Synopsis of recent research by authors named "Alberto Azzari"
- Alberto Azzari's recent research focuses on the application of machine learning techniques in medical settings, specifically for the classification and interpretation of neuromonitoring signals during surgical procedures and assessment of neurological disorders like multiple sclerosis.
- His article on motor evoked potentials demonstrates that ML can achieve expert-level classification accuracy, showcasing the potential for improved intraoperative decision-making in neurosurgery.
- Azzari's work on multiple sclerosis emphasizes the importance of structural connectivity and introduces a robust feature selection methodology, enhancing classification accuracy through innovative use of diffusion MRI data in patient assessments.
