Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14356/2897
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dc.contributor.authorKoirala, Ranjana-
dc.contributor.authorBhandari, Prasiddha-
dc.contributor.authorLuitel, Nishant-
dc.contributor.authorPoudel, Kanchan-
dc.contributor.authorAcharya, Bishram-
dc.contributor.authorGhimire, Angelina-
dc.contributor.authorDhakal, Dr. Prajjwal-
dc.contributor.authorShah, Dr. Abhisekh-
dc.contributor.authorRegmi, Dr.Pradeep Raj-
dc.contributor.authorKhanal, Dr. Bishesh-
dc.date.accessioned2026-05-13T05:48:58Z-
dc.date.available2026-05-13T05:48:58Z-
dc.date.issued2026-
dc.identifier.urihttps://hdl.handle.net/20.500.14356/2897-
dc.language.isoen_USen_US
dc.titleAI-powered task-shifting for high quality fetal ultrasound service in community healthcare settingsen_US
dc.typePresentationen_US
Appears in Collections:Day I, 10 April 2026; Parallel sessions III: Hall C; AI, Health Technology and Innovation (Dr. Guna Nidhi Sharma, Peof. Dr. Prakash Ghimire)

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