Latest AI and machine learning research in alternative medicine for healthcare professionals.
Aseptic loosening is the primary cause of cementless femoral prosthesis failure and is related to the primary stability of the cementless femoral prosthesis in the femoral cavity. The primary stability affects both the osseointegration and the long-term stability of cementless femoral prostheses. A custom cementless femoral prosthesis can improve the fit and fill of the prosthesis in the femoral c...
BACKGROUND: Ginseng, which is widely used in functional foods and as an herbal medicine, has been reported to reduce the proliferation of prostate cancer cells by mechanisms that are not yet fully understood.
OBJECTIVE: To investigate the chemical transformation of volatile compounds in sulfur-fumigated Radix Angelicae Sinensis.
Echinacea is used for its immunostimulating properties and may have a role in modulating adverse immune effects of chemotherapy (i.e., use of 5-fluoro...
Reactive oxygen and nitrogen species (RONS) are involved in deleterious/beneficial biological processes. The present study sought to investigate the c...
To facilitate precision medicine and whole-genome annotation, we developed a machine-learning technique that scores how strongly genetic variants affe...
Background: Reliable melanoma classification requires models that capture both local dermoscopic morphology and broader contextual patterns while main...
There is growing interest in adopting CLIP-style vision--language model (VLM) pretraining for mammography. However, models that directly employ the st...
T-cell immunity acts as a major defense system against controlling viral infections in vertebrates. During viral entry, innate immune cells degrade th...
General-purpose vision-language models (VLMs) now support strong visual recognition, instruction following, and generation. However, most pretrained v...
Post-hoc saliency maps such as Grad-CAM are increasingly used to audit why a deployed vision model made a decision, yet the heatmap drifts when the in...
Genetic evidence is a major determinant of clinical success in drug development, yet its aggregation has long relied on laborious human curation. Larg...
Vision-language models (VLMs) are increasingly used to make decisions from visual inputs. We introduce FAIRLENS, a benchmark and evaluation framework ...
Hyperspectral unmixing is a key task in remote sensing that aims to decompose mixed pixels in hyperspectral images into their constituent material sig...
Existing research on object hallucination in multimodal large language models (MLLMs) predominantly attributes the problem to language priors such as ...
Background Late-stage cancer incidence is being considered as an earlier endpoint in cancer-screening trials, but its trial-level association with can...
Resting-state functional magnetic resonance imaging (rs-fMRI) functional connectivity (FC) matrices are widely used for individual-level prediction, b...
Object hallucination remains a persistent reliability issue in large vision-language models, where generated object mentions may sound plausible but l...
Reflective smartphone cover glass is challenging to inspect from a single fixed viewpoint because defect visibility varies with viewing geometry and s...
Longitudinal clinical agents must maintain an evolving patient state from evidence distributed across visits, time points, and specialties. However, h...