A5037947125- Hand Gesture Recognition Systems
- Mobile Health and mHealth Applications
- Artificial Intelligence in Healthcare and Education
- Technology Adoption and User Behaviour
- Human Pose and Action Recognition
- Digital Marketing and Social Media
- Online Learning and Analytics
- Health Literacy and Information Accessibility
- COVID-19 diagnosis using AI
- Gait Recognition and Analysis
- Face recognition and analysis
- Human Motion and Animation
- Face Recognition and Perception
- Digital Media Forensic Detection
- Ethics in Clinical Research
- COVID-19 Digital Contact Tracing
- Education and Critical Thinking Development
- Telemedicine and Telehealth Implementation
- Vehicle Routing Optimization Methods
- Organizational and Employee Performance
- Face and Expression Recognition
- Facial Nerve Paralysis Treatment and Research
- Gaze Tracking and Assistive Technology
- Antibiotic Use and Resistance
- Social Media in Health Education
Imam Abdulrahman Bin Faisal University
2019-2025
King Faisal University
2024
Brunel University of London
2019-2020
University College London
2019
University of London
2019
St. Mary's University, Texas
2019
Deepfake is a technology that creates fake images and videos with replaced or synthesized faces. Deepfakes are becoming concerning social phenomenon, as they can be maliciously used to generate false political news, disseminate dangerous information, falsify electronic evidence, commit digital harassment fraud. The ease accuracy of creating have been bolstered by the popularity wearing face masks since beginning infectious disease outbreak (2020). Because these obstruct defining facial...
Study purpose This paper aims to explore the effectiveness of ChatGPT in facilitating learning for medical students with special educational needs (SEN) while acknowledging and addressing challenges that SEN may encounter utilizing this technology. Methods cross-sectional survey study assessed ChatGPT's efficacy supporting across three Saudi Arabian universities. Utilizing purposive convenience sampling, a questionnaire was administered 283 students. Statistical analyses, including t-tests...
Purpose This study aims to investigate the opportunities and challenges of adopting ChatGPT in medical research. Methods A qualitative approach with focus groups is adopted this study. total 62 participants including academic researchers from different streams medicine eHealth, participated Results five themes 16 sub-themes related opportunities; a 12 were identified. The major include improved data collection analysis, communication accessibility, support for multiple identified limitations...
Abstract Social media has great importance in the community for discussing many events and sharing them with others. The primary goal of this research is to study quality sentiment analysis (SA) impressions about Saudi cruises, as a first event, by creating datasets from three selected social media platforms (Instagram, Snapchat, Twitter). outcome will help understanding opinions passengers viewers their cruise experiences analyzing feelings posts. After cleaning, experiment contains 1200...
Study purpose: This study aims to assess the effectiveness of ChatGPT in critical thinking skills among medical students. Methods: cross-sectional survey recruited 392 students from three public universities Saudi Arabia. Participants completed an online questionnaire assessing perceptions ChatGPT's impact on skills. Data were analyzed using SPSS, employing descriptive statistics, t-tests, analysis variance, and Cronbach's alpha evaluate reliability. Results: Significant gender-based...
Study purpose this study aims to investigate the extent which ChatGPT enhances medical educators’ pedagogical practices, fosters reflective teaching, and contributes their ongoing learning growth. Methods cross-sectional survey assessed ChatGPT's efficacy in contributing professional development among educators. Utilizing purposive convenience sampling, a questionnaire was administered 309 Statistical analyses, including t-tests ANOVA, were conducted evaluate perceptions of effectiveness,...
General population knowledge, satisfaction, and barriers to using Seha app have not been evaluated from a large-scale perspective. Therefore, this study aimed explore current of identify the most common mobile health application used among general in Saudi Arabia.A cross-sectional online survey, consisting 25 questions, was distributed Arabia. Descriptive statistics were describe respondents' characteristics. Categorical variables reported as frequencies percentages. A chi-square (χ2) test...
A human gesture is a non-verbal form of communication and critical in human-robot interactions. Vision-based recognition methods play key role to detect hand motion support such Hand allows appropriate, usable interface between users devices. gestures can be used for various fields which makes it able implemented further. not only useful people who are hearing-impaired or disabled but also the have experienced stroke, as they need communicate with other using different common essential sign...
