AIMC Topic: Middle Aged

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How perceived stress and social support shape non-communicable disease risks beyond traditional factors: a machine learning perspective.

BMC public health
BACKGROUND: Psychosocial factors such as perceived stress and social support have been increasingly recognized as significant contributors to non-communicable diseases (NCDs). However, their predictive value in comparison to traditional risk factors ...

Physician Perspectives on the Impact of Artificial Intelligence on the Therapeutic Relationship in Mental Health Care: Qualitative Study.

JMIR mental health
BACKGROUND: The therapeutic relationship is a professional partnership between clinicians and patients that supports open communication and clinical decision-making. This relationship is critical to the delivery of effective mental health care. The i...

Prediction of Respiratory Decompensation in Patients Receiving Home Mechanical Ventilation: Machine Learning Model Development and Validation Study.

JMIR formative research
BACKGROUND: Chronic respiratory diseases often require long-term ventilatory support, leading to a growing number of patients treated with home mechanical ventilation (HMV). Despite advancements in telemonitoring with real-time tracking of noninvasiv...

Deep learning diagnosis model of spinal tuberculosis based on CT bone window gradient attention mechanism: multi-center study.

Computer assisted surgery (Abingdon, England)
PURPOSE: To develop a deep learning model based on CT bone window images to enhance the accuracy of early diagnosis of spinal tuberculosis.

Differences in different reconstruction algorithms for coronary CTA demonstrating pericoronary adipose tissue attenuation.

Scientific reports
The Fat Attenuation Index (FAI) surrounding the coronary arteries, a sensitive biomarker for coronary inflammation, can be measured through standard Coronary Computed Tomography Angiography (CCTA). The aim of this study is to evaluate the differences...

Development of a machine learning-based model for predicting the functional outcome of patients with proximal femur fractures.

Scientific reports
Early-stage rehabilitation is crucial for the functional recovery of patients with proximal femur fractures. Predicting functional prognosis at such an early stage can simplify the process of planning for transfers and discharge destinations, as well...

Automatic classification of uveal melanoma response patterns following ruthenium-106 plaque brachytherapy using ultrasound images and deep convolutional neural network.

Scientific reports
Following uveal melanoma (UM) affected treatment using ruthenium-106 brachytherapy, tumor thickness patterns fall into one of four categories: decrease (regression), increase (recurrence), stop (stable), or other, which are assessed in follow-up A-mo...

Validation of a modified oxygen nebulized inhalation method in airway surface anesthesia by comparative analysis via scalable broad learning.

Scientific reports
In clinical practice for the diagnosis of pulmonary tuberculosis (PTB), bronchoscopy is typically performed under airway surface anaesthesia. The effectiveness of this anaesthesia is closely associated with the smoothness of bronchoscopy diagnosis, a...

AI-driven tongue image analysis for diagnosing and predicting coronary artery disease.

Scientific reports
Coronary artery disease is a leading cause of mortality worldwide, with current diagnostic methods presenting challenges of invasiveness and accuracy. This study investigates artificial intelligence-powered tongue image analysis as a novel, non-invas...

The impact of positive attitude towards artificial intelligence and multiple mediation functions of satisfying basic psychological needs.

Scientific reports
With the wide application of Artificial Intelligence (AI) in the health field, this study aims to explore the intrinsic connections among AI, individual psychology, and digital health, and reveal the multiple mediating roles of positive attitudes tow...