Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 41,941 to 41,950 of 223,853 articles
AI-enabled Living Labs: Accelerating innovation in multiple sclerosis care and research.
Multiple sclerosis (Houndmills, Basingstoke, England)
Mar 13, 2026
The rapid rise of artificial intelligence (AI) and digital health technologies presents new opportunities for personalized care in multiple sclerosis (MS). However, implementation in routine practice is limited by regulatory hurdles, fragmented infra... read more
Optimizing material composition determination in dual-energy computed tomography: a comparative study of a linear model and a fully connected neural network.
Radiation protection dosimetry
Mar 13, 2026
Accurate elemental decomposition in dual-energy computed tomography (DECT) is crucial for precision in radiation therapy planning. We present a comparative study of linear regression and fully connected neural networks (FCNNs) for voxel-wise predicti... read more
Nonprewhitening model observers in the Fourier and spatial domain: a comparison of predictions for iterative and deep learning reconstruction in computed tomography.
Radiation protection dosimetry
Mar 13, 2026
The nonprewhitening matched filter (NPWMF) is frequently used to assess task-based image quality in computed tomography (CT). However, modern reconstruction algorithms, based on iterative reconstruction (IR) or Deep Learning image reconstruction (DLI... read more
Assessing the influence of kernel selection on chest computed tomography image quality across varying dose levels using TrueFidelity reconstruction.
Radiation protection dosimetry
Mar 13, 2026
Deep learning image reconstruction (DLIR) utilizes neural networks to generate high-quality computed tomography (CT) images. One commercially available DLIR software is TrueFidelity from GE Healthcare. The Standard kernel was the only available recon... read more
Assessing the robustness of AI lesion risk scores at different exposure settings using an anthropomorphic breast phantom.
Radiation protection dosimetry
Mar 13, 2026
To assess the robustness of risk scores provided by an artificial intelligence (AI) system for digital mammography (DM), when varying the exposure conditions. An anthropomorphic breast phantom containing a lesion, was imaged with DM at different tube... read more
Annotation and characterization of lesions in breast tomosynthesis images.
Radiation protection dosimetry
Mar 13, 2026
Rapid adoption of artificial intelligence methods in breast imaging research emphasizes the need for large, appropriately curated image databases for development and validation. For digital breast tomosynthesis (DBT), there are few public databases w... read more
When focus fades: radiologist fatigue and artificial intelligence support systems-a narrative review.
Radiation protection dosimetry
Mar 13, 2026
The radiology reading room today is busier than ever with increasing numbers of cases that contain more images, sequences, and complex findings. Consequently, radiologists are becoming more fatigued and burned out. To address this growing problem, st... read more
From digital chest tomosynthesis to 3D CT.
Radiation protection dosimetry
Mar 13, 2026
Digital chest tomosynthesis refers to the 3D reconstruction of low-dose projection images acquired within a limited angular range. The reconstructions have lower depth resolution and are more prone to motion artifacts compared to computed tomography ... read more
Improving visibility of small anatomical details on low and ultra-low dose computed tomography with artificial intelligence-based image reconstructions.
Radiation protection dosimetry
Mar 13, 2026
To assess how computed tomography (CT) image reconstruction techniques affect perceived diagnostic image quality at varying radiation dose levels in chest imaging. A PBU-50 anthropomorphic phantom (small adult-sized model) and an air-dried human lung... read more
Comparison between artificial intelligence-based and manual organ delineations in pretreatment computed tomography scans of prostate cancer patients: a visual grading study.
Radiation protection dosimetry
Mar 13, 2026
This study aimed to evaluate the clinical acceptability of artificial intelligence (AI)-based organ segmentations on pretreatment CT images of prostate cancer patients using manual organ delineations as a reference. Paired AI-based segmentations and ... read more
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