A comprehensive survey on the detection, classification, and challenges of neurological disorders

AA Lima, MF Mridha, SC Das, MM Kabir, MR Islam… - Biology, 2022 - mdpi.com
Simple Summary This study represents a resourceful review article that can deliver
resources on neurological diseases and their implemented classification algorithms to …

[HTML][HTML] Emerging Technologies in Medicine: Artificial Intelligence, Robotics, and Medical Automation

M Rezaei, S Saei, SJ Khouzani, ME Rostami… - Kindle, 2023 - preferpub.org
The healthcare industry is undergoing a profound transformation with the emergence of
revolutionary technologies like artificial intelligence (AI), robotics, and medical automation …

A comprehensive review of emerging trends and innovative therapies in epilepsy management

S Ghosh, JK Sinha, S Ghosh, H Sharma, R Bhaskar… - Brain Sciences, 2023 - mdpi.com
Epilepsy is a complex neurological disorder affecting millions worldwide, with a substantial
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

R Cherian, EG Kanaga - Journal of neuroscience methods, 2022 - Elsevier
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 …

Integrating Artificial Intelligence for Drug Discovery in the Context of Revolutionizing Drug Delivery

AI Visan, I Negut - Life, 2024 - mdpi.com
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 …

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 …

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 …

[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 …

Artificial intelligence and telemedicine in epilepsy and EEG: A narrative review

M Alkhaldi, LA Joudeh, YB Ahmed, KS Husari - Seizure: European Journal …, 2024 - Elsevier
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 …

A review on software and hardware developments in automatic epilepsy diagnosis using EEG datasets

P Handa, E Gupta, S Muskan, N Goel - Expert Systems, 2023 - Wiley Online Library
Epilepsy is a common non‐communicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Different approaches of basic, clinical, and …