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Personalized ML-based wearable robot control improves impaired arm function.
Nature communications
Aug 2, 2025
Portable wearable robots offer promise for assisting people with upper limb disabilities. However, movement variability between individuals and trade-offs between supportiveness and transparency complicate robot control during real-world tasks. We ad...
Novel risk factors and personalized risk calculator for predicting proximal junctional kyphosis after adult spinal deformity surgery.
The bone & joint journal
Aug 1, 2025
AIMS: Proximal junctional kyphosis (PJK) is a prevalent and detrimental complication associated with corrective surgery for adult spinal deformity (ASD). While existing predictive models have been able to predict PJK, they have lacked individualized ...
An AI-driven machine learning approach identifies risk factors associated with 30-day mortality following total aortic arch replacement combined with stent elephant implantation.
Annals of medicine
Jul 31, 2025
OBJECTIVES: During emergency surgery, patients with acute type A aortic dissection (ATAAD) experience unfavourable outcomes throughout their hospital stay. The combination of total aortic arch replacement (TAR) and frozen elephant trunk (FET) implant...
Serum metabolic patterns reveal the diagnostic and prognostic role of alanine abnormality in ocular adnexal lymphoma.
Proceedings of the National Academy of Sciences of the United States of America
Jul 31, 2025
Ocular adnexal lymphoma (OAL) is the most common orbital malignancy in adults. Advanced tools for precise diagnosis and prognosis of OAL are in demand. Here, the nanoparticle-enhanced laser desorption/ionization mass spectrometry was applied for the ...
Enhanced stroke risk prediction in hypertensive patients through deep learning integration of imaging and clinical data.
BMC medical informatics and decision making
Jul 31, 2025
BACKGROUND: Stroke is one of the leading causes of death and disability worldwide, with a significantly elevated incidence among individuals with hypertension. Conventional risk assessment methods primarily rely on a limited set of clinical parameter...
TA-SSM net: tri-directional attention and structured state-space model for enhanced MRI-Based diagnosis of Alzheimer's disease and mild cognitive impairment.
BMC medical imaging
Jul 31, 2025
Early diagnosis of Alzheimer's disease (AD) and its precursor, mild cognitive impairment (MCI), is critical for effective prevention and treatment. Computer-aided diagnosis using magnetic resonance imaging (MRI) provides a cost-effective and objectiv...
Identification and validation of an explainable machine learning model for vascular depression diagnosis in the older adults: a multicenter cohort study.
BMC medicine
Jul 31, 2025
BACKGROUND: Vascular depression (VaDep) is a prevalent affective disorder in older adults that significantly impacts functional status and quality of life. Early identification and intervention are crucial but largely insufficient in clinical practic...
METS-VF as a novel predictor of gallstones in U.S. adults: a cross-sectional analysis (NHANES 2017-2020).
BMC gastroenterology
Jul 31, 2025
BACKGROUND AND AIMS: Obesity is a well-established risk factor for gallstone formation, but traditional anthropometric measures (e.g., BMI, waist circumference) inadequately assess metabolically active visceral adiposity. The novel Metabolic Score fo...
Impact of large language models and vision deep learning models in predicting neoadjuvant rectal score for rectal cancer treated with neoadjuvant chemoradiation.
BMC medical imaging
Jul 31, 2025
This study aims to explore Deep Learning methods, namely Large Language Models (LLMs) and Computer Vision models to accurately predict neoadjuvant rectal (NAR) score for locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiation (N...
Parkinson disease detection based on in-air dynamics feature extraction and selection using machine learning.
Scientific reports
Jul 31, 2025
Parkinson's disease (PD) is a progressive neurological disorder that impairs movement control, leading to symptoms such as tremors, stiffness, and bradykinesia. Early and accurate PD detection is essential for effective management and improving patie...
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