02834nam 2200649Ia 450 991097212990332120251116173553.01-134-78956-497866113257251-134-78957-21-281-32572-40-203-43522-210.4324/9780203435229 (CKB)1000000000255345(EBL)170087(OCoLC)51261951(SSID)ssj0000244886(PQKBManifestationID)11235711(PQKBTitleCode)TC0000244886(PQKBWorkID)10174234(PQKB)10601113(MiAaPQ)EBC170087(Au-PeEL)EBL170087(CaPaEBR)ebr10054813(CaONFJC)MIL132572(EXLCZ)99100000000025534519980915d1999 uy 0engur|n|---|||||txtccrThe shadow and the counsellor working with darker aspects of the person, role and profession /Steve Page1st ed.London ;New York Routledge19991 online resource (182 p.)Description based upon print version of record.0-415-13145-6 0-415-13144-8 Includes bibliographical references (p. [154]-162) and indexes.Book Cover; Title; Contents; List of illustrations; Acknowledgements; Introduction; Counsellor: person, shadow and mask; Development of the counsellor and the incorporation of shadow; Denying the shadow; Recognising the shadow; Confronting the shadow; Incorporating the shadow; Shadow as guide; The client: mask, person and shadow; The shadow of the profession; Notes; Bibliography; Author index; Subject indexThe Shadow and the Counsellor introduces the concept of shadow, the darker side to ourselves that we do not wish to acknowledge, or do not even recognise. It examines how it comes into being and explores its impact within counselling. The Shadow and the Counsellor is structured around a six stage model which is designed to help the counsellor recognise, confront and deal with their 'shadow' side. This can then be a framework for reflection and practical action.With case studies including short clinical examples to longer examples running through the book, this will give cCounselorsCounselingShadow (Psychoanalysis)Counselors.Counseling.Shadow (Psychoanalysis)158/.3Page Steve1955-1876504MiAaPQMiAaPQMiAaPQBOOK9910972129903321The shadow and the counsellor4488199UNINA04438nam 22006135 450 991104765930332120251122120359.0981-9543-38-X10.1007/978-981-95-4338-0(MiAaPQ)EBC32427277(Au-PeEL)EBL32427277(CKB)43675267300041(DE-He213)978-981-95-4338-0(EXLCZ)994367526730004120251122d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierArtificial Intelligence in Medical Diagnostics /by Takanobu Hirosawa1st ed. 2025.Singapore :Springer Nature Singapore :Imprint: Springer,2025.1 online resource (267 pages)Medicine Series981-9543-37-1 Chapter 1 Introduction to Medical Diagnosis -- Chapter 2 Historical Evolution of Diagnostic Techniques -- Chapter 3 Overview of Diagnostic Clinical Decision Support Systems -- Chapter 4 Overview of AI and Generative AI -- Chapter 5 The Potential of AI in Diagnostics -- Chapter 6 Bridging the Gap: Collaboration Between AI Developers and Health Care Professionals -- Chapter 7 Useful Concept of AI in Diagnostics -- Chapter 8 Understanding Core AI Concepts: Machine Learning, Overfitting, and Quantification -- Chapter 9 Case Studies in AI-Enhanced Diagnostics -- Chapter 10 The Limitations of AI in Diagnostics -- Chapter 11 Ethical and Regulatory Considerations in AI Diagnostics -- Chapter 12 Interdisciplinary Collaboration for AI Development -- Chapter 13 Challenges and Solutions in AI Deployment -- Chapter 14 Training and Education for AI in Health Care -- Chapter 15 The Future Direction of AI in Diagnostics.This book provides a comprehensive introduction to the role of artificial intelligence (AI) in medical diagnostics, specifically targeting medical professionals who are unfamiliar with digital health and AI. It also aims to bridge the gap for AI developers who wish to deepen their understanding of clinical medicine. By examining how AI can improve diagnostic accuracy, reduce human error, and facilitate personalized medicine, this book is an indispensable resource for those seeking to harness the power of AI in healthcare. The chapters cover a range of critical topics, including the historical evolution of diagnostic techniques, ethical and legal considerations in AI diagnostics, and the potential of AI to transform clinical decision support systems. Readers will gain insights into core AI concepts such as machine learning, overfitting, and quantification, which are essential for refining diagnostic processes. The book also explores into the limitations and risks associated with AI, such as data bias and transparency issues, ensuring a well-rounded understanding of the challenges and opportunities in this field. Designed for medical professionals and AI experts, this book fosters interdisciplinary collaboration, paving the way for a future where hybrid intelligence—combining human and artificial intelligence—leads to more accurate, efficient, and patient-centered diagnostics. Through case studies and expert contributions, readers will discover practical solutions for AI deployment and training in healthcare settings. Whether you're a clinician looking to integrate AI into your practice or an AI developer seeking to understand clinical applications, this book equips you with the knowledge and tools to navigate the evolving landscape of medical diagnostics.Medicine SeriesDiagnosisArtificial intelligenceInternal medicineMedical ethicsDiagnosisArtificial IntelligenceInternal MedicineMedical EthicsDiagnosis.Artificial intelligence.Internal medicine.Medical ethics.Diagnosis.Artificial Intelligence.Internal Medicine.Medical Ethics.616.075Hirosawa Takanobu1865031MiAaPQMiAaPQMiAaPQBOOK9911047659303321Artificial Intelligence in Medical Diagnostics4472041UNINA