AIMC Topic: Aged
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Machine learning models of depression in middle-aged and older adults with cardiovascular metabolic diseases.
Journal of affective disorders
May 27, 2025
BACKGROUND: The incidence of cardiovascular metabolic diseases (CMD) is increasing, and depression in CMD patients significantly impacts prognosis. Therefore, this study aimed to develop and validate a predictive model for depression in CMD patients ...
Functional connectome-based predictive modeling of suicidal ideation.
Journal of affective disorders
May 27, 2025
Suicide represents an egregious threat to society despite major advancements in medicine, in part due to limited knowledge of the biological mechanisms of suicidal behavior. We apply a connectome predictive modeling machine learning approach to ident...
Radiomic and proteomic signatures of body mass index on brain ageing and Alzheimer's-like patterns of brain atrophy.
EBioMedicine
May 27, 2025
BACKGROUND: The impact of high body mass index (BMI) states and associated proteomic factors on brain ageing and Alzheimer's disease (AD) remains unclear.
Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategy.
EBioMedicine
May 27, 2025
BACKGROUND: Valid non-invasive biomarkers for Parkinson's disease (PD) and Parkinson-plus syndrome (PPS) are urgently needed. Based on our recent self-supervised vision foundation model the Shift Window UNET TRansformer (Swin UNETR), which uses clini...
Dual-energy CT combined with histogram parameters in the assessment of perineural invasion in colorectal cancer.
International journal of colorectal disease
May 27, 2025
PURPOSE: The purpose is to evaluate the predictive value of dual-energy CT (DECT) combined with histogram parameters and a clinical prediction model for perineural invasion (PNI) in colorectal cancer (CRC).
AI-based multimodal prediction of lymph node metastasis and capsular invasion in cT1N0M0 papillary thyroid carcinoma.
Frontiers in endocrinology
May 27, 2025
BACKGROUND: Accurate preoperative evaluation of cT1N0M0 papillary thyroid carcinoma (PTC) is essential for guiding appropriate treatment strategies. Although ultrasound is widely used for clinical staging, it has limitations in detecting lymph node m...
Type 2 Diabetes in Taiwan: Unmasking Influential Factors Through Advanced Predictive Modeling.
Journal of diabetes research
May 27, 2025
Type 2 diabetes (T2D) is influenced by lifestyle, genetics, and environmental conditions. By utilizing machine learning techniques, we can enhance the precision of T2D risk prediction by analyzing the complex interactions among these variables. This...
Can intraoperative improvement of radial endobronchial ultrasound imaging enhance the diagnostic yield in peripheral pulmonary lesions?
BMC pulmonary medicine
May 26, 2025
BACKGROUND: Data regarding the diagnostic efficacy of radial endobronchial ultrasound (R-EBUS) findings obtained via transbronchial needle aspiration (TBNA)/biopsy (TBB) with endobronchial ultrasonography with a guide sheath (EBUS-GS) for peripheral ...
Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.
BMC medical imaging
May 26, 2025
OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valve stenosis, invasive coronary angiography (ICA) can be avoided if significant CAD can be screened with the non-invasive coronary CT angiography (cCTA)...
Aortic Valve Stenosis
Humans
Predictive Value of Tests
Machine Learning
Coronary Angiography
Aged
Coronary Stenosis
Retrospective Studies
Coronary Artery Disease
Aged, 80 and over
Fractional Flow Reserve, Myocardial
Computed Tomography Angiography
Female
Sensitivity and Specificity
Transcatheter Aortic Valve Replacement
Male
The extent of Skeletal muscle wasting in prolonged critical illness and its association with survival: insights from a retrospective single-center study.
BMC anesthesiology
May 26, 2025
OBJECTIVE: Muscle wasting in critically ill patients, particularly those with prolonged hospitalization, poses a significant challenge to recovery and long-term outcomes. The aim of this study was to characterize long-term muscle wasting trajectories...
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