1.A review of deep learning-based disease detection in Alzheimer's patients; 2. Brain tissue segmentation to detect schizophrenia in gray matter using MR images; 3. Detection of small tumors of the brain using medical imaging; 4. Fuzzy logic-based hybrid knowledge systems for the detection and diagnosis of childhood autism; 5. Artificial intelligence for risk prediction of Alzheimer's disease: a new promise for community health screening in the; older aged; 6. Cost-effective assistive device for motor neuron disease; 7. EEG signal-based human emotion detection using an artificial neural network; 8. Multiview decision tree-based segmentation of tumors in MR brain medical images; 9. Multiclass SVM coupled with optimization techniques for; segmentation and classification of medical images; 10. Brain tissues segmentation in magnetic resonance imaging for the diagnosis of brain disorders using a convolutional neural network; 11. Fine motor skills and cognitive development using virtual reality-based games in children; 12. A CAD software application as a decision support system for ischemic stroke detection in the posterior fossa; 13. Optimization-based multilevel threshold image segmentation for identifying ischemic stroke lesion in brain MR images; 14. A study of machine learning algorithms used for detecting cognitive disorders associated with dyslexia; 15. A Critical Analysis and Review of Assistive Technology: Advancements, Laws, and Impact on Improving the Rehabilitation of Dysarthric Patients; 16. A comparative study on the application of machine learning; algorithms for neurodegenerative disease prediction
