AI Could Predict Failure of Treatment for Brain Metastases
A novel artificial intelligence-based tool predicted treatment failure with 83% accuracy after analyzing baseline treatment-planning MRIs.
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A novel artificial intelligence-based tool predicted treatment failure with 83% accuracy after analyzing baseline treatment-planning MRIs.
A recent study performed by scientists at York University has recommended that a new artificial intelligence (AI) method is significantly more effective compared to the human eye in anticipating therapy outcomes in patients with brain metastases.
Analysing changes to speech patterns may hold key to early detection.
It uses voice records of people uttering three sounds that are similar to a Hindu meditation chant.
A new screening test App could help advance the early detection of Parkinson’s disease and severe COVID-19, improving the management of these illnesses.<br /><br />