Accurate differentiation between partial discharges (PD) and corona discharges in XLPE-covered conductors is crucial for power system diagnostics, yet remains limited by the lack of specialized, high-fidelity datasets for machine learning (ML) model ... read more
BMC medical informatics and decision making
Aug 5, 2025
BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder. Gender disparities in the diagnosis of ADHD have been reported, suggesting that females tend to be diagnosed later in life than males are. The... read more
Journal of chemical theory and computation
Aug 5, 2025
Binding free energies are key elements in understanding and predicting the strength of protein-drug interactions. While classical free energy simulations yield good results for many purely organic ligands, drugs, including transition metal atoms, oft... read more
Point clouds have become an increasingly important representation for 3D
medical imaging, offering a compact, surface-preserving alternative to
traditional voxel or mesh-based approaches. Recent advances in deep learning
have enabled rapid progress... read more
This commentary evaluates the study by Li et al. on the use of artificial intelligence (AI) for patient selection in cosmetic surgery. While the integration of AI into aesthetic decision-making is promising, we raise concerns regarding methodological... read more
The rapid expansion of publicly-available medical data presents a challenge
for clinicians and researchers alike, increasing the gap between the volume of
scientific literature and its applications. The steady growth of studies and
findings overwhe... read more
Diffusion models have been firmly established as principled zero-shot solvers
for linear and nonlinear inverse problems, owing to their powerful image prior
and iterative sampling algorithm. These approaches often rely on Tweedie's
formula, which r... read more
In this paper, we introduce RAVID, the first framework for AI-generated image
detection that leverages visual retrieval-augmented generation (RAG). While RAG
methods have shown promise in mitigating factual inaccuracies in foundation
models, they h... read more
Empowering blind and low vision (BLV) users to explore visual media improves
content comprehension, strengthens user agency, and fulfills diverse
information needs. However, most existing tools separate exploration from the
main narration, which di... read more
Retinal detachment (RD) is a vision-threatening condition that requires
timely intervention to preserve vision. Macular involvement -- whether the
macula is still intact (macula-intact) or detached (macula-detached) -- is the
key determinant of vis... read more
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