of loss of consciousness, and shares examples of patients who were misclassified. She explains that brain injuries are difficult to diagnose and define because each injury is unique, with different underlying pathophysiologies. Dr. Samadhani emphasizes the need for complex algorithms to accurately diagnose and treat brain injuries.<br /><br />She discusses the potential of using machine learning techniques and artificial intelligence to analyze imaging data, serum biomarkers, and eye tracking for diagnostic purposes. Eye tracking, for example, can be used to measure pupil movements and detect abnormalities associated with brain injuries. Dr. Samadhani also mentions the future use of robots in performing physical examinations and surgeries.<br /><br />Furthermore, she emphasizes the importance of addressing biases and inequities in diagnosing and treating brain injuries. She mentions the need for public health efforts to target modifiable risk factors for dementia and reduce inequities in accessing healthcare. Dr. Samadhani believes that big data and algorithms will play a crucial role in solving complex problems like brain injuries, and that their use will lead to better outcomes and reduce healthcare costs. She also suggests that large employers, insurance companies, and direct-to-consumer healthcare approaches will contribute to the development and implementation of these algorithms.

Keywords

neurotrauma

big data

algorithms

brain injury care

diagnosis

machine learning

inequities