Artificial Intelligence Medical Compendium

Molecular diagnostics have transformed clinical microbiology by enabling rapid, accurate, and highly sensitive detection of infectious agents, significantly improving patient outcomes and public health response. Over the past decade, advances in poly... read more 

Tasks in the real world are almost always partially observable, which does not satisfy the Markov property required by the reinforcement learning paradigm. Recent approaches attempt to approximate full state representations using temporal mechanisms ... read more 

OBJECTIVES: Accurate localization of anatomical landmarks on the mandible is crucial for maxillofacial surgery and orthodontic treatment planning. This study aims to develop and validate a novel multi-view deep learning framework to enhance the accur... read more 

We conducted a retrospective study to evaluate the performance of 5 large language models in detecting surgical site infections (SSIs), compared with manual surveillance by an infection preventionist nurse. Forty abdominal surgery patients were inclu... read more 

The analysis of volatile organic compounds (VOCs) by gas chromatography-ion mobility spectrometry (GC-IMS) offers high sensitivity, rapid analysis, and minimal sample preparation, but its second-order data complicate peak alignment, feature extractio... read more 

Microsatellite instability (MSI) has gained increasing attention as a promising biomarker for cancer immunotherapy in diverse cancer types. As a result of DNA mismatch repair (MMR) deficiency, MSI tumors show a hypermutator phenotype. Based on this f... read more 

OBJECTIVES: The aim of this study was to evaluate the impact of introducing an autonomous courier in a clinical laboratory, focusing on specimen turnaround time (TAT). We assessed whether high-frequency robotic transport from the central accessioning... read more 

Graph Neural Networks (GNNs) deployed in high-stakes applications pose concerns about fairness and privacy. Current methods typically address these issues separately, ignoring the inherent conflict: enforcing individual fairness via distance-based me... read more 

Although most pollutants are removed during water treatment, residual heavy metals can enter drinking water distribution systems (DWDSs), posing a significant challenge for ensuring drinking water safety. This study investigated the levels of Mn, Al,... read more 

Emotional states are fundamental attributes distinguishing humans from machines, and productivity represents one of the primary life objectives for this emotionally driven being. However, existing research on productivity and job performance frequent... read more