Revolutionizing Healthcare: Impact of Artificial Intelligence on Diagnosis, Treatment, and Patient Care

Introduction to Intelligent Techniques in Healthcare.- Kuramoto Phase Model Possible New Effects of Neuronal Dynamics.- Object Detection in the Healthcare Industry Using YOLO A Better Way Than CNN.- A Study on Performance of Ensemble Based Classifiers on Healthcare Data.- Pre Diagnosis of Cardiovascular Diseases through Machine Learning and Deep Learning Techniques Using Clinical Parameters.- Machine Learning Aided Breast Cancer Detection Towards Reducing Mortality Rates.- Advancements in Diabetic Retinopathy Detection Using Deep Learning.- Advancements in Computer Aided Diagnosis Systems for Mammographic Mass Detection A Comprehensive Review.-Automated Detection of Oral Cancer through Deep Learning A Histopathological Approach.- Deep Learning Driven CNN Models for Enhanced Brain Tumor Classification.- Improving Remote Patient Monitoring and Care Using Machine Learning.- Detecting Depression Using Textual Data from Social Media.- Machine Learning in Addiction Research Advancements, Challenges, and Future Directions.- MindEase Systematic Review for Unraveling Mental Health with Machine Learning Approach in Adults.- Early Detection of Mental Health Conditions and Advising System Using Artificial Intelligence.- Virtual Health Assistants AI in Patient Engagement.- Revolutionizing Electronic Health Records with AI in Hospitals for Patient Benefit.- Ethical Considerations in AI Enabled Healthcare.- Overcoming Challenges in the Integration of AI in Healthcare.- AI's Potential Embracing AI in the Future of Healthcare.- Strategies for AI in Healthcare Implementation.