Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI in Clinical Diagnosis, Prediction, and Patient Care

AI in Clinical Diagnosis, Prediction, and Patient Care

Zhao, Jingyuan

Hardcover

Medical ReferenceGeneral Computers

ISBN13: 9798260009864
Publisher: Igi Global Scientific Publishing
Published: Apr 9 2026
Pages: 480
Weight: 2.05
Height: 0.94 Width: 7.00 Depth: 10.00
Language: English
Artificial intelligence (AI) shapes clinical medicine by enhancing diagnosis, prediction, and patient care. Through advanced techniques like machine learning and data analytics, AI systems identify patterns in complex medical data, enabling earlier and more accurate detection of diseases and improved risk prediction. These technologies support clinicians in decision-making and help personalize treatment plans based on individual patient profiles. As AI becomes more integrated into healthcare settings, it may improve efficiency, reduce errors, and deliver more patient-centered care, while raising important questions around ethics, trust, and implementation. AI in Clinical Diagnosis, Prediction, and Patient Care explores how AI supports clinical diagnosis, predicts health outcomes, and enhances patient care. It examines the effectiveness, challenges, and ethical considerations of integrating AI technologies into medical practice. This book covers topics such as medical diagnostics, deep learning, and intelligent imaging, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and scientists.

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