Artificial Intelligence Medical Compendium

This research intends to provide a comprehensive review of existing literature on sleep within the nursing field, employing bibliometric methods. A comprehensive analysis of the available literature concerning sleep in nursing was carried out through... read more 

OBJECTIVES: The efficacy of an MRI-based deep learning algorithm (DLA) for detecting acute ischemic stroke (AIS) was evaluated across readers with diverse medical backgrounds, because DLA performance may be user-dependent. MATERIALS AND METHODS: This... read more 

PURPOSE: Digital twin (DT) cohorts are collections of models where each member represents an individual real-world asset. DT cohorts can be used for in-silico trials, outlier detection and forecasting, and are used across engineering, industry, and i... read more 

BACKGROUND: The utilisation of artificial intelligence in the context of nursing education has become increasingly extensive. However, various studies show differing perspectives and attitudes among nursing students, and the findings have not been sy... read more 

Existing research on driver behavior under Variable Speed Limits (VSLs) primarily relies on simulations and loop detector-based cross-sectional traffic data, with limited studies using real-world microscopic vehicle trajectory data. This study propos... read more 

The aim of this study was to develop a machine learning classification model that can forecast salvage surgery complications. This was a retrospective analysis of all patients who underwent salvage surgery for head and neck cancer at Amrita Institute... read more 

OBJECTIVES: Thyroid nodules are one of the most common thyroid disorders and can be categorized into benign and malignant thyroid nodules. Currently, the initial diagnosis is made clinically by ultrasonography, and the determination of thyroid nodule... read more 

Ultrasound imaging, known for its affordability, portability and real-time capabilities, has become a crucial diagnostic tool worldwide. However, the limited field of view in 2-D ultrasound and reduced anatomical coverage in current 3-D systems have ... read more 

BACKGROUND & AIMS: Malnutrition affects hospital care and disease treatment. The evaluation of food intake is essential for assessing the nutritional status of patients. We developed a meal tray photography device that can automatically capture pictu... read more 

Advanced-stage lung squamous-cell carcinoma (LUSC) remains a therapeutic challenge. Although immune checkpoint inhibitors (ICIs) have revolutionized LUSC treatment, only a small subset of LUSC patients can achieve durable clinical benefits, underscor... read more