Natural Language Processing for Healthcare

Section I: Foundations of NLP in Healthcare<br>1. The Digital Health Revolution: Natural Language Processing Technologies Reshaping Patient Care and Medical Documentation<br>2. Large Language Models and Generative AI in Healthcare: Multimodal Intelligence, Clinical Integration, and the Future of Medical Practice<br>3. Navigating the Utility of Generative Artificial Intelligence in Healthcare Delivery<br>4. GENERATIVE ARTIFICIAL INTELLIGENCE IN MEDICINE<br><br>Section II: Core Technologies and Approaches<br>5. Advancing Patient Care with Conversational AI: Applications, Challenges, and Future Directions<br>6. The Voice Revolution in Medicine: Reshaping Clinical Workflows with Voice Assistants and Speech Recognition<br>7. MACHINES THAT UNDERSTAND ILLNESS: Natural Language Processing based hospital kiosk systems<br>8. Telehealth Workspaces for Healthcare Providers<br><br>Section III: Applications and Case Studies<br>9. AI-Driven Innovations in Infectious Disease Detection and Control<br>10. Depression Identification from Social Media using n-gram based Deep Neural Network<br>11. HeaLytix: Comparative Analysis of Classification Algorithms and Deep Learning Optimizers For Cardiac Disease Detection<br>12. 3D U-Net based Segmentation of Liver Vessels from Computed Tomography Images<br>13. Revolutionizing Patient Care with Digital Twins: A Smart Healthcare Perspective<br><br>Section IV: Global, Ethical, and Technical Challenges<br>14. Legal And Regulatory Compliance In Digital Twin - Enabled Healthcare<br>15. Multilingual NLP, Personalisation, and Global Health<br>16. AI for Multilingual, Human Centered Personalization, and Public Health<br>17. Data Privacy, Security, and Ethics in Medical NLP<br>18. Federated Learning, Explainability, and the Road Ahead