Ashcombe Dorian P (5 results)

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. Every AI recommendation needs a clinician who can judge its value.A diagnostic suggestion may sound convincing. A risk estimate may look precise. A draft consultation note may read smoothly. Each still requires careful assessment before it influences a patient's care. For the health professional reviewing that output, the essential questions concern its relevance, its limitations, and the decision it is supposed to support. Artificial Intelligence In Medicine For Clinical Decisions addresses this practical responsibility. This full-color guide brings diagnostic reasoning, predictive analytics, treatment planning, clinical documentation, and responsible AI into one connected discussion of care at the bedside, in the consulting room, and across the patient record.The aim is to help you think more clearly about where AI-generated information belongs in your work. What does it add to the assessment? How should it influence your next step? What needs verification before you act? The book's scope follows five areas where those questions matter: Diagnostic reasoning: Examine the relationship between an AI-generated suggestion and the clinical picture. Consider how additional possibilities can inform your assessment while keeping the patient's history, findings, and circumstances central to your judgment.Predictive analytics: Develop your understanding of what predictions contribute to clinical decisions. Approach risk estimates with attention to their meaning and limitations, and consider how they relate to the individual patient whose care you are planning.Treatment planning: Explore the place of AI-supported information when weighing management options. Keep the focus on the reasoning required to assess a recommendation and its relevance to the patient's needs.Clinical documentation: Consider AI's role in preparing and organizing information, alongside the responsibility for reviewing what enters the record. A useful note must accurately represent the encounter and support the care that follows.Responsible use at the point of care: Bring professional accountability into the discussion from the beginning. Consider the limits of automated assistance and the importance of human review wherever AI contributes to clinical work. For physicians, residents, advanced practice clinicians, and medical students, these subjects belong together. An interpretation can influence a treatment plan; the resulting decision must then be documented clearly. Understanding AI across that sequence gives its individual applications a more meaningful clinical context. Whether you are encountering these tools for the first time or taking a closer look at their role in your existing workflow, this guide offers a focused way to approach the subject. It directs attention toward the questions that determine whether an output is useful, relevant, and sufficiently understood to inform care. Your professional judgment remains essential wherever technology contributes information. Give yourself a stronger foundation for exercising it. Order your full-color copy of Artificial Intelligence In Medicine For Clinical Decisions and build the understanding to assess AI recommendations with greater clinical confidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Every AI recommendation needs a clinician who can judge its value.A diagnostic suggestion may sound convincing. A risk estimate may look precise. A draft consultation note may read smoothly. Each still requires careful assessment before it influences a patient's care. For the health professional reviewing that output, the essential questions concern its relevance, its limitations, and the decision it is supposed to support. Artificial Intelligence In Medicine For Clinical Decisions addresses this practical responsibility. This full-color guide brings diagnostic reasoning, predictive analytics, treatment planning, clinical documentation, and responsible AI into one connected discussion of care at the bedside, in the consulting room, and across the patient record.The aim is to help you think more clearly about where AI-generated information belongs in your work. What does it add to the assessment? How should it influence your next step? What needs verification before you act? The book's scope follows five areas where those questions matter: Diagnostic reasoning: Examine the relationship between an AI-generated suggestion and the clinical picture. Consider how additional possibilities can inform your assessment while keeping the patient's history, findings, and circumstances central to your judgment.Predictive analytics: Develop your understanding of what predictions contribute to clinical decisions. Approach risk estimates with attention to their meaning and limitations, and consider how they relate to the individual patient whose care you are planning.Treatment planning: Explore the place of AI-supported information when weighing management options. Keep the focus on the reasoning required to assess a recommendation and its relevance to the patient's needs.Clinical documentation: Consider AI's role in preparing and organizing information, alongside the responsibility for reviewing what enters the record. A useful note must accurately represent the encounter and support the care that follows.Responsible use at the point of care: Bring professional accountability into the discussion from the beginning. Consider the limits of automated assistance and the importance of human review wherever AI contributes to clinical work. For physicians, residents, advanced practice clinicians, and medical students, these subjects belong together. An interpretation can influence a treatment plan; the resulting decision must then be documented clearly. Understanding AI across that sequence gives its individual applications a more meaningful clinical context. Whether you are encountering these tools for the first time or taking a closer look at their role in your existing workflow, this guide offers a focused way to approach the subject. It directs attention toward the questions that determine whether an output is useful, relevant, and sufficiently understood to inform care. Your professional judgment remains essential wherever technology contributes information. Give yourself a stronger foundation for exercising it. Order your full-color copy of Artificial Intelligence In Medicine For Clinical Decisions and build the understanding to assess AI recommendations with greater clinical confidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.