Q07 : Sideline Diagnostics: An AI-Enabled Tool Used to Diagnose Emergency Room Patients with POCUS
| Students | Nicholas Pacifici
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| School | HWCD - St. Mary Secondary School - Hamilton |
| Level | Senior 11/12 - Grade 11 |
| Group | Group 10 - Engineering and Computing III |
| Abstract | The objective of this investigation is to revolutionize emergency medical diagnostics in remote areas through the integration of artificial intelligence and point-of-care ultrasound (POCUS). The system is designed to assist emergency room physicians by providing real-time diagnostic guidance, enhancing diagnostic precision, expediting treatment decisions, optimizing patient rehabilitation pathways, and ultimately saving lives. |
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