Artificial Intelligence Medical Compendium

BACKGROUND: Accurate compositional analysis of complex mixtures directly from their overlapping spectral data is critical for advancements in materials discovery, process control, and environmental monitoring. However, existing deep learning models o... read more 

Complete blood cell counting plays a critical role in medical diagnostics; however, conventional manual examination is time-consuming and prone to errors due to variations in data sources, image quality, cell morphology, and staining characteristics.... read more 

Psychiatric disorders pose a critical challenge in modern healthcare due to their high prevalence, complex symptomatology, and reliance on subjective diagnostic procedures. Obsessive-Compulsive Disorder (OCD), in particular, is a chronic and debilita... read more 

BACKGROUND: As Generative Artificial Intelligence (GAI) becomes increasingly embedded into complex medical decision-making, it is anticipated that patients' psychological and behavioral responses will diverge significantly from those observed in trad... read more 

BACKGROUND: Periodontitis is a chronic inflammatory disease characterized by the destruction of periodontal tissues. Berberine (BBR), a natural alkaloid with anti-inflammatory and antioxidant properties, has shown potential in treating inflammatory d... read more 

Antibiotic residues in wastewater pose serious ecological and public health risks and may even induce the more severe threat of antimicrobial resistance (AMR). The activated sludge (AS) processes, the backbone of global wastewater treatment, play a c... read more 

UNLABELLED: Gastric cancer (GC) is one of the most common malignant tumors worldwide. Banxia Xiexin Decoction (BXXXD) has a significant therapeutic effect on digestive system diseases, but its mechanism of action on GC is not yet clear. Using single-... read more 

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Healthcare decision-making requires not only accurate predictions but also insights into how factors influence patient outcomes. While traditional machine learning (ML) models excel at predicting outcomes, such as identifying high-risk patients, they... read more 

This article presents an experimental study of the effects of temperature variations on ultrasonic waves and proposes a methodology to improve the robustness of damage-detection indicators under such environmental conditions. The investigation is bas... read more