Digital Healthcare and Artificial Intelligence

Foreword by Susan C. Shelmerdine. Foreword by Raymond Bond. Preface. Editors' Biographies. List of Contributors. 1. Introduction and Learning Objectives. 2. Person/Patient-Centred Practice with AI: The Patient, the Practitioner and the Use of Technology to Enable Better Patient Care. 3. Background to Technology Used in Healthcare. 4. Statistical Analyses and Reporting of Performance of AI Models: An Introduction to AI Statistics. 5. Human-Computer Interaction and Biases Associated with Technology Use in the Context of Healthcare. 6. Educating Clinicians of the Future in AI. 7. Opportunities and Equity in Imaging AI: Implications for Indigenous and Underrepresented Populations. 8. AI in Cardiology. 9. AI in Radiology. 10. Artificial Intelligence in Onco-Radiology: From Promise to Practice, Industry to Implementation. 11. The Application of Artificial Intelligence to Histopathology. 12. AI in Ophthalmology. 13. AI in Dermatology: AI-Enabled Diagnostics in Dermatology - A Case Study in Skin Cancer Devices. 14. Sustainability in Clinical AI. Case Study A: Practical Implication - How to Integrate AI Responsibly into Life and Personal Health - The Hear Glue Ear Example. Case Study B: AI for Adaptive Learning - A Case Study in Personalising Mammography Education. Case Study C: Integrating Artificial Intelligence into Healthcare - The Patient's Perspective. Case Study D: Transforming Radiology Workflows at Leiden University Medical Centre (LUMC) - A Case Study in the Clinical Integration of AI for Chest X-Ray Interpretation. Index.

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• Sistemas e serviços de saude
• Equipamento e técnicas médicas
• Inteligência artificial

clinical decision support;health informatics;patient-centered care;bias in medical AI;indigenous health equity;medical image analysis;responsible AI integration in healthcare