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Evaluations of AI Applications in Healthcare · LearnSpace
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Evaluations of AI Applications in Healthcare

Курс от Stanford Online
Начальный≈ 11.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

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With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions. In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.

Навыки, которые вы освоите

Regulatory ComplianceHealth EquityPredictive ModelingHealthcare EthicsContinuous MonitoringPrecision MedicineClinical AssessmentApplication DeploymentHealth TechnologyHealth DisparitiesResponsible AIClinical InformaticsData EthicsAI IntegrationsHealthcare Industry Knowledge

Программа курса

8 модулей · 127 учебных материалов

01AI in Healthcare15 материалов

Current AI Models in Healthcare

Learning ObjectivesВидеоCommon DefinitionsВидеоOverviewВидеоWhy AI is needed in HealthcareВидео

Учитесь у экспертов

Tina Hernandez-Boussard

Associate Professor

Mildred Cho

Professor

Evaluations of AI Applications in Healthcare
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Обучение на Coursera

≈ 11.5 ч

8 модулей

Язык: Английский

Субтитры: Китайский (Тайвань), Арабский, Французский, Бенгальский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Финский, Казахский, Малайский, Венгерский, Польский

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Reflection Exercise 1Задание
Examples of AI in HealthcareВидео

Growth of AI in Healthcare

Growth of AI in HealthcareВидеоQuestions Answered by AIВидео

How to Know if an AI model is Good

AI OutputВидеоReflection Exercise 2ЗаданиеThink beyond area under the curveВидеоRecapВидеоKnowledge CheckЗаданиеStudy Guide Module 1ЧтениеCitations and Additional ReadingsЧтение
02Evaluations of AI in Healthcare21 материалов

A Framework for Evaluation

Learning ObjectivesВидеоRecap: FrameworkВидеоStakeholdersВидеоClinical UtilityВидеоReflection Exercise 1Задание

Outcome: Action Pairing

Outcome: Action Pairing, An OverviewВидеоLead TimeВидеоType of ActionВидеоReflection Exercise 2ЗаданиеOAP ExamplesВидео

Clinical Utility

Number Needed to TreatВидеоNet BenefitsВидеоDecision CurvesВидео

Feasibility

Feasibility overviewВидеоImplementation CostsВидеоClinical Evaluation and UptakeВидеоReflection Exercise 3Задание

Summary

SummaryВидеоKnowledge CheckЗаданиеStudy Guide Module 2ЧтениеCitations and Additional ReadingsЧтение
03AI Deployment26 материалов

AI Deployment

Learning ObjectivesВидеоThe ProblemВидеоPractical Questions Prior to DeploymentВидеоDeployment PathwayВидеоReflection Exercise 1Задание

Design and Development

Design and DevelopmentВидеоStakeholder InvolvementВидеоData Type and SourcesВидеоSettingsВидео

Evaluate and Validate

In Silico EvaluationВидеоNet Utility & Work CapacityВидеоStatistical ValidityВидео

Product Validation

Care Integration, Silent ModeВидеоClinical Integration, ConsiderationsВидеоTechnical IntegrationВидео

Difuse and Scale

Deployment ModalitiesВидеоReflection Exercise 2Задание

Monitoring and Maintenance

Continuous Monitoring and MaintenanceВидеоReflection Exercise 3Задание

Challenges

Challenges of DeploymentВидеоSepsis ExampleВидеоReflection Exercise 4Задание

Summary

SummaryВидеоKnowledge CheckЗаданиеStudy Guide Module 3ЧтениеCitations and Additional ReadingsЧтение
04Downstream Evaluations of AI in Healthcare: Bias and Fairness25 материалов

Bias in AI Solutions

Learning ObjectivesВидеоReal World Examples of AI BiasВидео

Types of Bias

Introduction - Types of BiasВидеоHistorical BiasВидеоRepresentation BiasВидеоMeasurement BiasВидеоAggregation BiasВидеоEvaluation BiasВидеоDeployment BiasВидеоReflection Exercise 1Задание

Algorithmic Fairness

What is algorithmic FairnessВидеоAnti-classificationВидеоParity ClassificationВидеоCalibrationВидеоApplying Fairness MeasuresВидеоReflection Exercise 2Задание

Transparency

Lack of TransparencyВидеоMinimal Reporting StandardsВидеоReflection Exercise 3Задание

Downstream Evaluations

Opportunities and ChallengesВидеоReflection Exercise 4Задание

Summary

SummaryВидеоKnowledge CheckЗаданиеStudy Guide Module 4ЧтениеCitations and Additional ReadingsЧтение
05 The Regulatory Environment for AI in Healthcare24 материалов

Overview

Learning ObjectivesВидеоThe ProblemВидео

Components of Regulation

International Definitions Used for Regulatory PurposesВидеоDefinition Statement & Risk FrameworkВидеоReflection Exercise 1Задание

Clinical Evaluation Process

Valid Clinical AssociationВидеоAnalytical Evaluation ВидеоClinical EvaluationВидео

FDA Application

General ControlВидеоde novo NotificationsВидеоSoftware ModificationВидео

Product Approval

TPLCВидеоLocked vs Adapted AI solutionsВидеоExamplesВидеоNon-Regulated ProductsВидеоReflection Exercise 2Задание

Global Environment

EU RegulationsВидеоChinese GuidelinesВидеоOMB GuidelinesВидеоReflection Exercise 3Задание

Summary

SummaryВидеоKnowledge CheckЗаданиеStudy Guide Module 5ЧтениеCitations and Additional ReadingsЧтение
06Best Ethical Practices for AI in Health Care3 материалов

Best Ethical Practices

Problem FormulationЧтениеIdentifying Conflicts of InterestЧтениеMitigating Conflicts of InterestЧтение
07AI and Medicine (Optional Content)9 материалов

AI and Medicine

Introduction: Navigating the Intersections of AI and MedicineВидеоLife Cycle of AIВидео

AI Biases

A Deep Dive into Historical and Societal DimensionsВидеоRace-Based Medicine and Race-Aware ApproachВидеоBias Mitigation StrategiesВидео

Generative AI, Medicine and Healthcare

Exploring Potentials and Ethical QuandariesВидеоDismantling Race-Based MedicineВидеоDeploying AI into Healthcare SettingsВидео

Conclusion

ConclusionВидео
08Course Wrap Up4 материалов

Final Exam

Final Assessment NoteЧтениеFinal ExamЗаданиеClaim CME CreditЧтениеFull Study GuideЧтение