Artificial Intelligence Medical Compendium

BACKGROUND: Predicting the origin of premature ventricular contractions (PVCs) is challenging when a transition zone (TZ) appears in leads V3 and V4. The aim of this study was to develop a deep-learning model to predict PVC origins and identify elect... read more 

BACKGROUND/AIMS: Recent advances in computer-aided diagnosis (CADx) systems have demonstrated expert-level accuracy in the optical diagnosis of colorectal polyps. High-confidence (HC) diagnoses have been defined as those made within 3 seconds without... read more 

BACKGROUND/AIMS: Early detection and removal of colon polyps are critical for preventing colorectal cancer. Computer-aided detection (CADe) systems have been introduced to increase the polyp detection rate (PDR) during colonoscopy, potentially enhanc... read more 

Nanopore-based single-molecule sequencing (SMS) is a powerful tool for acquiring detailed heterogeneous information on critical building blocks of life, such as nucleic acids, proteins, and a wide array of biomolecules, at the single-molecule level. ... read more 

Membrane-penetrating molecular devices are valuable biological tools. Herein, we describe membrane-targeting molecular devices based on the triplexes of poly T acyclic L-threoninol nucleic acid (L-aTNA) tethered site-specifically to cholesterol and p... read more 

BACKGROUND: Chronic rhinitis (CR) is currently recognized as a syndrome that manifests in different phenotypes. We aimed to establish an artificial intelligence system (quantitative assessment of nasal inflammatory cytology, QANIC) on the basis of wh... read more 

Electrochemical CO2 reduction to single-carbon products is central to sustainable fuels and chemicals, but under industrially relevant conditions elevated temperature fundamentally alters reaction behavior and the mechanistic basis for steering hydro... read more 

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PURPOSE: Accurate interpretation of CT scans after pancreatic resection is crucial for detecting abnormalities, including postoperative complications and cancer recurrence. This study investigates the feasibility and clinical utility of a novel MKNet... read more 

UNLABELLED: Automated multi-organ segmentation looks to assist clinicians and researchers working with Positron Emission Tomography/Computed Tomography (PET/CT) imaging in streamlining the time-consuming, operator-dependent task of manual delineation... read more