Buscar recursos académicos

Pendidikan Agama Islam (PAI) dihadapkan pada tantangan ketidaksesuaian antara tujuan holistik pembentukan insan kāmil dan praktik asesmen yang masih didominasi pendekatan kognitif dan reduktif. Kondisi ini menyebabkan p...

This study aimed to predict the adoption of artificial intelligence in higher education through various factors by means of multiple regression analysis. The participants consisted of 401 male and female students from fo...

BackgroundDigital tools are reshaping public health education and training, yet evidence on whether large language models (LLMs) can generate specialist ophthalmic teaching materials remains limited. High myopia (HM), a ...

ABSTRACT Background and Aim As dental anomalies can significantly affect esthetic and function, early detection and diagnosis are crucial for treatment and minimizing potential negative effects. Artificial intelligence (...

IntroductionVisual electrophysiology, including electroretinograms (ERG) and visual evoked potentials (VEP), provides a real-time functional assessment of retinal and post-retinal pathways, complementing structural imagi...

Abstract Optimizing surgical decisions in breast cancer is critical. Choosing between mastectomy and breast-conserving surgery (BCS) is complex due to heterogeneous pre-operative clinical factors. We developed BrCaM (Bre...

This study presents PrimDx, a diagnostic test that applies machine learning (ML) to whole blood transcriptomic data to improve early detection and diagnosis of primary immunodeficiency (PID). Delays in PID diagnosis are ...

Artificial Intelligence (AI) is playing an increasingly pivotal role in driving innovation and promoting sustainable development across various sectors amid the ongoing wave of industrial revolutions. However, the existi...

Although vaccination remains one of the most impactful interventions in contemporary public health, with consistent and widely documented reductions in morbidity and mortality, the traditional empirical development of va...

Abstract Artificial intelligence (AI) is increasingly used in gastrointestinal endoscopy for polyp detection and classification. However, most AI models are trained on images from multiple video processors, whereas clini...

Background Identifying priority projects in industry–education integration is critical for optimizing policy support and resource allocation. While prior studies have primarily relied on qualitative assessments, there ...

Abstract This study examines the influence of divisor selection on the efficacy of advanced analytical spectrophotometric methods that integrate artificial intelligence (AI), green-chemistry principles, and white-analyti...

Abstract Emotional intelligence is widely used to refer to the capacity to perceive, assess, and manage one’s and others’ emotions to attain personal and collective goals. This study aims to identify current and emer...

Abstract Background Non-small-cell lung cancer (NSCLC) exhibits pronounced molecular heterogeneity, and current predictive models rarely incorporate mitochondrial quality-control programs such as mitophagy. We hypothesiz...

Abstract Fractures are among the most common presentations to emergency and orthopedic services, yet radiograph interpretation remains inconsistent, particularly in resource-limited and off-hours settings. Weakly supervi...

Objective: ‘Values’ of Health Service Managers (HSMs) can be identified by a central organising concept of leadership, which is underpinned by emotional intelligence. Values, whether conscious or not, serve as guidi...

ABSTRACT Influence maximisation (IM) aims to select a small number of nodes that are able to maximise their influence in a network and covers a wide range of applications. Despite numerous attempts to provide effective s...

Abstract BackgroundArtificial intelligence (AI) integrated with point-of-care imaging is a promising approach to expand access in settings with limited specialist availability. However, no systematic review h...

Triple-negative breast cancer (TNBC) is a subtype of breast cancer with strong invasiveness, limited treatment options, and poor prognosis. Its early accurate diagnosis and individualized treatment are major challenges f...

Abstract Metabolic dysfunction-Associated Steatotic Liver Disease (MASLD) affects 30–50% of obese children, yet accurate non-invasive quantification remains challenging. While magnetic resonance imaging-proton density ...

IntroductionWe address moral uncertainty in reinforcement learning (RL) by proposing a framework that integrates multiple ethical theories into decision-making. Existing approaches rely on single moral frameworks or hand...

The agricultural sector contributes significantly to the economic development of nations worldwide. Owing to the population explosion, agriculture must address the complex challenges to meet the growing food demand while...

Aims/objectives: This study aimed to evaluate the performance of leading large language models (LLMs) in orthopedic surgery, with a focus on diagnostic accuracy, radiographic interpretation, subspecialty-specific perform...

In this work, a structured hierarchy of hyperdatasets for Monkeypox image classification is presented, aiming to evaluate the robustness and generalization ability of deep classification models for Mpox detection. A syst...