Artificial Intelligence Medical Compendium

INTRODUCTION: Machine learning models trained on metabolomics data frequently show reduced performance when applied to independent cohorts because of domain shifts introduced by differences in analytical platforms, sample handling, storage conditions... read more 

Gamma-linolenic acid (GLA) is a vital anti-inflammatory polyunsaturated fatty acid, yet its traditional supply from plant seeds such as evening primrose and borage is constrained by low yields and climatic instability. Consequently, microbial cell fa... read more 

Vegetation gains and losses may exhibit unequal or counterintuitive ecological responses because of differences in their initial conditions and land use transition pathways. In this study, we quantified changes in the remote sensing ecological index ... read more 

Developing a safe and effective HIV-1 vaccine remains the cornerstone of global efforts to terminate the AIDS pandemic. However, the virus's immense genetic diversity and the persistent absence of a universal Correlate of Protection (CoP) present for... read more 

OBJECTIVE: Artificial intelligence (AI) classifies routine electroencephalograms (EEGs) with expert-level accuracy, but interpretation of long-term EEG monitoring (LTM) remains reliant on time-intensive visual review. We evaluated whether autoSCORE, ... read more 

OBJECTIVE: Sexually transmitted infections (STIs) impose a heavy public health burden on low- and middle-income countries. We aimed to examine the association between female genital mutilation (FGM) and STI and develop an interpretable machine learni... read more 

OBJECTIVE: Large language models are widely used in clinical care. Their reliability in specialized gynecological diseases such as premature ovarian insufficiency (POI) has not been fully verified. This study aimed to systematically evaluate and comp... read more 

PURPOSE: Ambient artificial intelligence (AI) scribes, widely implemented to reduce clinician burden and dissatisfaction, are not optimized for oncology. We evaluated this technology at-scale at a high-volume cancer center. METHODS: This prospective ... read more 

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INTRODUCTION: Liver transplantation (LT) is a uniquely curative treatment for hepatocellular carcinoma (HCC), as it removes both the tumor and the underlying cirrhotic liver. However, organ scarcity makes candidate selection a central clinical and et... read more