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Assessing the readiness of dental electronic health records for machine learning prediction of procedure outcomes: Insights from the bigmouth repository on composite and amalgam restoration survival rates.
Journal of dentistry
Jun 6, 2025
OBJECTIVE: Dental electronic health records (EHRs) often lack comprehensive data for evaluating procedure outcomes. Machine learning (ML) enables predictive modeling but its applicability to dental EHR data remains unclear. This study assessed the re...
Preoperative Prognosis Prediction for Pathological Stage IA Lung Adenocarcinoma: 3D-Based Consolidation Tumor Ratio is Superior to 2D-Based Consolidation Tumor Ratio.
Academic radiology
Jun 6, 2025
BACKGROUND: The two-dimensional computed tomography measurement of the consolidation tumor ratio (2D-CTR) has limitations in the prognostic evaluation of early-stage lung adenocarcinoma: the measurement is subject to inter-observer variability and la...
A preliminary study on cause‑of‑death discrimination and the pathological stage identification in acute ischemia heart disease (AIHD) based on plasma lipidomic technique and machine learning algorithms.
International journal of legal medicine
Jun 6, 2025
The sudden death discrimination of acute ischemia heart disease (AIHD) and the determination of the AIHD pathological stage are the difficulties in forensic medicine. More potential biomarkers with high sensitivity and specificity still need to be id...
A machine-learning-based approach to predict early hallmarks of progressive hearing loss.
Hearing research
Jun 6, 2025
Machine learning (ML) techniques are increasingly being used to improve disease diagnosis and treatment. However, the application of these computational approaches to the early diagnosis of age-related hearing loss (ARHL), the most common sensory def...
Predictive Value of Tests
Humans
Auditory Threshold
Signal Processing, Computer-Assisted
Mice
Phenotype
Cadherins
Machine Learning
Evoked Potentials, Auditory, Brain Stem
Age Factors
Female
Presbycusis
Early Diagnosis
Disease Models, Animal
Animals
Hearing
Mice, Inbred C57BL
Male
Disease Progression
O-GEST: Overground gait events detector using b-spline-based geometric models for marker-based and markerless analysis.
Journal of biomechanics
Jun 6, 2025
Accurate gait events detection is imperative for reliable assessment of normal and pathological gaits. However, this detection becomes challenging in the absence of force plates. Hence, this research introduces two geometric models integrated into an...
A multi-site randomized clinical trial of socially assistive robots on engaging older adults with cognitive impairment residing in long-term care settings: A protocol paper.
Contemporary clinical trials
Jun 6, 2025
Apathy is common in persons with dementias, especially those in long-term care facilities (LTCs). Few pharmacologic options exist; a major strategy is to foster engagement in social, physical, and cognitive activities, but requires extensive personne...
Cone-beam computed tomography-based online adaptive radiotherapy of esophageal cancer in the neoadjuvant setting: Dosimetric analysis, toxicity and treatment response.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Jun 6, 2025
BACKGROUND AND PURPOSE: Chemoradiotherapy (CRT) followed by surgery is a treatment option for esophageal cancer (EC). However, concerns persist regarding cardiopulmonary toxicity and inconsistent daily target coverage due to anatomical changes. To ad...
Leveraging pulse wave signal properties for coronary artery calcification screening in CKD patients.
Computers in biology and medicine
Jun 6, 2025
BACKGROUND AND AIMS: Chronic kidney disease (CKD) patients are particularly susceptible to coronary atherosclerosis, which can be assessed using computed tomography (CT)-based coronary artery calcium (CAC) score. However, such a costly examination mi...
Feature and classifier-level domain adaptation in DistilHuBERT for cross-corpus speech emotion recognition.
Computers in biology and medicine
Jun 6, 2025
Cross-corpus speech emotion recognition (CCSER) aims to develop robust models capable of accurately identifying a speaker's emotional state across diverse datasets. This task is challenged by variations in dataset characteristics, such as differences...
Evaluating the relationship between environmental chemicals and obesity: Evidence from a machine learning perspective.
Ecotoxicology and environmental safety
Jun 6, 2025
Environmental chemicals are increasingly recognized as important contributors to obesity, yet the number of studies evaluating this relationship remains insufficient. This study aimed to investigate these associations using interpretable machine lear...
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