Artificial Intelligence Medical Compendium

Reproductive cryopreservation via vitrification is vital for livestock breeding and biodiversity conservation, as it enables ice-free storage of gametes and embryos. However, success increasingly depends on achieving rapid, uniform warming to avoid d... read more 

Autoinjector devices are a specialized type of medical equipment used for the self-administration of medications. Over the past decade, the significance in these devices has increased, both in terms of their usage and academic interest. An important ... read more 

ETHNOPHARMACOLOGICAL RELEVANCE: Nelumbinis Receptaculum (NR) were hemostatic herbal medicines for treating metrorrhagia, hematuria or hemorrhoids in ethnopharmacological systems, such as Ayurveda and traditional Chinese medicines. AIM OF THE STUDY: T... read more 

The growing threat of heavy metal ions (HMIs) to human health and the ecological environment has underscored the need for advanced sensor technologies capable of effectively detecting these pollutants. In this study, we developed a simple yet efficie... read more 

The increasing emerging contaminants (ECs) pose significant challenges to non-targeted screening (NTS) and annotation. Machine learning-based retention time (RT) prediction models offer a promising approach to narrow candidate compounds and enhancing... read more 

Glutathione (GSH) and H2O2 are important biomarkers in oxidative stress management, and their imbalance is linked to cancer, neurological illnesses, and metabolic diseases. However, interference from structurally identical antioxidants makes it diffi... read more 

BACKGROUND: Exosomal long non-coding RNA (lncRNA) as a burgeoning biomarker, its abnormal expression is closely related to the progression of cancer. Therefore, the development of sensitive exosomal lncRNA detection methods has significant effect in ... read more 

Artificial intelligence (AI) is rapidly integrating into clinical practice, from imaging interpretation to decision support; however, many clinicians lack a foundational understanding of how AI systems are constructed, trained, and evaluated. This ar... read more 

AIMS: Existing ST-segment elevation myocardial infarction (STEMI) alert pathways that rely on traditional STEMI criteria perform suboptimally. We aimed to evaluate the diagnostic performance of an artificial intelligence (AI) model to detect acute oc... read more 

PURPOSE: To investigate the natural history of macular tissue preservation in geographic atrophy (GA) by evaluating the relationship between the macular tissue integrity index (MTII) and best-corrected visual acuity (BCVA) over time. DESIGN: Post hoc... read more