Best Clinical AI Tools for Neurology

Neurological diagnosis remains one of the most intellectually demanding tasks in medicine. The nervous system spans brain, spinal cord, peripheral nerves, neuromuscular junction, and muscle — and lesions at each level produce overlapping but distinct clinical syndromes. A CDS tool that simply lists diseases matching symptoms is insufficient; the tool must support the localization process that is fundamental to neurological reasoning: where is the lesion, and what pathology at that location explains the findings? Acute neurology — stroke, status epilepticus, meningitis, myasthenic crisis — demands a different kind of support. The 2019 AHA/ASA stroke guidelines introduced expanded time windows for thrombectomy based on perfusion imaging, but the eligibility criteria are complex (DAWN and DEFUSE 3 trial criteria). CDS tools that integrate these protocols and walk clinicians through the decision tree provide genuine value in the emergency setting. Chronic neurology presents yet another challenge. Epilepsy management involves selecting from over 25 anti-seizure medications, each with distinct mechanisms, drug interactions, and teratogenicity profiles. Multiple sclerosis treatment has exploded from a handful of interferons to over a dozen disease-modifying therapies with different mechanisms and monitoring requirements. Parkinson's disease management requires careful medication timing and complex levodopa calculations. In each case, CDS tools that can navigate medication selection with awareness of patient-specific factors score highest.