The load pressure on electrical power system is increased during last decade. installation of new generators (PGs) take huge time and cost. Therefore, to manage current demands, the solar plants are considered a fruitful solution. However, critical caring balance output in highlighted issues. Which needs proper procedure order minimize issues plants. This paper investigates artificial neural network (ANN) hybrid boost converter (HBC) based MPPT for improving proposed model analyzed two...
This work presents a novel Best-Worst Ant System (BWAS) based algorithm to settle the Traveling Salesman Problem (TSP). The researchers has been involved in ordinary Colony Optimization (ACO) technique for TSP due its versatile and easily adaptable nature. However, additional potential improvement arrangement way decrease is yet possible this approach. In paper BWAS incorporated as high level type of ACO upgrade exhibition proposed. addition, approach, on hybrid Particle Swarm (PSO) also...
<title>Abstract</title> Recently, technology has been widely integrated across the educational landscape. Artificial Intelligence (AI) tools have become essential components of students' learning practices, requiring an examination impact each tool. The aim this study is to investigate ChatGPT tool on university students’ practices. A quantitative online survey was adopted using cross-sectional design collect data from students at King Saud and Imam Abdulrahman Bin Faisal in Saudi Arabia....
Background: Procalcitonin (PCT) has been used as a biomarker to guide antibiotic therapy in various patient populations. However, its role optimizing use COVID-19 patients not well studied date. Thus, we aimed evaluate the of serial PCT monitoring an antimicrobial stewardship tool for patients. Methods: This retrospective study included 240 who were admitted tertiary medical institution Saudi Arabia between January 2020 and February 2022. Patients received empiric community-acquired...
Purpose: This study aims to assess the effectiveness of ChatGPT in remote learning among medical students. Methods: cross-sectional survey recruited 386 students from three public universities Saudi Arabia. Participants completed an online questionnaire designed perceptions ChatGPT's learning. The included Likert scale questions evaluate various aspects support learning, such as personalized language and communication skills, interactive quizzing. Data were analyzed using SPSS, employing...
The design of the modern computing paradigm heuristics is an innovative development for parameter estimation direction arrival (DOA) using sparse antenna arrays. In this study, optimization strength flower pollination algorithm (FPA) exploited DOA in a low signal to noise ratio (SNR) regime by applying coprime sensor arrays (CSA). enhanced degree freedom (DOF) achieved with FPA investigating global minima highly nonlinear cost function multiple local minimas. structure CSA demonstrates that...
(1) Introduction: The objective of this study was to evaluate the patient experience with Mawid application during COVID-19 pandemic in Al Hassa, Saudi Arabia. (2) Methodology: A quantitative cross-sectional survey designed app total 146 respondents completed questionnaire. (3) Results: More than half participants (65.8%) opined that easy use. Furthermore, 65.1% considered it be very and search for required information; 63.7% reflected book an appointment. There a statistically significant...
Study purpose It is important to understand the users' perceptions toward use of smartwatches and various factors that affect adoption smart watches. These findings would contribute literature in understanding usage, preferences, needs, expectations about aid designers also decision-makers integrating smartwatch technology service-enabled areas such a healthcare, e-learning etc. To address this gap, objective study was formulated actual consumers' explore critical affecting intention Kingdom...
Gesture recognition is defined as non-verbal motions used a means of communication in Human Computer Interaction. It one the significant aspects HCI, both device interfaces and interpersonally. In virtual reality system, gestures can be to navigate, control or interact with computer. The aim gesture capture that are formed certain way detected by such camera. Hand logical ways generate convenient high adaptability interface between devices users. this paper, system created for hand using...
The objective of this study was to assess the awareness and use health tools provided by portal Ministry Health (MOH) Saudi Arabia public. ology: A cross-sectional conducted MOH questionnaire distributed family, friends, co-workers through WhatsApp. Snow-ball sampling used encourage participants forward survey link their friends colleagues. total 317 people received 110 respondents completed it. had following tools; ideal body weight calculator (10.5%), mass index (9.9%), calorie (8.0%),...
<title>Abstract</title> International tourism has increased by 121% since July 2022, driven efforts to fulfil Saudi Vision 2030 and capitalize on an AI-driven economy. With AI revolutionizing the travel sectors, Chatbots have emerged as popular tools, leveraging natural language processing (NLP) automate responses enhance user experiences. This study addresses 2030’s objectives introducing intelligent Chatbot for improved experiences in Arabia. Through integrating text-divinci-002 model with...