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Development of explainable artificial intelligence based machine learning model for predicting 30-day hospital readmission after renal transplantation.
BMC nephrology
Apr 22, 2025
BACKGROUND: Hospital readmission following renal transplantation significantly impacts patient outcomes and healthcare resources. While machine learning approaches offer promising solutions for risk prediction, their clinical application often lacks ...
Development of an ethical framework for the use of social robots in the care of individuals with major neurocognitive disorders: a qualitative study.
BMC geriatrics
Apr 22, 2025
BACKGROUND: Despite the growing use of social robots in geriatric care, there is a lack of standardized ethical guidelines to inform and guide professionals in their implementation.
Machine learning based identification of suicidal ideation using non-suicidal predictors in a university mental health clinic.
Scientific reports
Apr 22, 2025
Suicide causes over 700,000 deaths annually worldwide. Mental disorders are closely linked to suicidal ideation, but predicting suicide remains complex due to the multifaceted nature of contributing factors. Traditional assessment tools often fail to...
A comparative analysis of three graph neural network models for predicting axillary lymph node metastasis in early-stage breast cancer.
Scientific reports
Apr 22, 2025
The presence of axillary lymph node metastasis (ALNM) in breast cancer patients is an important factor in deciding whether to have axillary surgery or pursue alternative treatments. Based on axillary ultrasound (US) and histopathologic data, three gr...
Artificial intelligence real-time automated recognition of the gastric antrum cross-sectional area and motility rhythm via bedside ultrasound: a pilot study.
Scientific reports
Apr 22, 2025
The cross-sectional area (CSA) of the gastric antrum and its motility rhythm reflects the gastrointestinal function of critically ill patients. Monitoring the CSA and motility rhythm is crucial but remains time-consuming and operator dependent. This ...
A thematic analysis of what Australians state would change their minds on climate change.
Scientific reports
Apr 22, 2025
What do Australians believe would change their current opinions about climate change? In this study, we used audience segmentation analysis through the Six Americas Short Survey to identify groups of climate opinion holders within a representative sa...
Comparison of artificial intelligence-generated and physician-generated patient education materials on early diabetic kidney disease.
Frontiers in endocrinology
Apr 22, 2025
BACKGROUND: Diabetic kidney disease (DKD) is a common and serious complication of diabetes mellitus and has become the most important cause of end-stage renal disease (ESRD). In light of the rising prevalence of diabetes, there is a growing imperativ...
Data-driven survival modeling for breast cancer prognostics: A comparative study with machine learning and traditional survival modeling methods.
PloS one
Apr 22, 2025
Background This investigation delves into the potential application of data-driven survival modeling approaches for prognostic assessments of breast cancer survival. The primary objective is to evaluate and compare the ability of machine learning (ML...
Can ChatGPT detect breast cancer on mammography?
Journal of medical screening
Apr 21, 2025
Some noteworthy studies have questioned the use of ChatGPT, a free artificial intelligence program that has become very popular and widespread in recent times, in different branches of medicine. In this study, the success of ChatGPT in detecting brea...
Accurate and Efficient Detection of Nasopharyngeal Carcinoma Using Multi-Dimensional Features of Plasma Cell-Free DNA.
Head & neck
Apr 21, 2025
BACKGROUND: The incidence of Nasopharyngeal carcinoma (NPC) is rising in recent years, especially in some non-developed parts of the world. Hence, cost-efficient means for sensitive detection of NPC are vital.
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