Artificial Intelligence Medical Compendium

AIM: We aim to identify risk factors for antibiotic-induced eosinophilia in hospitalized patients receiving penicillin/beta-lactamase inhibitor therapy and to develop a machine learning-enhanced predictive risk-scoring model. METHODS: A retrospective... read more 

The growing number of cancer cases and deaths highlights the urgent need for innovative treatment approaches. One technique that has lately been recognized as having potential to improve the existing cancer immunotherapy treatment is drug repurposing... read more 

The success of in vitro fertilization (IVF) treatment for infertility majorly depends upon the selection of a healthy embryo by the embryologist which is highly subjective and depends on the expertise of the embryologist. This work introduces a compr... read more 

BackgroundCommercially available large language models (LLMs) have demonstrated impressive capabilities in processing vast datasets and generating coherent narratives. However, their lack of domain-specific knowledge limits their reliability in clini... read more 

Homologous recombination deficiency (HRD) is a critical biomarker for guiding targeted therapies, yet the full range of somatic alterations driving HRD across cancers remains incompletely characterized. Here, we present a tumor-agnostic machine learn... read more 

OBJECTIVE: This study aims to develop an AI-based framework for automatic endometrial thickness (ET) measurement in transvaginal ultrasound (TVUS) based on a large dataset and evaluate its performance from various clinical perspectives. METHODS: A da... read more 

Cyanine-based photosensitizers are attractive for photodynamic therapy (PDT) owing to their excellent near-infrared absorption and fluorescence. However, the low singlet oxygen quantum yield (ΦΔ) and structural optimization challenges hinder their fu... read more 

Drug hepatotoxicity is one of the primary reasons for drug clinical trial failures and market withdrawals, with mitochondrial dysfunction being one of the mechanisms inducing drug hepatotoxicity. Manifestation of mitochondrial toxicity occurs when mi... read more 

The innovations in classifying breast cancer into malignant and benign categories and further categorizing it into molecular subtypes have reshaped healthcare services, enabling accurate diagnosis of these complex conditions. Identification of molecu... read more 

This study systematically analyzed the molecular metabolic alterations in the brain tissue of type 2 diabetic mice at different disease stages by integrating Fourier transform infrared (FTIR) and Raman spectroscopy with machine learning approaches. T... read more