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£150.61
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ARTIFICIAL INTELLIGENCE IN INTERNAL MEDICINE 2026: Radiology, Diagnostics, Patient Risk Analytics, Large Language Models, and Smart Technologies Reshaping the Future of Healthcare Systems
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Description
Artificial intelligence is now embedded across internal medicine, from imaging and laboratory diagnostics to risk prediction and clinical decision support. Its presence is no longer optional. Its correct use, however, remains uneven, and in many settings, poorly understood. This book is written for clinicians who want more than surface-level familiarity. It provides a structured, practice-oriented approach to understanding, evaluating, and applying AI within real clinical environments. A Clinician-Focused Approach Rather than emphasizing technical theory, this text concentrates on how AI systems behave in practice, how their outputs should be interpreted, and where their limitations become clinically relevant. It is designed to support careful judgment, not replace it. Core Areas Covered Interpretation of AI-assisted imaging and laboratory outputs in complex clinical contexts Recognition of overcalls, missed findings, and algorithmic artifacts Practical use of early warning systems and predictive models without over-reliance Frameworks for evaluating AI tools prior to clinical adoption Integration of AI into ward and outpatient workflows with minimal disruption Communication of AI-informed decisions to patients and multidisciplinary teams Governance, safety, and bias considerations in everyday clinical use Practical Value The content is structured around real clinical workflows and decision points. It includes: Applied frameworks for evaluating and monitoring AI systems Structured checklists for safe implementation Case-based reasoning reflecting common and high-risk scenarios Operational strategies for departments introducing AI into practice Intended Audience This book is suitable for: Internal medicine physicians and subspecialists Residents and trainees seeking structured exposure to AI in practice Clinical leads and departments implementing AI-supported systems Healthcare professionals involved in quality improvement and patient safety A Measured Perspective AI has the potential to improve diagnostic accuracy, anticipate clinical deterioration, and support more proactive care. At the same time, its limitations require careful oversight, critical evaluation, and clear accountability. This text approaches AI as a clinical tool, to be understood, tested, and applied with the same rigor as any other component of patient care. Artificial Intelligence in Internal Medicine 2026 provides a clear, structured foundation for clinicians who intend to engage with AI thoughtfully and responsibly within modern medical practice. Order your copy today.
Product Specifications
- Format
- hardcover
- ASIN
- B0H688JG2Z
- Domain
- Amazon UK
- Release Date
- 20 June 2026
- Listed Since
- 21 June 2026
Barcode
No barcode data available
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