Geriatrics

Prediction of cognitive impairment through speech data analysis: A comparative evaluation of deep learning models.

BACKGROUND: The early detection of cognitive impairments, such as mild cognitive impairment (MCI) and Alzheimer's disease (AD), is essential for timely intervention and management. This study evaluates the performance of various deep-learning models in classifying speech recordings from individuals with normal cognition (NC), MCI, and AD, to identify the most effective approach for audio-based cog...

A Novel 2.5-Dimensional Deep Learning Model for "Bone-on-Bone" Detection on Magnetic Resonance Imaging in Medial Unicompartmental Knee Arthroplasty Candidates.

BACKGROUND: Accurate identification of "bone-on-bone" (BoB) osteoarthritis is critical for patient selection for medial unicompartmental knee arthroplasty (mUKA); however, the assessment remains subjective. We aimed to develop and validate a deep learning model using multi-sequence knee magnetic resonance imaging (MRI) for automated detection of isolated medial compartment BoB osteoarthritis in UK...

A hybrid CNN-GCN framework for interpretable Alzheimer's disease diagnosis from MRI scans.

Medical image analysis for Alzheimer's Disease (AD) diagnosis faces two key challenges: capturing spatial dependencies between anatomically connected ...

A non-invasive end-to-end intelligent assistance system for breast ultrasound.

Although artificial intelligence enhances medical image classification to effectively improve lesion diagnosis accuracy and efficiency, it still faces...

Evaluation of YOLOv7-v13 models for multi-class small insect pest detection using the five-pest dataset.

Pest infestation affects global agriculture, causing massive crop yield losses, ecosystem degradation, and negative economic impacts. High accuracy an...

The impact of trust in AI on digital innovation examining the moderation of intellectual capital and task characteristics.

As artificial intelligence (AI) increasingly permeates firms’ digital innovation, trust in AI has emerged as a core determinant of the effectiveness o...

Re: Clarifying comparative claims in digital cognitive assessment: Assessing concurrent validity in a shared cohort.

In response to correspondence from Cognivue, Inc. regarding our publication (Jannati et al., 2025), we clarify that our analysis employed a rigorous p...

Clarifying comparative claims in digital cognitive assessment: a matters arising on multimodal detection of cognitive impairment and amyloid positivity.

Digital cognitive assessments represent an important and rapidly evolving approach to detecting cognitive impairment and Alzheimer's disease-related p...

Multicenter validation and randomized crossover reader evaluation of deep learning-assisted tri-sequence three-dimensional MRI segmentation for hypopharyngeal tumor.

BACKGROUND AND PURPOSE: Accurate MRI-based target delineation for hypopharyngeal squamous cell carcinoma (HPSCC) is clinically important but expertise...

A Dynamic Machine Learning Approach to Complement Nurse-Led Clinics in Identifying High-Risk Patients with Intermittent Claudication.

OBJECTIVE: To develop and validate dynamic machine-learning models to predict 6-month adverse outcomes in intermittent claudication (IC), enabling ris...

Reimagining Continuous Professional Development for Physicians in the Age of Artificial Intelligence.

Artificial intelligence (AI) is transforming medicine by changing how clinicians learn, reason, communicate, and care for patients. Clinician expertis...

"There's not one part of the programme that hasn't been useful in my clinical practice": undergraduate nursing students' views and experiences of a Dementia Education Program.

Preparing nursing students to provide high-quality, person-centered dementia care is a global priority, yet most research has focused on measuring edu...

Minimum Foot Clearance Prediction in Stroke Survivors: A Transformer-Based Approach.

A decrease in Minimum Foot Clearance (MFC), which represents the minimum vertical distance of the foot from the ground surface during the swing phase ...

Determinants of Medical Help-Seeking Behavior Following Case Finding of Early Cognitive Impairment: Semistructured Interview Study of Patients and Caregivers.

BACKGROUND: Timely medical follow-up after a diagnosis of cognitive impairment, such as mild cognitive impairment (MCI) or dementia, is imperative for...

Composite small vessel disease scores predict hemorrhagic transformation after thrombectomy: a machine learning study.

BACKGROUND: Hemorrhagic transformation (HT) is a major complication of acute ischemic stroke (AIS), especially after mechanical thrombectomy (MT) and ...

Biomarkers in preclinical and early Alzheimer's disease in China: a scoping review.

This scoping review synthesizes evidence on fluid and neuroimaging biomarkers for preclinical and early Alzheimer's disease (AD)-including mild cognit...

AI-guided integration of aging-related functional assessment to predict nonresponse to cardiac rehabilitation in heart failure.

BACKGROUND: Cardiac rehabilitation (CR) improves functional capacity and outcomes in patients with heart failure (HF). However, a clinically significa...

Knowledge-prior memory discrimination based generative adversarial network for industrial anomaly detection and localization.

Industrial anomaly detection and localization have become key procedures in modern manufacturing for product quality assurance. However, it is still c...

A novel diagnosis method based on multimodal-aware bi-objective competitive mechanism for Alzheimer's disease.

Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders. Recent statistical surveys and studies indicate that AD is poised t...

Robust transcriptomic signatures of Alzheimer's disease progression: validated explainable AI approach.

The lack of validated stage-specific biomarkers hampers the understanding of Alzheimer's disease (AD) progression and clinical translation. Current tr...