This book explores the transformative role of artificial intelligence (AI) in healthcare, emphasizing its shift from a futuristic concept to an essential part of modern medical systems. The articles cover a range of AI applications, from disease diagnosis and drug design to patient engagement and mental health treatment. Advances in machine learning (ML) and deep learning (DL) technologies have opened new possibilities for diagnosing complex conditions, with examples like predictive analysis for health risks and early diagnosis of diseases such as breast cancer and diabetic retinopathy. Additionally, AI's role in treating mental health disorders is highlighted. While AI offers vast benefits, the book stresses the importance of ethical considerations, such as patient privacy and equitable access. It also addresses challenges in integrating AI within existing healthcare systems, underscoring collaboration among stakeholders as crucial. This book ultimately provides a comprehensive look at AI’s potential to reshape healthcare.
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.
