Show simple item record

dc.contributor.authorAdhikari, Elaen_US
dc.date.accessioned2025-10-10T12:35:54Z
dc.date.available2025-10-10T12:35:54Z
dc.date.issued2025-07
dc.identifier.urihttps://hdl.handle.net/1721.1/163123
dc.description.abstractThis investigation proposes CliniKiosk (Figure 1), an Artificial intelligence (AI)-powered digital health kiosk designed to deliver real-time, evidence-based, multilingual, empathetic, and personalized health assessments that are adaptable to culturally diverse communities. In contrast to traditional health chatbots, it dynamically adapts to users by analyzing demographics, symptoms, and medical history to provide both empathetic and personalized health recommendations.en_US
dc.titleCliniKiosk: An Innovative Technology to Expand Healthcare Accessen_US
dc.typeArticleen_US
dc.relation.journal2025 MIT AI and Education Summit
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record