Academic Articles & Research Papers

Designing novel linagliptin analogs through combined generative artificial intelligence, molecular docking, molecular dynamics simulation, and binding energy estimation for targeting fibroblast activation protein

Fibroblast activation protein (FAP) is a highly specific biomarker overexpressed in cancer-associated fibroblasts, making it a promising diagnostic target. Developing novel high-affinity molecular probes for FAP-targeted diagnostics remains...

Large language model bias auditing for periodontal diagnosis using an ambiguity-probe methodology: a pilot study

BackgroundLarge Language Models (LLMs) in healthcare holds immense promise yet carries the risk of perpetuating social biases. While artificial intelligence (AI) fairness is a growing concern, a gap exists in understanding how these models ...

Sex-based differences in characteristics, management, and outcomes in heart failure with reduced ejection fraction

Heart failure with reduced ejection fraction (HFrEF) exhibits significant sex-based differences in clinical presentation, management, and outcomes. This study aimed to evaluate these differences using data from the Swedish Heart Failure Reg...

Artificial Intelligence and Surgical Decision-making

Importance: Surgeons make complex, high-stakes decisions under time constraints and uncertainty, with significant effect on patient outcomes. This review describes the weaknesses of traditional clinical decision-support systems and proposes...

Artificial Intelligence for Lentigo Maligna: Automated Margin Assessment via Sox-10-Based Melanocyte Density Mapping

Lentigo maligna (LM) is a melanoma in situ with high cumulative sun damage. Histological evaluation of resection margins is difficult and time-consuming. Melanocyte density (MD) is a suitable, quantifiable, and reproducible diagnostic crite...

Artificial intelligence and echocardiography

Echocardiography plays a crucial role in the diagnosis and management of cardiovascular disease. However, interpretation remains largely reliant on the subjective expertise of the operator. As a result inter-operator variability and experie...

Does cognitive performance decline as a function of age at onset in Parkinson's disease? the role of age at assessment, education, and clinical severity.

Language-based affect assessments capture experiment-induced changes beyond rating scales.

Effect of robot-assisted gait training combined with electroacupuncture on lower limb motor function and brain network characteristics in stroke: an EEG study

Abstract Background Stroke survivors often experience residual motor dysfunction in their limbs. Additional physical rehabilitation therapies may further improve patients’ functional outcomes. By combining direct interventions targeting the...

From AI Readiness to Human Readiness: A Human-Centered Framework for AI Adoption in SMEs

Artificial intelligence (AI) is transforming organizations across all sectors, yet many AI initiatives fail despite significant technological investments. Existing research has primarily explained AI adoption through technological, organiza...

Conceptualisation de l'espace numérique dans l'enseignement-apprentissage des langues

In this article on the conceptualization of the digital space in the teaching-learning of languages, our contribution to the "Architecture of the processes of production and reception" of language (François & Nespoulous, 2014), consists in ...

AI-assisted neurocognitive assessment protocol for older adults with psychiatric disorders

IntroductionEvaluating neurocognitive functions and diagnosing psychiatric disorders in older adults is challenging due to the complexity of symptoms and individual differences. An innovative approach that combines the accuracy of artificia...

Convergence of Artificial Intelligence and Wearables in Strength Training and Performance Monitoring: A Scoping Review

Background: Strength training (ST) is essential for enhancing athletic performance and reducing injury risk, yet traditional monitoring relies heavily on subjective assessment, limiting objective and individualized evaluation. Objective: Th...

Association between myosteatosis and impaired glucose metabolism: A deep learning whole‐body magnetic resonance imaging population phenotyping approach

Abstract Background There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with th...

From Promise to Peril: generative artificial intelligence's potential to deepen educational inequalities in geographically diverse contexts

PurposeThis study critically examines how van Dijk's Digital Divide Theory applies to generative artificial intelligence (GenAI) access in regional, remote and rural (RRR) educational contexts. It interrogates whether a framework designed f...

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

In September 2016, Stanford's "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the first report of its planned long-term periodic assessment of artificial intelligence (AI) and its impact on society. It was written...

The Use of Artificial Intelligence Tools in Assessing Content Validity: A Comparative Study with Human Experts

This study investigated whether artificial intelligence (AI) systems could evaluate the content validity of B1-level English reading comprehension items in a manner comparable to human experts. A 25-item multiple-choice test was developed a...

The use of artificial intelligence in anesthesiology: Attitudes and ethical concerns of anesthesiologists

Background: Existing studies on anesthesiologists’ attitudes toward artificial intelligence (AI) leave a global understanding underexplored. This cross-sectional study aims to investigate Turkish anesthesiologists’ attitudes toward AI, exam...

Analysis of Water Pollution Using Different Physicochemical Parameters: A Study of Yamuna River

The Yamuna river has become one of the most polluted rivers in India as well as in the world because of the high-density population growth and speedy industrialization. The Yamuna river is severely polluted and needs urgent revival. The Yam...

Developments and future prospects of personalized medicine in head and neck squamous cell carcinoma diagnoses and treatments

Abstract Background Precision healthcare has entered a new era because of the developments in personalized medicine, especially in the diagnosis and treatment of head and neck squamous cell carcinoma (HNSCC). This paper explores the dynamic...