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Self-track Oral Ulcer Mobile Application : stoUma Artificial Intelligence (@stoUmaAI)

Self-track oral ulcer mobile application @ stoUmaAI: An innovative mobile application equipped with artificial intelligence (AI) technology features applied in the medical and dentistry world. This innovation is primarily focusing on oral ulcer pre-assessment evaluation and patient care. Oral ulcera...

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Main Author: Wan Ahmad Kamil, Wan Nurhazirah
Format: Video
Language:English
Published: 2022
Subjects:
Technological innovations
Online Access:https://ir.uitm.edu.my/id/eprint/12767/1/12763.mp4
https://ir.uitm.edu.my/id/eprint/12767/
http://stouma.great-site.net/
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record_format eprints
spelling my.uitm.ir.127672022-03-28T04:50:52Z https://ir.uitm.edu.my/id/eprint/12767/ Self-track Oral Ulcer Mobile Application : stoUma Artificial Intelligence (@stoUmaAI) Wan Ahmad Kamil, Wan Nurhazirah Technological innovations Self-track oral ulcer mobile application @ stoUmaAI: An innovative mobile application equipped with artificial intelligence (AI) technology features applied in the medical and dentistry world. This innovation is primarily focusing on oral ulcer pre-assessment evaluation and patient care. Oral ulceration is the most common manifestation of oral disease with pain and extreme discomfort as its clinical presentation. The COVID-19 pandemic has hindered the accessibility of routine dentistry appointments to minimize viral transmission via infected saliva. Thus, an alternative method for a patient’s pre-diagnosis evaluation and oral care of oral ulceration is urgently needed. The stoUmaAI encompasses three primary interactive interfaces; (1) general information on oral ulceration, (2) patient profile, and (3) clinician interface for feedback and advice. A user-friendly mobile app provides patients with pre-diagnosis, a built-in camera interface, and a self-monitoring interface that allows patients to keep track of their oral ulcers daily and ensures that oral health consultations can be handled remotely. Since the oral cavity is easily accessible for clinical examination, intraoral photographing can be carried out by the patients and stored in the app in seconds. Developing the Self Track Oral Ulcer Mobile Application @ stoUmaAI prototype involves the machine learning engine using Convolutional Neural Network (CNN) architecture which consists of four phases. 2022 Video PeerReviewed video en https://ir.uitm.edu.my/id/eprint/12767/1/12763.mp4 (2022) Self-track Oral Ulcer Mobile Application : stoUma Artificial Intelligence (@stoUmaAI). [Video] (Unpublished) http://stouma.great-site.net/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Technological innovations
spellingShingle Technological innovations
Wan Ahmad Kamil, Wan Nurhazirah
Self-track Oral Ulcer Mobile Application : stoUma Artificial Intelligence (@stoUmaAI)
description Self-track oral ulcer mobile application @ stoUmaAI: An innovative mobile application equipped with artificial intelligence (AI) technology features applied in the medical and dentistry world. This innovation is primarily focusing on oral ulcer pre-assessment evaluation and patient care. Oral ulceration is the most common manifestation of oral disease with pain and extreme discomfort as its clinical presentation. The COVID-19 pandemic has hindered the accessibility of routine dentistry appointments to minimize viral transmission via infected saliva. Thus, an alternative method for a patient’s pre-diagnosis evaluation and oral care of oral ulceration is urgently needed. The stoUmaAI encompasses three primary interactive interfaces; (1) general information on oral ulceration, (2) patient profile, and (3) clinician interface for feedback and advice. A user-friendly mobile app provides patients with pre-diagnosis, a built-in camera interface, and a self-monitoring interface that allows patients to keep track of their oral ulcers daily and ensures that oral health consultations can be handled remotely. Since the oral cavity is easily accessible for clinical examination, intraoral photographing can be carried out by the patients and stored in the app in seconds. Developing the Self Track Oral Ulcer Mobile Application @ stoUmaAI prototype involves the machine learning engine using Convolutional Neural Network (CNN) architecture which consists of four phases.
format Video
author Wan Ahmad Kamil, Wan Nurhazirah
author_facet Wan Ahmad Kamil, Wan Nurhazirah
author_sort Wan Ahmad Kamil, Wan Nurhazirah
title Self-track Oral Ulcer Mobile Application : stoUma Artificial Intelligence (@stoUmaAI)
title_short Self-track Oral Ulcer Mobile Application : stoUma Artificial Intelligence (@stoUmaAI)
title_full Self-track Oral Ulcer Mobile Application : stoUma Artificial Intelligence (@stoUmaAI)
title_fullStr Self-track Oral Ulcer Mobile Application : stoUma Artificial Intelligence (@stoUmaAI)
title_full_unstemmed Self-track Oral Ulcer Mobile Application : stoUma Artificial Intelligence (@stoUmaAI)
title_sort self-track oral ulcer mobile application : stouma artificial intelligence (@stoumaai)
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/12767/1/12763.mp4
https://ir.uitm.edu.my/id/eprint/12767/
http://stouma.great-site.net/
_version_ 1729707395984130048
score 13.211869

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