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- W4286371330 abstract "AbstractThis chapter explores the AI technologies in healthcare. We start with emphasis on a backward-chaining expert system MYCIN and IBM Watson for Oncology cognitive technology-incorporating and AI-integrating project. Then we describe the current AI technologies in healthcare like machine learning, artificial neural networks, computer vision, human unstructured natural language processing, and others. AI applications in healthcare like virtual nursing assistants, robot-assisted surgery, fraud detection, dosage error reduction, connected machines and clinical trial participant identifiers, diagnosis applications, and wearable tech are explored. Case studies include COTA Health, Babylon, and wearable technologies supporting AI in healthcare.KeywordsElectronic health recordsMedical chatbotsVirtual nursesRobotic surgeryRobot-assisted surgeryBackward-chaining expert systemData miningHealthcare managementNatural language processingFeedback trackingEvidence-based treatment optionsMachine learningArtificial neural networksComputer visionSmart devicesWearable technologiesDiagnostic applicationsResearch applicationsQuality-of-life applicationsPersonalized exercise programsVirtual nursing assistantsConnected machinesDosage error reductionPrecision analyticsDeep learningRemote monitoring" @default.
- W4286371330 created "2022-07-21" @default.
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- W4286371330 date "2022-01-01" @default.
- W4286371330 modified "2023-10-14" @default.
- W4286371330 title "Artificial Intelligence in Healthcare" @default.
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- W4286371330 doi "https://doi.org/10.1007/978-3-031-05740-3_18" @default.
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