Explanipedia

Wearable Artificial Intelligence for Epilepsy: Scoping Review Open

Sarah Aziz, A. Ali, Hania Aslam, Noor Ul Ain, Amna Tariq , et al. · 2025

Background Epilepsy affects approximately 50 million people globally and imposes a substantial clinical and societal burden, requiring continuous and personalized monitoring for effective management. Wearable artificial intelligence (AI) t…

Multimodal large language models for women’s reproductive mental health Open

Rawan AlSaad, Alaa Youssef, Sara Kashani, Majid Alabdulla, Alaa Abd‐Alrazaq , et al. · 2025

MLLMs hold promise to foster more personalized and precise care in reproductive psychiatry. By mapping opportunities and constraints and proposing a structured evaluation lens, this perspective aims to inform clinicians and researchers, st…

Safety and immunogenicity of a single dose of a JN.1 variant COVID-19 vaccine in previously vaccinated adults: Primary analysis report of a phase 3 open-label trial Open

Katia Alves, Alex Kouassi, J C Nelson, Joyce S. Plested, Raj Kalkeri , et al. · 2025

Background: We evaluated the immunogenicity and safety of a dose of NVX-CoV2705, a JN.1 subvariant SARS CoV-2 rS vaccine, in adults previously vaccinated with authorized/approved COVID-19 vaccines. Methods: Study 2019nCoV-315 is a Phase 3,…

Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review Open

Hiba Alzoubi, Alaa Abd‐Alrazaq, Obada Almaabreh, Rawan AlSaad, Sarah Aziz , et al. · 2025

AI algorithms show promise in detecting and subtyping medulloblastomas, but the findings are limited by overreliance on one dataset, small sample sizes, limited study numbers, and lack of meta-analysis Future research should develop larger…

Automated insulin delivery for safe fasting and exercise during Ramadan in patients with type 1 diabetes: The active fast study Open

Khaled Baagar, Hamda Ali, Fateen Ata, Kawsar Mohamud, Noora Al-Naimi , et al. · 2025

Adults with T1DM can safely fast during Ramadan and exercise using the MiniMed™ 780G to manage diabetes. Findings from this study build on the real-world evidence to enhance clinical guidelines for optimal T1DM care using advanced technolo…

Wearable Artificial Intelligence for Sleep Disorders: Scoping Review Open

Sarah Aziz, A. Ali, Hania Aslam, Alaa Abd‐Alrazaq, Rawan AlSaad , et al. · 2025

Background Worldwide, 30%-45% of adults have sleep disorders, which are linked to major health issues such as diabetes and cardiovascular disease. Long-term monitoring with traditional in-lab testing is impractical due to high costs. Weara…

Leveraging Large Language Models for Sentiment Analysis in Educational Contexts Open

Arfan Ahmed, Sarah Aziz, Alaa Abd‐Alrazaq, Rawan AlSaad, Javaid I. Sheikh · 2025

This short communication presents preliminary findings on the application of Large Language Models (LLMs) for sentiment analysis in educational settings. By analyzing qualitative descriptions derived from student reports, we aimed to asses…

AI Driven Wearables and Large Language Models for Student Well-Being: A Preliminary Study Open

Arfan Ahmed, Sarah Aziz, Alaa Abd‐Alrazaq, Rawan AlSaad, Javaid I. Sheikh · 2025

This short communication presents preliminary findings on the integration of Large Language Models (LLMs) and wearable technology to generate personalized recommendations aimed at enhancing student well-being and academic performance. By a…

Deep learning applications for human embryo assessment using time-lapse imaging: scoping review Open

Rawan AlSaad, Leen Abusarhan, Nuha Odeh, Alaa Abd‐Alrazaq, Fadi Choucair , et al. · 2025

Background The integration of deep learning (DL) and time-lapse imaging technologies offers new possibilities for improving embryo assessment and selection in clinical in vitro Fertilization (IVF). Objectives This scoping review aims to ex…

A fine-tuned convolutional neural network model for accurate Alzheimer’s disease classification Open

Muhammad Zahid Hussain, Tariq Shahzad, Shahid Mehmood, K. Akram, Muhammad Adnan Khan , et al. · 2025

Leveraging LLMs and wearables to provide personalized recommendations for enhancing student well-being and academic performance through a proof of concept Open

Arfan Ahmed, Sarah Aziz, Alaa Abd‐Alrazaq, Rawan AlSaad, Javaid I. Sheikh · 2025

Impact of Organizational Culture and Work Attitude on Employees’ Performance with Mediating Effect of Job Involvement A Case of Higher Education Institutes in Karachi, Pakistan Open

Qanita Imtiaz, Ahmed Ali, Rabia Mumtaz, Arfan Ahmed · 2024

This Study aims to explore that if employees are not performing at their optimal level well, the organization may not reach its targets, which ultimately leads to a decrease in overall organizational performance and also investigates the r…

Beyond Compliance: Harnessing HRM to Champion Decent Work and Economic Growth in Pakistan Open

Syed Usman Shahid, Arfan Ahmed, Taha Shabbir, Syed Arif Hussain · 2024

The aim of this research paper was to examine the role of Human Resource Management (HRM) practices in promoting decent work and contributing towards economic growth in Pakistan. Rather than a compliance-based approach, the study investiga…

Author Correction: The role of blockchain to secure internet of medical things Open

Yazeed Yasin Ghadi, Tehseen Mazhar, Tariq Shahzad, Muhammad Amir Khan, Alaa Abd‐Alrazaq , et al. · 2024

Detection of Sleep Apnea Using Wearable AI: Systematic Review and Meta-Analysis Open

Alaa Abd‐Alrazaq, Hania Aslam, Rawan AlSaad, Mohammed A. Alsahli, Arfan Ahmed , et al. · 2024

