Latest AI and machine learning research in devices and vaccines for healthcare professionals.
The El Niño-Southern Oscillation (ENSO) exhibits a pronounced decline in predictability during boreal spring, referred to as spring predictability barrier (SPB). While tropical basin interactions among the Indian, Atlantic, and Pacific Oceans potentially enhance ENSO predictability, their roles in mitigating SPB within deep learning (DL) frameworks remain underutilized. Here, we introduce GL-Geofo...
PURPOSE: Periodontitis is a common chronic disease associated with systemic conditions such as diabetes and cardiovascular disease. Diagnosis typically relies on dental examinations and radiographs, which may be underutilised by individuals who avoid, delay, or lack dental care. This study evaluated the potential of routine blood biomarkers and demographic data for screening moderate-to-severe per...
BACKGROUND: Social determinants of health (SDoH) are critical drivers of health outcomes but are often underdocumented in structured electronic health...
STATEMENT OF PROBLEM: Despite the increased use of direct-to-abutment connections for implant-supported fixed complete dental prostheses (ISFCDPs), li...
Synonymous mutations, long regarded as evolutionarily neutral, are increasingly recognized as important determinants of viral evolution and adaptation...
A correct emergence profile is fundamental for achieving a natural result to transition from an implant with a circular neck to a cervical area that r...
BACKGROUND: The integration of artificial intelligence (AI) into clinical dentistry has opened new avenues for diagnostic support and treatment planni...
Glaesserella parasuis is a respiratory pathogen of swine and the causative agent of Glässer's disease. Among the 15 serotypes, serotypes 2, 5, and 12 ...
The process of migration of IoMT systems in healthcare into post-quantum cryptographic systems is expected to be a gradual one. Here, existing ECC-bas...
BACKGROUND: Individuals with prediabetes face an increased risk of cardiovascular (CV) complications, which can ultimately lead to premature mortality...
OBJECTIVES: To evaluate whether a retrieval-augmented generation (RAG) framework can enhance citation precision and improve the clinical reliability o...
This research presents a HashCode-based security abstraction that implements privacy-by-design in customer churn statistics, safeguarding identity whi...
Color fundus photographs (CFPs) are widely used for diabetic retinopathy (DR) screening due to accessibility. Optical coherence tomography (OCT) provi...
Cognitive flexibility, the ability to adapt behavior in response to changing contingencies, is a key component of adaptive decision-making and is impa...
OBJECTIVES: This study aimed to evaluate the accuracy and error patterns of four artificial intelligence-based large language models (LLMs) in identif...
OBJECTIVES: To clinically validate an AI-based tool for automated maxillary gingival segmentation of marginal and supracrestal gingiva on cone beam co...
UNLABELLED: Immunization is one of the most effective interventions to prevent infectious diseases. Identifying individuals at risk of non-adherence t...
As the domain of network security keeps on evolving rapidly, especially in sensitive areas such as healthcare systems, the demand for reliable device ...
BACKGROUND: Vaccination remains one of the most effective public health tools globally. Yet recent years have seen increasing political polarization a...
The rapid growth of data-intensive artificial intelligence workloads has exposed data movement in conventional von Neumann architectures as a critical...