AIMC Topic: Child
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Construction and validation of a pain facial expressions dataset for critically ill children.
Scientific reports
May 17, 2025
Automatic pain assessment for non-communicative children is in high demand. However, the availability of related training datasets remains limited. This study focuses on creating a large-scale dataset of pain facial expressions specifically for Chine...
Use of Virtual Reality in the Pediatric Perioperative Setting and for Induction of Anesthesia: Mixed Methods Pilot Feasibility Study.
JMIR perioperative medicine
May 16, 2025
BACKGROUND: Children commonly experience high levels of anxiety prior to surgery. This distress is associated with postoperative maladaptive behaviors. Virtual reality (VR) is an innovative tool for reducing anxiety and pain during various medical pr...
A controlled trial examining large Language model conformity in psychiatric assessment using the Asch paradigm.
BMC psychiatry
May 12, 2025
BACKGROUND: Despite significant advances in AI-driven medical diagnostics, the integration of large language models (LLMs) into psychiatric practice presents unique challenges. While LLMs demonstrate high accuracy in controlled settings, their perfor...
The efficiency of sensory systems in postural control of children with and without hearing or visual impairments.
PloS one
May 12, 2025
Limited evidence exists on the efficiency of the sensory systems of children with sensory impairment. The purpose of this study was to examine the sensory systems involved in postural control of male children with hearing (HI) or visual impairments (...
Quantitative analysis and clinical determinants of orthodontically induced root resorption using automated tooth segmentation from CBCT imaging.
BMC oral health
May 8, 2025
BACKGROUND: Orthodontically induced root resorption (OIRR) is difficult to assess accurately using traditional 2D imaging due to distortion and low sensitivity. While CBCT offers more precise 3D evaluation, manual segmentation remains labor-intensive...
Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection.
Biomolecules & biomedicine
May 8, 2025
Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics. However, their diagnosis can be particularly challenging due to the anatomical characteristics and imaging features of the pediatric skeleton. In rec...
Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence.
Scientific reports
May 6, 2025
Acute myeloid leukemia (AML) is a severe hematological malignancy characterized by high recurrence rates, especially in pediatric patients, highlighting the need for reliable prognostic markers. This study proposes methylation signatures associated w...
AgeML: Age Modeling With Machine Learning.
IEEE journal of biomedical and health informatics
May 6, 2025
An approach to age modeling involves the supervised prediction of age using machine learning from subject features. The derived age metrics are used to study the relationship between healthy and pathological aging in multiple body systems, as well as...
Development and Validation of a Novel Prediction Model for Hearing Loss From Cisplatin Chemotherapy.
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
May 5, 2025
PURPOSE: Cisplatin treats many common tumors but causes permanent and debilitating hearing loss (HL). The objective of this study was to develop and externally validate a predictive model of HL in cisplatin-treated children and adolescent cancer surv...
Behavior recognition technology based on deep learning used in pediatric behavioral audiometry.
Scientific reports
May 5, 2025
This study aims to explore the feasibility and accuracy of deep learning-based pediatric behavioral audiometry. The research provides a dedicated pediatric posture detection dataset, which contains a large number of video clips from children's behavi...
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