Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
High-Speed Atomic Force Microscopy (HS-AFM) enables imaging of biological structures and dynamics wi...
Accurate identification of conserved protein domain boundaries and their classification are fundamen...
A theta/gamma oscillatory neural mechanism has been postulated to explain the auditory sampling of h...
Antibody discovery remains constrained by resource-intensive experimental screening approaches that ...
Ensuring privacy in distributed machine learning while computing the Area Under the Curve (AUC) is a...
South African young adults are at increased risk for HIV acquisition and other non-communicable dise...
Artificial intelligence (AI) has transformed medicine, advancing diagnostics, treatment, and patient...
Robust de-identification is necessary to preserve patient confidentiality and maintain public accept...
The use of Artificial Intelligence (AI) methods in palliative care research is increasing. Most AI p...
Predictive modeling in healthcare holds promise for improving clinical outcomes, but in many low-res...
Retrieval-augmented generation (RAG) has emerged as a promising approach to improve the factual cons...
Right ventricular (RV) function is a key factor in the diagnosis and prognosis of heart disease. How...
Progress in artificial intelligence-based analysis of surgical videos has been constrained by relian...
Large language models (LLMs) are increasingly used in randomized clinical trial (RCT) screening, but...
Timely linkage to HIV prevention and treatment services following HIV self-testing (HIVST) remains a...
Sedentarism is prevalent and associated with poorer mental and physical health. Whether everyday phy...
Open-vocabulary segmentation aims to identify and segment specific regions and objects based on te...
Semantic communication (SemCom) is regarded as a promising and revolutionary technology in 6G, aim...
Medical image segmentation plays a crucial role in computer-aided diagnosis. By segmenting pathologi...
Precision medicine significantly enhances patients prognosis, offering personalized treatments. Part...
The rapid development and integration of interconnected healthcare devices and communication network...