COVID-19 and Artificial Intelligence

Introduction to AI for neurological science
Machine learning applications for neurological science
AI and Machine learning for neurological disorders and diagnosis
Deep learning models for neurological science
Sustainable AI models for neurological science disorders
Clinical AI models for accuracy and explain-ability
Hybrid models for neurological science and applications
Intelligent systems for neurological science and applications
Bio-inspired models for neurological disorders
Meta-heuristic models for neurological science and applications
Fuzzy based models for neurological science and applications
Ensemble models for neurological science and applications
Multi-modal tools for neurological science and applications
AI for Neuro imaging
Post COVID-19 effects for neurological disorders
Psychological effects on neurological disorders
AI for neuroradiology
AI for drug discovery
AI for Electrophysiology, Multiple sclerosis, CT scan/MRI imaging or Retinal and fundus scans etc.
Challenges and future scopes of AI for neurological science and practice

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• Biologia, ciências da vida
• Modelagem computacional e simulação

Artificial intelligence; medical informatics; neurological disorders; machine learning; deep learning; clinical practice; intelligent system; bio-inspired model; COVID-19