Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications

ISBN-13: 9780443136719 / Angielski / Miękka / 2024 / 300 str.

Spis treści

1. Artificial Intelligence in Cancer Research and Precision Medicine 2. Artificial Intelligence and Machine Learning in Computational Pathology through Self-Supervised Learning and Vision Transformers 3. Artificial Intelligence in Small Molecule Drug Discovery 4. Artificial Intelligence, Machine Learning and Drug Repurposing in Lung Cancer: State of the Art and Potential Roles for Retinoids 5. Artificial Intelligence and Digital Worlds: New Frontiers of Integration Between AI and Other Technological Tools 6. The dual path of the Technology Acceptance Model: An application of Machine Learning Cardiotocography in delivery rooms 7. Artificial intelligence in diagnostic and predictive pathology 8. Artificial Intelligence in The Oncology Workflow: Applications, Limitations and Future Perspectives 9. SOK: Application of Machine Learning Models in Child and Youth Mental Health Decision Making 10. Cancer Detection in Hyperspectral Imagery using Artificial Intelligence: Current Trends and Future Directions 11. Global research trends of Artificial Intelligence and Machine Learning applied in Medicine: a bibliometric analysis (2012-2022) 12. Ethics and regulations for AI in radiology 13. The Role of Artificial Intelligence in Radiology and Interventional Oncology 14. The multi-omics revolution in the era of deep learning: allies or enemies? 15. Artificial Intelligence in Behavioral Health Economics: Considerations for Designing Behavioral Studies 16. Artificial Intelligence and Medicine: a Psychological Perspective on AI Implementation in Healthcare Context 17. AI for outcome prediction in Radiation Oncology: the present and the future 18. Artificial Intelligence in Neurologic Disease 19. Should I trust this model? Explainability and the black box of artificial intelligence in medicine