Artificial Intelligence in Telemedicine 1st Edition

Capture the future of care with Artificial Intelligence in Telemedicine, 1st Edition — a timely, practical guide that bridges cutting-edge AI technologies and real-world telehealth practice. Whether you’re a clinician, health IT leader, policy maker, or startup founder, this volume illuminates how intelligent systems are reshaping diagnosis, monitoring, triage, and patient engagement across diverse healthcare settings.

Inside, you’ll find clear explanations of AI-driven methods — from predictive analytics and natural language processing to computer vision and remote patient monitoring — alongside thoughtful coverage of implementation strategies, data governance, and ethical and regulatory challenges. Rich case studies and workflow-focused insights make complex concepts actionable, helping teams deploy scalable telemedicine solutions that improve outcomes and reduce costs.

Designed for a global audience, the book addresses telemedicine applications in the United States, Europe, Asia, and low-resource environments, making it a valuable resource for health systems adapting to regional regulations and infrastructure realities. Readers will appreciate practical checklists, stakeholder-oriented guidance, and examples that translate research into clinical impact.

If you need a comprehensive, approachable reference to guide AI adoption in telehealth, Artificial Intelligence in Telemedicine, 1st Edition is an essential addition to your library — offering evidence-informed perspective and hands-on direction to accelerate safer, smarter remote care. Add this authoritative resource to your collection and lead the next wave of digital health innovation.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.