AIMC Topic: Deep Learning
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Disclosing neonatal pain in real-time: AI-derived pain sign from continuous assessment of facial expressions.
Computers in biology and medicine
Mar 1, 2025
This study introduces an AI-derived pain sign for continuous neonatal pain assessment, addressing the limitations of existing pain scales and computational approaches. Traditional pain scales, though widely used, are hindered by inter-rater variabili...
PM concentration prediction using a whale optimization algorithm based hybrid deep learning model in Beijing, China.
Environmental pollution (Barking, Essex : 1987)
Mar 1, 2025
PM is a significant global atmospheric pollutant impacting visibility, climate, and public health. Accurate prediction of PM concentrations is critical for assessing air pollution risks and providing early warnings for effective management. This stud...
Use of deep learning-based high-resolution magnetic resonance to identify intracranial and extracranial symptom-related plaques.
Neuroscience
Mar 1, 2025
This study aims to develop a deep learning model using high-resolution vessel wall imaging (HR-VWI) to differentiate symptom-related intracranial and extracranial plaques, which is crucial for stroke treatment and prevention. We retrospectively analy...
A feasibility study of lung tumor segmentation on kilo-voltage radiographic images with transfer learning: Toward tumor motion tracking in radiotherapy.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Mar 1, 2025
PURPOSE: To segment the lung tumor on kilo-voltage X-ray radiographic images acquired during treatment toward the markerless lung tumor tracking.
Automated Detection of Keratorefractive Laser Surgeries on Optical Coherence Tomography Using Deep Learning.
Journal of refractive surgery (Thorofare, N.J. : 1995)
Mar 1, 2025
PURPOSE: To report a deep learning neural network on anterior segment optical coherence tomography (AS-OCT) for automated detection of different keratorefractive laser surgeries-including laser in situ keratomileusis with femtosecond microkeratome (f...
Evaluation by dental professionals of an artificial intelligence-based application to measure alveolar bone loss.
BMC oral health
Mar 1, 2025
BACKGROUND: Several commercial programs incorporate artificial intelligence in diagnosis, but very few dental professionals have been surveyed regarding its acceptability and usability. Furthermore, few have explored how these advances might be incor...
Data-driven AI platform for dens evaginatus detection on orthodontic intraoral photographs.
BMC oral health
Mar 1, 2025
BACKGROUND: The aim of our study was to develop and evaluate a deep learning model (BiStageNet) for automatic detection of dens evaginatus (DE) premolars on orthodontic intraoral photographs. Additionally, based on the training results, we developed ...
Pre-trained convolutional neural networks identify Parkinson's disease from spectrogram images of voice samples.
Scientific reports
Mar 1, 2025
Machine learning approaches including deep learning models have shown promising performance in the automatic detection of Parkinson's disease. These approaches rely on different types of data with voice recordings being the most used due to the conve...
A deep ensemble learning approach for squamous cell classification in cervical cancer.
Scientific reports
Mar 1, 2025
Cervical cancer, arising from the cells of the cervix, the lower segment of the uterus connected to the vagina-poses a significant health threat. The microscopic examination of cervical cells using Pap smear techniques plays a crucial role in identif...
A privacy-preserving dependable deep federated learning model for identifying new infections from genome sequences.
Scientific reports
Mar 1, 2025
The traditional molecular-based identification (TMID) technique of new infections from genome sequences (GSs) has made significant contributions so far. However, due to the sensitive nature of the medical data, the TMID technique of transferring the ...
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