Virtual Health Assistant

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dc.contributor.author Amina Abid, 01-134201-011
dc.contributor.author Syed Muhammad Hamza Ali, 01-134201-086
dc.date.accessioned 2024-02-20T07:25:06Z
dc.date.available 2024-02-20T07:25:06Z
dc.date.issued 2023
dc.identifier.uri http://hdl.handle.net/123456789/16954
dc.description Supervised by Dr. Muhammad Asfand-e-Yar en_US
dc.description.abstract In today’s fast-paced medical landscape, the demand for enhanced medical knowledge and rapid access to expert medical guidance is more critical than ever. Clinical physicians frequently encounter patients in need of accurate diagnoses and well-informed treatment decisions. To address this pressing need, we introduce the concept of the Virtual Health Assistant for Clinical Professionals, an innovative initiative aimed at revolutionizing patient care by leveraging cutting-edge technology. The Virtual Health Assistant for Clinical Professionals is designed to offer a user-friendly platform that allows clinicians to input patient symptoms and receive precise medical advice through the utilization of artificial intelligence and machine learning. The key problem this initiative seeks to resolve is the challenge of swiftly and accurately diagnosing patients, offering timely medical guidance, and effectively managing electronic patient records. Clinical physicians often grapple with understanding symptoms, leading to delays in patient care. Additionally, the use of paper-based medical records can be time-consuming and prone to inaccuracies, potentially causing prolonged suffering for patients and creating ambiguity in treatment decisions. The Virtual Health Assistant project aims to bridge these gaps by providing timely support for precise patient diagnosis and treatment recommendations. The primary objectives of this initiative include the development of a user-friendly platform that enables accurate disease identification, personalized medical advice, medication recommendations, and robust patient record management. By integrating advanced systems for symptom analysis and medical history evaluation, clinical professionals can make well-informed decisions regarding patient care. The project’s initial focus is on a web-based platform, with future considerations for a mobile app version to enhance accessibility for clinicians on-the-go. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS(CS);P-02098
dc.subject Virtual en_US
dc.subject Health en_US
dc.subject Assistant en_US
dc.title Virtual Health Assistant en_US
dc.type Project Reports en_US


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