Shubhayu Bhattacharyay will be talking at BrainX Community Live about AI applications in critical care
A Gates Cambridge Scholar will be presenting on his research findings at the BrainX Community Live event this week.
Shubhayu Bhattacharyay  will be speaking about Artificial Intelligence applications in critical care, with a focus on computational decoding of motion time series in critically ill patients with severe brain injury. this relates to a recent paper published in Nature.
The paper explored the hypothesis that computational decoding of quantitative motor features in critically ill patients with severe brain injury could yield information on underlying neurological states and outcomes.
Using wearable microsensors placed on all extremities, the researchers recorded an average of around 24 hours of high-frequency accelerometry data per patient from patients admitted to ICU with severe brain injury. The models used were able to measure the frequency of motor activity over specific periods of time to calculate levels of responsiveness and outcome.
The aim was to detect levels of responsiveness, assessed by motor sub-score of the Glasgow Coma Scale (GCSm), and prediction of functional outcome at discharge, measured with the Glasgow Outcome Scale–Extended (GOSE).
The researchers found that the models they used were able to show consistently which patients could be capable of purposeful movement and to predict which would have upper moderate disability or better.
They say the results suggest that time series analysis of motor activity yields clinically relevant insights on underlying functional states and short-term outcomes in patients with severe brain injury.
Shubhayu is doing a PhD in Clinical Neurosciences.
*The Zoom registration link for Shubhayu’s event can be found here. The talk will take place on 2nd June, 10-11 pm BST.
**Picture credit of brain scan: Martin420. Courtesy of Wikimedia Commons.