AIMC Topic: Reproducibility of Results

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A platform combining automatic segmentation and automatic measurement of the maxillary sinus and adjacent structures.

Clinical oral investigations Jan 25, 2025
OBJECTIVES: To develop a platform including a deep convolutional neural network (DCNN) for automatic segmentation of the maxillary sinus (MS) and adjacent structures, and automatic algorithms for measuring 3-dimensional (3D) clinical parameters.
Humans Cone-Beam Computed Tomography Imaging, Three-Dimensional Reproducibility of Results Maxillary Sinus Adult Male Neural Networks, Computer Algorithms Female
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Forensic sex classification by convolutional neural network approach by VGG16 model: accuracy, precision and sensitivity.

International journal of legal medicine Jan 24, 2025
INTRODUCTION: In the reconstructive phase of medico-legal human identification, the sex estimation is crucial in the reconstruction of the biological profile and can be applied both in identifying victims of mass disasters and in the autopsy room. Du...
Sex Determination by Skeleton Adult Sensitivity and Specificity Male Middle Aged Convolutional Neural Networks Adolescent Reproducibility of Results Aged Young Adult Neural Networks, Computer Algorithms Female Humans
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Intra- and interobserver agreement of proposed objective transvaginal ultrasound image-quality scoring system for use in artificial intelligence algorithm development.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology Jan 24, 2025
OBJECTIVES: The development of valuable artificial intelligence (AI) tools to assist with ultrasound diagnosis depends on algorithms developed using high-quality data. This study aimed to test the intra- and interobserver agreement of a proposed imag...
Adult Ultrasonography Uterus Ovary Algorithms Observer Variation Humans Female Vagina Artificial Intelligence Reproducibility of Results
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Spatial transcriptome reveals histology-correlated immune signature learnt by deep learning attention mechanism on H&E-stained images for ovarian cancer prognosis.

Journal of translational medicine Jan 24, 2025
BACKGROUND: The ability to predict the prognosis of patients with ovarian cancer can greatly improve disease management. However, the knowledge on the mechanism of the prediction is limited. We sought to deconvolute the attention feature learnt by a ...
Reproducibility of Results Transcriptome Deep Learning Staining and Labeling Ovarian Neoplasms Eosine Yellowish-(YS) Humans Prognosis Female Hematoxylin
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Application-driven validation of posteriors in inverse problems.

Medical image analysis Jan 23, 2025
Current deep learning-based solutions for image analysis tasks are commonly incapable of handling problems to which multiple different plausible solutions exist. In response, posterior-based methods such as conditional Diffusion Models and Invertible...
Image Interpretation, Computer-Assisted Reproducibility of Results Humans Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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The feasibility of using machine learning to predict COVID-19 cases.

International journal of medical informatics Jan 23, 2025
BACKGROUND: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported ...
Incidence Humans Pandemics Reproducibility of Results Feasibility Studies Machine Learning COVID-19 Forecasting SARS-CoV-2 Global Health
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Deep learning model targeting cancer surrounding tissues for accurate cancer diagnosis based on histopathological images.

Journal of translational medicine Jan 23, 2025
Accurate and fast histological diagnosis of cancers is crucial for successful treatment. The deep learning-based approaches have assisted pathologists in efficient cancer diagnosis. The remodeled microenvironment and field cancerization may enable th...
Stomach Neoplasms Tumor Microenvironment Neoplasms Humans Reproducibility of Results Deep Learning Image Processing, Computer-Assisted
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Classifying tumour infiltrating lymphocytes in oral squamous cell carcinoma histopathology using joint learning framework.

Scientific reports Jan 23, 2025
Oral squamous cell carcinoma (OSCC) is the most common form of oral cancer, with increasing global incidence and have poor prognosis. Tumour-infiltrating lymphocytes (TILs) are recognized as a key prognostic indicator and play a vital role in OSCC gr...
Machine Learning Carcinoma, Squamous Cell Reproducibility of Results Humans Mouth Neoplasms Squamous Cell Carcinoma of Head and Neck Lymphocytes, Tumor-Infiltrating Neoplasm Grading
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Automated vs manual cardiac MRI planning: a single-center prospective evaluation of reliability and scan times.

European radiology Jan 22, 2025
OBJECTIVES: Evaluating the impact of an AI-based automated cardiac MRI (CMR) planning software on procedure errors and scan times compared to manual planning alone.
Female Reproducibility of Results Aged Humans Software Prospective Studies Time Factors Magnetic Resonance Imaging Heart Image Interpretation, Computer-Assisted Adult Male Middle Aged
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Artificial Intelligence in Detecting and Segmenting Vertical Misfit of Prosthesis in Radiographic Images of Dental Implants: A Cross-Sectional Analysis.

Clinical oral implants research Jan 22, 2025
OBJECTIVE: This study evaluated ResNet-50 and U-Net models for detecting and segmenting vertical misfit in dental implant crowns using periapical radiographic images.
Reproducibility of Results Cross-Sectional Studies Deep Learning Humans Dental Implants Artificial Intelligence Radiography, Dental Crowns
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