AIMC Topic: Deep Learning

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Development and Application of Traditional Chinese Medicine Using AI Machine Learning and Deep Learning Strategies.

The American journal of Chinese medicine May 8, 2024
Traditional Chinese medicine (TCM) has been used for thousands of years and has been proven to be effective at treating many complicated illnesses with minimal side effects. The application and advancement of TCM are, however, constrained by the abse...
Medicine, Chinese Traditional Humans Diagnosis, Differential Machine Learning Natural Language Processing Deep Learning
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Factors influencing the development of artificial intelligence in orthodontics.

Orthodontics & craniofacial research May 7, 2024
OBJECTIVES: Since developing AI procedures demands significant computing resources and time, the implementation of a careful experimental design is essential. The purpose of this study was to investigate factors influencing the development of AI in o...
Humans Artificial Intelligence Algorithms Deep Learning Linear Models Orthodontics
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Artificial Intelligence in Laryngology, Broncho-Esophagology, and Sleep Surgery.

Otolaryngologic clinics of North America May 7, 2024
Technological advancements in laryngology, broncho-esophagology, and sleep surgery have enabled the collection of increasing amounts of complex data for diagnosis and treatment of voice, swallowing, and sleep disorders. Clinicians face challenges in ...
Sleep Wake Disorders Otolaryngology Machine Learning Deep Learning Humans Artificial Intelligence
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GraphEGFR: Multi-task and transfer learning based on molecular graph attention mechanism and fingerprints improving inhibitor bioactivity prediction for EGFR family proteins on data scarcity.

Journal of computational chemistry May 7, 2024
The proteins within the human epidermal growth factor receptor (EGFR) family, members of the tyrosine kinase receptor family, play a pivotal role in the molecular mechanisms driving the development of various tumors. Tyrosine kinase inhibitors, key c...
Humans Deep Learning ErbB Receptors Protein Kinase Inhibitors Neural Networks, Computer Machine Learning Drug Discovery
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Comparative assessment of established and deep learning-based segmentation methods for hippocampal volume estimation in brain magnetic resonance imaging analysis.

NMR in biomedicine May 7, 2024
In this study, our objective was to assess the performance of two deep learning-based hippocampal segmentation methods, SynthSeg and TigerBx, which are readily available to the public. We contrasted their performance with that of two established tech...
Aged Adult Male Humans Female Reproducibility of Results Magnetic Resonance Imaging Alzheimer Disease Middle Aged Organ Size Hippocampus Deep Learning Image Processing, Computer-Assisted
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A multiview deep learning-based prediction pipeline augmented with confident learning can improve performance in determining knee arthroplasty candidates.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA May 7, 2024
PURPOSE: Preoperative prudent patient selection plays a crucial role in knee osteoarthritis management but faces challenges in appropriate referrals such as total knee arthroplasty (TKA), unicompartmental knee arthroplasty (UKA) and nonoperative inte...
Aged Male Middle Aged Humans Clinical Decision-Making Female Patient Selection Arthroplasty, Replacement, Knee Osteoarthritis, Knee Deep Learning ROC Curve Radiography
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GNN-based structural information to improve DNN-based basal ganglia segmentation in children following early brain lesion.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 7, 2024
Analyzing the basal ganglia following an early brain lesion is crucial due to their noteworthy role in sensory-motor functions. However, the segmentation of these subcortical structures on MRI is challenging in children and is further complicated by ...
Ischemic Stroke Humans Basal Ganglia Child Neural Networks, Computer Infant Infant, Newborn Image Processing, Computer-Assisted Deep Learning Magnetic Resonance Imaging Child, Preschool
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A radiograph-based deep learning model improves radiologists' performance for classification of histological types of primary bone tumors: A multicenter study.

European journal of radiology May 7, 2024
PURPOSE: To develop a deep learning (DL) model for classifying histological types of primary bone tumors (PBTs) using radiographs and evaluate its clinical utility in assisting radiologists.
Child Bone Neoplasms Radiologists Deep Learning Adolescent Child, Preschool Humans Sensitivity and Specificity Male Aged Middle Aged Young Adult Adult Retrospective Studies Female Reproducibility of Results
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Interpretation of SPECT wall motion with deep learning.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology May 7, 2024
OBJECTIVES: We sought to develop a novel deep learning (DL) workflow to interpret single-photon emission computed tomography (SPECT) wall motion.
Humans Female Reproducibility of Results Electrocardiography Coronary Artery Disease Tomography, Emission-Computed, Single-Photon Middle Aged Deep Learning ROC Curve Aged Male Echocardiography
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DenseNet model incorporating hybrid attention mechanisms and clinical features for pancreatic cystic tumor classification.

Journal of applied clinical medical physics May 7, 2024
PURPOSE: The aim of this study is to develop a deep learning model capable of discriminating between pancreatic plasma cystic neoplasms (SCN) and mucinous cystic neoplasms (MCN) by leveraging patient-specific clinical features and imaging outcomes. T...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Pancreatic Neoplasms Image Interpretation, Computer-Assisted Pancreatic Cyst Algorithms Female Male Humans
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