A comprehensive survey on the detection, classification, and challenges of neurological disorders
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …
resources on neurological diseases and their implemented classification algorithms to …
[HTML][HTML] Emerging Technologies in Medicine: Artificial Intelligence, Robotics, and Medical Automation
The healthcare industry is undergoing a profound transformation with the emergence of
revolutionary technologies like artificial intelligence (AI), robotics, and medical automation …
revolutionary technologies like artificial intelligence (AI), robotics, and medical automation …
A comprehensive review of emerging trends and innovative therapies in epilepsy management
Epilepsy is a complex neurological disorder affecting millions worldwide, with a substantial
number of patients facing drug-resistant epilepsy. This comprehensive review explores …
number of patients facing drug-resistant epilepsy. This comprehensive review explores …
Theoretical and methodological analysis of EEG based seizure detection and prediction: An exhaustive review
Epilepsy is a chronic neurological disorder with a comparatively high prevalence rate. It is a
condition characterized by repeated and unprovoked seizures. Seizures are managed with …
condition characterized by repeated and unprovoked seizures. Seizures are managed with …
Integrating Artificial Intelligence for Drug Discovery in the Context of Revolutionizing Drug Delivery
Drug development is expensive, time-consuming, and has a high failure rate. In recent
years, artificial intelligence (AI) has emerged as a transformative tool in drug discovery …
years, artificial intelligence (AI) has emerged as a transformative tool in drug discovery …
Machine learning and artificial intelligence applications to epilepsy: a review for the practicing epileptologist
WT Kerr, KN McFarlane - Current Neurology and Neuroscience Reports, 2023 - Springer
Abstract Purpose of Review Machine Learning (ML) and Artificial Intelligence (AI) are data-
driven techniques to translate raw data into applicable and interpretable insights that can …
driven techniques to translate raw data into applicable and interpretable insights that can …
The present and future of seizure detection, prediction, and forecasting with machine learning, including the future impact on clinical trials
WT Kerr, KN McFarlane, G Figueiredo Pucci - Frontiers in Neurology, 2024 - frontiersin.org
Seizures have a profound impact on quality of life and mortality, in part because they can be
challenging both to detect and forecast. Seizure detection relies upon accurately …
challenging both to detect and forecast. Seizure detection relies upon accurately …
[HTML][HTML] Human and AI: Collaborative Medicine in the Age of Technology
M Farrokhi, F Taheri, M Farrokhi, N Emtiazi, M Talebi… - Kindle, 2024 - preferpub.org
In the era of rapidly advancing technology, the collaboration between humans and artificial
intelligence (AI) is reshaping the landscape of medicine, ushering in an era of collaborative …
intelligence (AI) is reshaping the landscape of medicine, ushering in an era of collaborative …
Artificial intelligence and telemedicine in epilepsy and EEG: A narrative review
The emergence of telemedicine and artificial intelligence (AI) has set the stage for a possible
revolution in the future of medicine and neurology including the diagnosis and management …
revolution in the future of medicine and neurology including the diagnosis and management …
A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets
Epilepsy is a common non‐communicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Different approaches of basic, clinical, and …
than 50 million individuals worldwide. Different approaches of basic, clinical, and …