COVID-19 and Artificial Intelligence
COVID-19 and Artificial Intelligence
Application of Health Technologies in Neurological Science and Practice During and post-Pandemic
Okoye, Kingsley; Guggari, Shankru; Sajja, Priti Srinivas
Elsevier Science Publishing Co Inc
08/2024
Mole
Inglês
9780443154102
15 a 20 dias
Descrição não disponível.
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
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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Artificial intelligence; medical informatics; neurological disorders; machine learning; deep learning; clinical practice; intelligent system; bio-inspired model; COVID-19
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.