Latest AI and machine learning research in hiv/aids for healthcare professionals.
IMPORTANCE: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of artificial intelligence (AI) in guiding novice users to acquire high-quality cardiac ultrasound images, suggesting its potential for broader use in LUS.
Opportunistic infections (OIs) are the leading cause of hospitalisation and mortality among Human Immunodeficiency Virus-infected (HIV-infected) patients. The diverse pathogen types and intricate clinical manifestations associated present a formidable challenge to the timely diagnosis of these infections. This study aims to use machine learning techniques to develop a diagnostic model that quickly...
Infections in Diabetic Foot Ulcers (DFUs) can cause severe complications, including tissue death and limb amputation, highlighting the need for accu...
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder impacting social and behavioral development. Resting-state fMRI, a non-invasive tool...
The processing mechanism of the human brain for speech information is a significant source of inspiration for the study of speech enhancement technolo...
Voronoi diagrams are essential geometrical structures with numerous applications, particularly astrophysics-driven finite volume methods. While seri...
According to the World Health Organization, over 466 million people worldwide suffer from disabling hearing loss, with approximately 34 million of t...
The task of automatically coding the International Classification of Diseases (ICD) in the medical field has been well-established and has received ...
Convolutional networks, transformers, hybrid models, and Mamba-based architectures have demonstrated strong performance across various medical image...
Encoding implicit language presents a challenge for language models, especially in high-risk domains where maintaining high precision is important. ...
The prevalence of hearing aids is increasing. However, optimizing the amplification processes of hearing aids remains challenging due to the complex...
We address the challenge of developing a generalizable neural tracking controller for dexterous manipulation from human references. This controller ...
Chinese acupuncture practitioners primarily depend on muscle memory and tactile feedback to insert needles and accurately target acupuncture points,...
Camouflaged Object Detection (COD), the task of identifying objects concealed within their environments, has seen rapid growth due to its wide range...
Accurate monitoring of eating behavior is crucial for managing obesity and eating disorders such as bulimia nervosa. At the same time, existing meth...
Digital healthcare infrastructure is crucial for global medical service delivery. Egypt faces EHR adoption barriers: only 314 hospitals had such sys...
Chest X-ray (CXR) is the most frequently ordered imaging test, supporting diverse clinical tasks from thoracic disease detection to postoperative mo...
Attention-based arbitrary style transfer methods have gained significant attention recently due to their impressive ability to synthesize style deta...
Tailoring treatments to individual needs is a central goal in fields such as medicine. A key step toward this goal is estimating Heterogeneous Treat...
Recent technological advances have introduced new high-throughput methods for studying host-virus interactions, but testing synergistic interactions...