AI 在医疗保健领域的前景和隐患.pdf

1、Promise and Peril of AI in HealthcareKEVIN KILEYDECEMBER 2024Trends in AI-driven healthcare|Airia2Virtual Health AssistantsAI in Medical ImagingAI-Augmented WorkforceA break down of what US hospitals want to prioritize the use of AI as of 2023How AI is currently being used in healthcare|Airia3Addres

2、sing the challenges and risks of AI in healthcare|Airia4Accuracy ConcernsData Security RisksBias in DataRegulatory CompliancePatient PrivacyTrust ChallengesTransforming healthcare with AI agents|Airia5Care DeliveryDrug DiscoveryPatient EngagementAI agents are revolutionizing key areas of healthcare

3、by enhancing:How AI will revolutionize patient care|Airia6Transform Patient MonitoringProactive InterventionsEarly DetectionPredictive InsightsEnhanced OutcomesGlobal examples of AI in healthcare|Airia7|Airia8ADOPT EXISTINGMODELCreate&Maximize AI ValueEffort&ComplexityDATAPROMPTSGOVERNANCESECURITYCR

4、EATE&CONTROLMULTIPLE MODELSTOOLS&TECHNOLOGIESDEPLOYMENT STRATEGIESDOMAIN MODELSCOMPANY MODELSGOVERNANCE POLICIESSECURITY FRAMEWORKSPROMPTS&FINE-TUNINGHIGHER VALUELOWER RISKLOWER VALUEHIGHER RISKSpeed bumps to realize higher value&ROIData IntegrationSecurityCostLegal and IPRegulatory and Governance C

5、hallengesBrand and Reputational Risk|Airia9Your organizations data has always been one of your most valuable assets.Data IntegrationModelsPromptsTuningPoliciesGovernanceNow,its not just your data,its your AI Now,its not just your data,its your AI strategy&platformAccelerate and secure AI deployments

6、 with a comprehensive platformEnterprise AI PlatformAI GatewayCost OptimizationDeveloper StudioIntelligent RoutingModel LifecycleModel GuardrailsObservabilityOrchestrationPrototype&TestingPrompt StudioPrompt ManagementSecurity&GovernanceData IntegrationEnterprise SecurityResponsi