AI in Healthcare: Transforming Patient Care

artificial intelligence, healthcare, machine learning, telemedicine, diagnostics, patient data, personalized medicine, predictive analytics, medical imaging, robotics, electronic health records, decis

씨익북스 편집부 지음

타우루스 2025년 02월 12일 출간

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책소개

"**AI in Healthcare: Transforming Patient Care** explores the revolutionary impact of artificial intelligence on the healthcare landscape. In a world where technology is rapidly evolving, this book delves into the multifaceted applications of AI, machine learning, and big data in enhancing patient outcomes, streamlining processes, and improving overall healthcare delivery.

From diagnostics to personalized medicine, the book highlights how AI-powered tools are reshaping traditional medical practices. Readers will discover how predictive analytics and advanced medical imaging techniques are being utilized to identify diseases earlier and more accurately, leading to timely interventions. The integration of telemedicine and telehealth is also examined, showcasing how remote monitoring and virtual consultations are bridging gaps in care, especially in underserved populations.

The book emphasizes the significance of electronic health records (EHRs) and decision support systems in optimizing clinical workflows. It addresses the potential of automation in reducing administrative burdens and enhancing efficiency, allowing healthcare professionals to focus more on patient care. Furthermore, the role of wearables and health apps in empowering patients with real-time data and monitoring capabilities is explored, highlighting the shift towards a more patient-centered approach.

Ethical considerations, privacy concerns, and interoperability challenges are critical themes woven throughout the text, encouraging readers to contemplate the responsibilities that accompany the integration of AI in healthcare. The discussion extends to the implications for clinical trials and drug discovery, where AI is streamlining research processes and accelerating the development of new therapies.

Finally, the book provides insights into the future of healthcare, envisioning a landscape where AI not only supports healthcare professionals but also enhances the overall patient experience. AI in Healthcare: Transforming Patient Care is an essential read for healthcare professionals, researchers, policymakers, and anyone interested in understanding how AI is poised to revolutionize the way we approach health and wellness."

목차

"1. The Rise of AI in Modern Medicine
2. Enhancing Diagnostics with Machine Learning
3. Telemedicine: Bridging Gaps in Patient Care
4. Personalizing Treatment Plans Through AI
5. Predictive Analytics in Disease Prevention
6. Revolutionizing Medical Imaging with AI
7. The Role of Robotics in Surgery
8. Integrating Electronic Health Records for Better Care
9. Decision Support Systems in Clinical Practice
10. Innovations in Clinical Trials Using AI
11. Automation in Healthcare: A Double-Edged Sword
12. The Impact of Wearables on Patient Monitoring
13. Health Apps: Empowering Patients through Technology
14. Big Data Analytics in Healthcare Management
15. Ensuring Privacy in an AI-Driven World
16. Ethical Considerations in AI Deployments
17. Interoperability: Connecting Healthcare Systems
18. AI in Drug Discovery: Speeding Up the Process
19. Telehealth: Expanding Access to Care
20. Population Health Management through Data Insights
21. Remote Monitoring: Enhancing Chronic Disease Management
22. The Future of AI in Preventative Healthcare
23. Redefining Patient-Doctor Interactions with AI
24. Understanding Patient Data: Challenges and Solutions
25. The Evolution of Personalized Medicine
26. AI-Driven Insights for Better Patient Outcomes
27. Navigating the Ethics of AI in Healthcare
28. Enhancing Operational Efficiency with Automation
29. The Role of AI in Mental Health Treatment
30. Predictive Modeling for Patient Readmission
31. Integrating AI into Nursing Practices
32. The Importance of Data Interoperability
33. AI and the Future of Emergency Care
34. Transforming Rehabilitation with Robotics
35. The Influence of AI on Health Policy
36. AI in Radiology: A Game Changer
37. Building Trust in AI Systems for Healthcare
38. The Role of AI in Managing Public Health Crises
39. Harnessing AI for Better Patient Engagement
40. Future Trends in Healthcare Technology
41. AI's Contribution to Medical Research
42. Overcoming Barriers to AI Adoption in Healthcare
43. The Integration of AI in Pharmacy Practices
44. AI for Improving Health Equity
45. Addressing Bias in AI Algorithms
46. The Role of AI in Geriatric Care
47. Exploring the Use of Chatbots in Healthcare
48. The Synergy of AI and Traditional Medicine
49. AI in Diagnostics: From Lab to Bedside
50. The Journey Towards AI-Enhanced Healthcare Systems"

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