AIMC Topic: Deep Learning

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Performance of multimodal prediction models for intracerebral hemorrhage outcomes using real-world data.

International journal of medical informatics May 21, 2025
BACKGROUND: We aimed to develop and validate multimodal models integrating computed tomography (CT) images, text and tabular clinical data to predict poor functional outcomes and in-hospital mortality in patients with intracerebral hemorrhage (ICH). ...
Cerebral Hemorrhage Japan Aged Aged, 80 and over Male Hospital Mortality ROC Curve Middle Aged Deep Learning Retrospective Studies Humans Tomography, X-Ray Computed Prognosis Female
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Synthesizing [F]PSMA-1007 PET bone images from CT images with GAN for early detection of prostate cancer bone metastases: a pilot validation study.

BMC cancer May 21, 2025
BACKGROUND: [F]FDG PET/CT scan combined with [F]PSMA-1007 PET/CT scan is commonly conducted for detecting bone metastases in prostate cancer (PCa). However, it is expensive and may expose patients to more radiation hazards. This study explores deep l...
Niacinamide Radiopharmaceuticals Fluorine Radioisotopes Oligopeptides Middle Aged Deep Learning Pilot Projects Positron Emission Tomography Computed Tomography Prostatic Neoplasms Retrospective Studies Early Detection of Cancer Aged Bone Neoplasms Male Humans
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A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.

Scientific reports May 21, 2025
Masked identification of faces is necessary for authentication purposes. Face masks are frequently utilized in a wide range of professions and sectors including public safety, health care, schooling, catering services, production, sales, and shipping...
Humans Neural Networks, Computer Face Biometric Identification Masks Facial Recognition Deep Learning Image Processing, Computer-Assisted Automated Facial Recognition Generative Adversarial Networks
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Phase recognition in manual Small-Incision cataract surgery with MS-TCN + + on the novel SICS-105 dataset.

Scientific reports May 21, 2025
Manual Small-Incision Cataract Surgery (SICS) is a prevalent technique in low- and middle-income countries (LMICs) but understudied with respect to computer assisted surgery. This prospective cross-sectional study introduces the first SICS video data...
Surgery, Computer-Assisted Phacoemulsification Male Middle Aged Deep Learning Cataract Extraction Cataract ROC Curve India Female Aged Humans Cross-Sectional Studies Prospective Studies
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Cyclic peptide structure prediction and design using AlphaFold2.

Nature communications May 21, 2025
Small cyclic peptides have gained significant traction as a therapeutic modality; however, the development of deep learning methods for accurately designing such peptides has been slow, mostly due to the lack of sufficiently large training sets. Here...
Drug Design Deep Learning Computational Biology Humans Crystallography, X-Ray Protein Conformation Proto-Oncogene Proteins c-mdm2 Kelch-Like ECH-Associated Protein 1 Models, Molecular Amino Acid Sequence Peptides, Cyclic
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SwinFishNet: A Swin Transformer-based approach for automatic fish species classification using transfer learning.

PloS one May 20, 2025
The fish market is a crucial industry for both domestic economies and the global seafood trade. Accurate fish species classification (FSC) plays a significant role in ensuring sustainability, improving food safety, and optimizing market efficiency. T...
Algorithms Image Processing, Computer-Assisted Fishes Animals Deep Learning Seafood
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Advancements in Hematologic Malignancy Detection: A Comprehensive Survey of Methodologies and Emerging Trends.

TheScientificWorldJournal May 18, 2025
The investigation and diagnosis of hematologic malignancy using blood cell image analysis are major and emerging subjects that lie at the intersection of artificial intelligence and medical research. This survey systematically examines the state-of-t...
Hematologic Neoplasms Deep Learning Humans Neural Networks, Computer Machine Learning
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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...
Facial Expression Adolescent Child, Preschool Male Child Humans Intensive Care Units, Pediatric Infant Critical Illness Pain Measurement Deep Learning Female Pain
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ConsensuSV-ONT - A modern method for accurate structural variant calling.

Scientific reports May 17, 2025
Improvements in sequencing technology make the development of new tools for detection of structural variance more and more common. However, since the tools available for the long-read Oxford Nanopore sequencing are limited, and the selection of the o...
Software Algorithms Deep Learning Humans Neural Networks, Computer Sequence Analysis, DNA High-Throughput Nucleotide Sequencing Nanopore Sequencing
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Extensible Immunofluorescence (ExIF) accessibly generates high-plexity datasets by integrating standard 4-plex imaging data.

Nature communications May 17, 2025
Standard immunofluorescence imaging captures just ~4 molecular markers (4-plex) per cell, limiting dissection of complex biology. Inspired by multimodal omics-based data integration approaches, we propose an Extensible Immunofluorescence (ExIF) frame...
Microscopy, Fluorescence Epithelial-Mesenchymal Transition Fluorescent Antibody Technique Humans Biomarkers Deep Learning Single-Cell Analysis
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