Artificial Intelligence Medical Compendium

Global water stress is intensifying alongside the expansion of goods and services consumption. Based on consumption-based water footprint (CWF) accounting for 188 countries from 1990 to 2020, this study reveals a persistent strong coupling between wa... read more 

INTRODUCTION: Breast ultrasound is a widely accessible imaging method but highly operator-dependent. Artificial intelligence (AI) may improve breast lesion characterization, aiding in diagnostic decisions. OBJECTIVE: To validate an AI system (Koios D... read more 

BACKGROUND: Inpatients with diabetes have higher early unplanned readmission (EUR) rates. Diabetes management team (DMT) review reduces EUR. While glucose-based patient selection for DMT reduces in-hospital adverse outcomes, this single criterion is ... read more 

OBJECTIVES: To address Croatia's high lung cancer mortality and late-stage diagnoses, the Ministry of Health initiated a multidisciplinary effort to design a national lung cancer screening program. MATERIALS AND METHODS: Lung cancer remains one of th... read more 

RATIONALE AND OBJECTIVES: To provide a context-aware evaluation of deep learning algorithms for vertebral fracture detection by disentangling subject-level from vertebra-level approaches, quantifying the influence of key technical and methodological ... read more 

Electronic nose is an emergent technique for noninvasive disease detection via breath analysis, which is, however limited by the sensitivity and selectivity of the sensor array to complex biomarkers. In this study, we developed a hybrid sensor array ... read more 

The field of synthetic biology is essential to the continued development of a bio-based economy, creating mechanisms to supply carbon needed in the economy by both converting existing end-of-life wastes as well as by creating novel, purpose-grown and... read more 

BACKGROUND: This study aimed to developed and validated a deep-learning method for instance-level tooth segmentation in CBCT to enhance visualization and streamline detection of dental anomalies. METHODS: The proposed deep learning model was trained ... read more 

Sepsis, a life-threatening syndrome caused by dysregulated host responses to infection, lacks effective therapeutic strategies due to its complex immune pathophysiology. Here, we identify Dynein Light Chain LC8-Type 2 (DYNLL2) as a critical risk gene... read more 

How do humans understand the meaning of individual words? How do we combine the meaning of multiple words to comprehend novel sentences? Cognitive neuroscience has addressed these questions by studying patterns of neural activation across the cerebra... read more