AIMC Topic: Deep Learning

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Deep learning models for automatic tumor segmentation and total tumor volume assessment in patients with colorectal liver metastases.

European radiology experimental Dec 1, 2023
BACKGROUND: We developed models for tumor segmentation to automate the assessment of total tumor volume (TTV) in patients with colorectal liver metastases (CRLM).
Humans Prospective Studies Clinical Trials as Topic Colorectal Neoplasms Deep Learning Liver Neoplasms Tumor Burden
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Deep learning using computed tomography to identify high-risk patients for acute small bowel obstruction: development and validation of a prediction model : a retrospective cohort study.

International journal of surgery (London, England) Dec 1, 2023
OBJECTIVE: To build a novel classifier using an optimized 3D-convolutional neural network for predicting high-grade small bowel obstruction (HGSBO).
Deep Learning Intestinal Obstruction Retrospective Studies Tomography, X-Ray Computed Humans Neural Networks, Computer Artificial Intelligence
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The promising horizon of deep learning and artificial intelligence in flap monitoring.

International journal of surgery (London, England) Dec 1, 2023
Artificial Intelligence Humans Deep Learning Neural Networks, Computer
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Investigation on the fault monitoring of high-voltage circuit breaker using improved deep learning.

PloS one Dec 1, 2023
Mechanical faults are the main causes of abnormal opening, refusal operation, or malfunction of high-voltage circuit breakers. Accurately assessing the operational condition of high-voltage circuit breakers and delivering fault evaluations is essenti...
Systems Analysis Reproducibility of Results Deep Learning Research Design Phenotype
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Deep learning-based automatic segmentation of bone graft material after maxillary sinus augmentation.

Clinical oral implants research Nov 30, 2023
OBJECTIVES: To investigate the accuracy and reliability of deep learning in automatic graft material segmentation after maxillary sinus augmentation (SA) from cone-beam computed tomography (CBCT) images.
Humans Female Cone-Beam Computed Tomography Bone Transplantation Maxillary Sinus Middle Aged Reproducibility of Results Deep Learning Sinus Floor Augmentation Male
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Deep learning structural insights into heterotrimeric alternatively spliced P2X7 receptors.

Purinergic signalling Nov 30, 2023
P2X7 receptors (P2X7Rs) are membrane-bound ATP-gated ion channels that are composed of three subunits. Different subunit structures may be expressed due to alternative splicing of the P2RX7 gene, altering the receptor's function when combined with th...
Rats Cryoelectron Microscopy Animals Deep Learning Alternative Splicing Receptors, Purinergic P2X7 Humans
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Dermatological disease prediction and diagnosis system using deep learning.

Irish journal of medical science Nov 30, 2023
The prevalence of skin illnesses is higher than that of other diseases. Fungal infection, bacteria, allergies, viruses, genetic factors, and environmental factors are among important causative factors that have continuously escalated the degree and i...
Skin Diseases Algorithms Humans Deep Learning
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Deep learning-based attenuation correction method in Tc-GSA SPECT/CT hepatic imaging: a phantom study.

Radiological physics and technology Nov 30, 2023
This study aimed to evaluate a deep learning-based attenuation correction (AC) method to generate pseudo-computed tomography (CT) images from non-AC single-photon emission computed tomography images (SPECT) for AC in Tc-galactosyl human albumin dieth...
Tomography, Emission-Computed, Single-Photon Technetium Tc 99m Pentetate Technetium Tc 99m Aggregated Albumin Deep Learning Liver Humans Tomography, X-Ray Computed
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Toward a comprehensive understanding of alicyclic compounds: Bio-effects perspective and deep learning approach.

The Science of the total environment Nov 30, 2023
The escalating use of alicyclic compounds in modern industrial production has led to a rapid increase of these substances in the environment, posing significant health hazards. Addressing this challenge necessitates a comprehensive understanding of t...
Carbon Industry Deep Learning Neural Networks, Computer Organic Chemicals
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MaTPIP: A deep-learning architecture with eXplainable AI for sequence-driven, feature mixed protein-protein interaction prediction.

Computer methods and programs in biomedicine Nov 30, 2023
BACKGROUND AND OBJECTIVE: Protein-protein interaction (PPI) is a vital process in all living cells, controlling essential cell functions such as cell cycle regulation, signal transduction, and metabolic processes with broad applications that include ...
Mice Proteins Amino Acid Sequence Deep Learning Humans ROC Curve Neural Networks, Computer Animals
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