FOUNDATIONS OF ARTIFICIAL INTELLIGENCE IN GERIATRIC PRACTICE: Dementia Diagnosis, Fall Risk Prediction, Polypharmacy Management, and Digital Health Integration Using Machine Learning for Clinicians

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Bol Older adults are now being assessed, monitored, and treated inside digital workflows that can help or harm depending on how well clinicians understand them.Foundations of Artificial Intelligence in Geriatric Practice is the 2026 edition for clinicians who need a practical framework for dementia diagnosis, fall risk prediction, polypharmacy management, and digital health integration without surrendering judgment to software.This book translates machine learning into bedside reasoning, implementation choices, and patient-safe workflows. It also includes clinical illustrations and a QR-linked companion course with 100+ videos for rapid reinforcement.- 25 structured chapters for memory care, fall prevention, medication safety, and telegeriatrics- Decision-focused explanations of model design, validation, bias, and governance- Clinical images, workflow tables, and practice-ready implementation guidance- Case studies that show how geriatric teams can deploy AI without losing accountabilityUse this reference to bring AI into geriatric practice with clearer reasoning, better safeguards, and stronger patient-centered care.

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Older adults are now being assessed, monitored, and treated inside digital workflows that can help or harm depending on how well clinicians understand them.Foundations of Artificial Intelligence in Geriatric Practice is the 2026 edition for clinicians who need a practical framework for dementia diagnosis, fall risk prediction, polypharmacy management, and digital health integration without surrendering judgment to software.This book translates machine learning into bedside reasoning, implementation choices, and patient-safe workflows. It also includes clinical illustrations and a QR-linked companion course with 100+ videos for rapid reinforcement.- 25 structured chapters for memory care, fall prevention, medication safety, and telegeriatrics- Decision-focused explanations of model design, validation, bias, and governance- Clinical images, workflow tables, and practice-ready implementation guidance- Case studies that show how geriatric teams can deploy AI without losing accountabilityUse this reference to bring AI into geriatric practice with clearer reasoning, better safeguards, and stronger patient-centered care.


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  • 9798186014072
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