AIMC Topic: Tomography, X-Ray Computed

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Using Machine Learning Models to Diagnose Chronic Rhinosinusitis: Analysis of Pre-Treatment Patient-Generated Health Data to Predict Cardinal Symptoms and Sinonasal Inflammation.

American journal of rhinology & allergy Mar 11, 2025
BackgroundThe diagnosis of chronic rhinosinusitis (CRS) relies upon patient-reported symptoms and objective nasal endoscopy and/or computed tomography (CT) findings. Many patients, at the time of evaluation by an otolaryngologist or rhinologist, lack...
Male Middle Aged Sinusitis Aged Adult Machine Learning Humans Tomography, X-Ray Computed Patient Reported Outcome Measures Female Rhinitis Chronic Disease Rhinosinusitis
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Bone-wise rigid registration of femur, tibia, and fibula for the tracking of temporal changes.

Journal of applied clinical medical physics Mar 11, 2025
BACKGROUND: Multiple myeloma (MM) induces temporal alterations in bone structure, such as osteolytic bone lesions, which are challenging to identify through manual image interpretation. The large variation in radiologists' assessments, even at expert...
Tibia Femur Fibula Imaging, Three-Dimensional Image Processing, Computer-Assisted Multiple Myeloma Humans Algorithms Neural Networks, Computer Tomography, X-Ray Computed
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Low-dose CT reconstruction using cross-domain deep learning with domain transfer module.

Physics in medicine and biology Mar 11, 2025
. X-ray computed tomography employing low-dose x-ray source is actively researched to reduce radiation exposure. However, the reduced photon count in low-dose x-ray sources leads to severe noise artifacts in analytic reconstruction methods like filte...
Humans Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Radiation Dosage
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A deep-learning model to predict the completeness of cytoreductive surgery in colorectal cancer with peritoneal metastasis☆.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Mar 10, 2025
BACKGROUND: Colorectal cancer (CRC) with peritoneal metastasis (PM) is associated with poor prognosis. The Peritoneal Cancer Index (PCI) is used to evaluate the extent of PM and to select Cytoreductive Surgery (CRS). However, PCI score is not accurat...
Aged Adult Colorectal Neoplasms Humans Prognosis ROC Curve Tomography, X-Ray Computed Peritoneal Neoplasms Female Cytoreduction Surgical Procedures Male Middle Aged Deep Learning
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Optimization of primary screw stability in Trabecular bone using neural network-based models.

Computer methods and programs in biomedicine Mar 10, 2025
BACKGROUND AND OBJECTIVE: Screw implant stability in bone is crucial to the success of many orthopaedic procedures, yet the relationship between screw design parameters and specific bone characteristics remains underexplored. This study aims to optim...
Linear Models Machine Learning Cancellous Bone Humans Tomography, X-Ray Computed Neural Networks, Computer Bone Screws
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A CT-based interpretable deep learning signature for predicting PD-L1 expression in bladder cancer: a two-center study.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 10, 2025
BACKGROUND: To construct and assess a deep learning (DL) signature that employs computed tomography imaging to predict the expression status of programmed cell death ligand 1 in patients with bladder cancer (BCa).
Humans Retrospective Studies Tomography, X-Ray Computed B7-H1 Antigen Nomograms Male Urinary Bladder Neoplasms Middle Aged Female Deep Learning Aged Aged, 80 and over
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Self-supervised U-transformer network with mask reconstruction for metal artifact reduction.

Physics in medicine and biology Mar 10, 2025
. Metal artifacts severely damaged human tissue information from the computed tomography (CT) image, posing significant challenges to disease diagnosis. Deep learning has been widely explored for the metal artifact reduction (MAR) task. Nevertheless,...
Tomography, X-Ray Computed Deep Learning Metals Image Processing, Computer-Assisted Supervised Machine Learning Artifacts Humans
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A deep learning model for inter-fraction head and neck anatomical changes in proton therapy.

Physics in medicine and biology Mar 10, 2025
To assess the performance of a probabilistic deep learning based algorithm for predicting inter-fraction anatomical changes in head and neck patients.A probabilistic daily anatomy model (DAM) for head and neck patients DAM (DAM) is built on the varia...
Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms Humans Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted Dose Fractionation, Radiation Proton Therapy
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Artificial Intelligence for Teaching Case Curation: Evaluating Model Performance on Imaging Report Discrepancies.

Academic radiology Mar 9, 2025
RATIONALE AND OBJECTIVES: Assess the feasibility of using a large language model (LLM) to identify valuable radiology teaching cases through report discrepancy detection.
Humans Feasibility Studies Tomography, X-Ray Computed Internship and Residency Artificial Intelligence Retrospective Studies Sensitivity and Specificity Radiology
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Deep Radon Prior: A fully unsupervised framework for sparse-view CT reconstruction.

Computers in biology and medicine Mar 9, 2025
BACKGROUND: Sparse-view computed tomography (CT) substantially reduces radiation exposure but often introduces severe artifacts that compromise image fidelity. Recent advances in deep learning for solving inverse problems have shown considerable prom...
Image Processing, Computer-Assisted Unsupervised Machine Learning Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer Algorithms
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