Background Early detection of sleep apnea, the health condition where airflow either ceases or decreases episodically during sleep, is crucial to initiate timely interventions and avoid complications. Wearable artificial intelligence (AI),…

Multimodal Large Language Models in Health Care: Applications, Challenges, and Future Outlook Open

Rawan AlSaad, Alaa Abd‐Alrazaq, Sabri Boughorbel, Arfan Ahmed, Max-Antoine Renault , et al. · 2024

In the complex and multidimensional field of medicine, multimodal data are prevalent and crucial for informed clinical decisions. Multimodal data span a broad spectrum of data types, including medical images (eg, MRI and CT scans), time-se…

Multidisciplinary cancer disease classification using adaptive FL in healthcare industry 5.0 Open

Tahir Abbas, Areej Fatima, Tariq Shahzad, Meshal Alharbi, Muhammad Adnan Khan , et al. · 2024

The role of blockchain to secure internet of medical things Open

Yazeed Yasin Ghadi, Tehseen Mazhar, Tariq Shahzad, Muhammad Amir Khan, Alaa Abd‐Alrazaq , et al. · 2024

Harnessing Artificial Intelligence to Predict Ovarian Stimulation Outcomes in In Vitro Fertilization: Scoping Review Open

Rawan AlSaad, Alaa Abd‐Alrazaq, Fadi Choucair, Arfan Ahmed, Sarah Aziz , et al. · 2024

Background In the realm of in vitro fertilization (IVF), artificial intelligence (AI) models serve as invaluable tools for clinicians, offering predictive insights into ovarian stimulation outcomes. Predicting and understanding a patient’s…

Author Correction: Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence Open

Fahad Shabbir Ahmed, Sagheer Abbas, Atifa Athar, Tariq Shahzad, Wasim Ahmad Khan , et al. · 2024

Improving Workforce Development in Pakistan to Foster Sustainable Economic Growth: An Analysis from the Field of Human Resource Management Open

Arfan Ahmed, Syed Arif Hussain, Syed Usman Shahid · 2024

Pakistan's population is dynamic and quickly expanding, presenting a one-of-a-kind opportunity for economic growth and development. The aim of this article is to explore how Human Resource Management could significantly help in closing the…

Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence Open

Fahad Ahmed, Sagheer Abbas, Atifa Athar, Tariq Shahzad, Wasim Ahmad Khan , et al. · 2024

A kidney stone is a solid formation that can lead to kidney failure, severe pain, and reduced quality of life from urinary system blockages. While medical experts can interpret kidney-ureter-bladder (KUB) X-ray images, specific images pose…

Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study Open

Alaa Abd‐Alrazaq, Abdulqadir J. Nashwan, Zubair Shah, Ahmad A. Abujaber, Dari Alhuwail , et al. · 2024

Background Research gaps refer to unanswered questions in the existing body of knowledge, either due to a lack of studies or inconclusive results. Research gaps are essential starting points and motivation in scientific research. Tradition…

Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering Open

Saadia Jamil, Eid Rehman, Tariq Shahzad, Muhammad Ishtiaq, Tehseen Mazhar , et al. · 2024

Clustering has proved to be a successful classification method when it comes to dealing with multiview data. Each method and technique tries to achieve efficiency and accuracy in classifying the multiview data. Multi-source data contains n…

The Desirability of Application of the Basic Structure Doctrine in Bangladesh: An Introspection of Constitutional Amendments Open

Arfan Ahmed · 2024

Machine Learning Solutions for the Security of Wireless Sensor Networks: A Review Open

Yazeed Yasin Ghadi, Tehseen Mazhar, Tamara Al Shloul, Tariq Shahzad, Umair Ahmad Salaria , et al. · 2024

Energy efficiency and safety are two essential factors that play a significant role in operating a wireless sensor network. However, it is claimed that these two factors are naturally conflicting. The level of electrical consumption requir…

Managing Pakistan's Criminal Justice System in Linkage with the SDGs: A Thematic Study Open

Syed Arif Hussain, Syed Usman Shahid, Arfan Ahmed · 2023

The primary objective of this study is to examine the manner in which the criminal justice system in Pakistan is influenced by the Sustainable Development Goals (SDGs). Pakistan will be the principal location of focus for the investigation…

Nanomedicine: Treatment of Chronic Disease Using Gold Nano Thermo Robot (GNTR) Empowered With Nanotechnology Approaches Open

Md. Zahid Hasan, Areej Fatima, Tariq Shahzad, Sagheer Abbas, Taher M. Ghazal , et al. · 2023

Nanotechnologists and medical researchers are working hard to develop new and innovative ways to use nanorobots as nanomedicine to improve healthcare outcomes and revolutionize the field of therapeutics. Nanotechnology has the potential to…

The Performance of Wearable AI in Detecting Stress Among Students: Systematic Review and Meta-Analysis Open

Alaa Abd‐Alrazaq, Mohannad Alajlani, Reham Ahmad, Rawan AlSaad, Sarah Aziz , et al. · 2023

Background Students usually encounter stress throughout their academic path. Ongoing stressors may lead to chronic stress, adversely affecting their physical and mental well-being. Thus, early detection and monitoring of stress among stude…

Wearable Artificial Intelligence for Detecting Anxiety: Systematic Review and Meta-Analysis Open

Alaa Abd‐Alrazaq, Rawan AlSaad, Manale Harfouche, Sarah Aziz, Arfan Ahmed , et al. · 2023

Background Anxiety disorders rank among the most prevalent mental disorders worldwide. Anxiety symptoms are typically evaluated using self-assessment surveys or interview-based assessment methods conducted by clinicians, which can be subje…

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