AIMC Topic: Deep Learning

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Exploration of the optimal deep learning model for english-Japanese machine translation of medical device adverse event terminology.

BMC medical informatics and decision making Feb 8, 2025
BACKGROUND: In Japan, reporting of medical device malfunctions and related health problems is mandatory, and efforts are being made to standardize terminology through the Adverse Event Terminology Collection of the Japan Federation of Medical Device ...
Translations Translating Equipment and Supplies Terminology as Topic Deep Learning Japan
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Severe deviation in protein fold prediction by advanced AI: a case study.

Scientific reports Feb 8, 2025
Artificial intelligence (AI) and deep learning are making groundbreaking strides in protein structure prediction. AlphaFold is remarkable in this arena for its outstanding accuracy in modelling proteins fold based solely on their amino acid sequences...
Protein Folding Deep Learning Computational Biology Models, Molecular Protein Conformation Proteins Artificial Intelligence
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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images.

Scientific reports Feb 8, 2025
Cancer is a global health concern because of a significant mortality rate and a wide range of affected organs. Early detection and accurate classification of cancer types are crucial for effective treatment. Imaging tests on different image modalitie...
Neural Networks, Computer Algorithms Lung Humans Genetic Algorithms Image Processing, Computer-Assisted Lung Neoplasms Deep Learning
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A novel deep learning framework for retinal disease detection leveraging contextual and local features cues from retinal images.

Medical & biological engineering & computing Feb 7, 2025
Retinal diseases are a serious global threat to human vision, and early identification is essential for effective prevention and treatment. However, current diagnostic methods rely on manual analysis of fundus images, which heavily depends on the exp...
Humans Neural Networks, Computer Algorithms Retina Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Deep Learning Retinal Diseases Fundus Oculi
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Evaluation of deep learning-based scatter correction on a long-axial field-of-view PET scanner.

European journal of nuclear medicine and molecular imaging Feb 7, 2025
OBJECTIVE: Long-axial field-of-view (LAFOV) positron emission tomography (PET) systems allow higher sensitivity, with an increased number of detected lines of response induced by a larger angle of acceptance. However this extended angle increases the...
Scattering, Radiation Phantoms, Imaging Positron-Emission Tomography Image Processing, Computer-Assisted Monte Carlo Method Humans Deep Learning
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Robust deep learning from weakly dependent data.

Neural networks : the official journal of the International Neural Network Society Feb 7, 2025
Recent developments on deep learning established some theoretical properties of deep neural networks estimators. However, most of the existing works on this topic are restricted to bounded loss functions or (sub)-Gaussian or bounded variables. This p...
Computer Simulation Deep Learning Humans Neural Networks, Computer Algorithms
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A deep learning-driven method for safe and effective ERCP cannulation.

International journal of computer assisted radiology and surgery Feb 7, 2025
PURPOSE: In recent years, the detection of the duodenal papilla and surgical cannula has become a critical task in computer-assisted endoscopic retrograde cholangiopancreatography (ERCP) cannulation operations. The complex surgical anatomy, coupled w...
Humans Deep Learning Catheterization User-Computer Interface Ampulla of Vater Cholangiopancreatography, Endoscopic Retrograde Cannula
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Deep graph embedding based on Laplacian eigenmaps for MR fingerprinting reconstruction.

Medical image analysis Feb 7, 2025
Magnetic resonance fingerprinting (MRF) is a promising technique for fast quantitative imaging of multiple tissue parameters. However, the highly undersampled schemes utilized in MRF typically lead to noticeable aliasing artifacts in reconstructed im...
Image Processing, Computer-Assisted Humans Algorithms Magnetic Resonance Imaging Artifacts Deep Learning Brain
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Integration of radiomic and deep features to reliably differentiate benign renal lesions from renal cell carcinoma.

European journal of radiology Feb 7, 2025
PURPOSE: Accurate differentiation of benign renal lesions from renal cell carcinoma (RCC) is crucial for optimized management, particularly for small renal lesions (≤4 cm in diameter). This study aimed to integrate clinical data, radiomic features, a...
Aged Deep Learning Tomography, X-Ray Computed Sensitivity and Specificity Aged, 80 and over Female Radiomics Kidney Neoplasms Diagnosis, Differential Male Reproducibility of Results Carcinoma, Renal Cell Adult Radiographic Image Interpretation, Computer-Assisted Middle Aged Humans Retrospective Studies
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Improving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media.

Journal of biomedical informatics Feb 7, 2025
OBJECTIVE: Adverse event (AE) extraction following COVID-19 vaccines from text data is crucial for monitoring and analyzing the safety profiles of immunizations, identifying potential risks and ensuring the safe use of these products. Traditional dee...
Deep Learning COVID-19 Vaccines Natural Language Processing Data Mining Social Media Adverse Drug Reaction Reporting Systems Humans COVID-19 Large Language Models SARS-CoV-2
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