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Deep learning reconstruction for optimized bone assessment in zero echo time MR imaging of the knee.
European journal of radiology
Aug 4, 2024
PURPOSE: To evaluate the impact of deep learning-based reconstruction (DLRecon) on bone assessment in zero echo-time (ZTE) MRI of the knee at 1.5 Tesla.
Deep learning-based diagnosis and survival prediction of patients with renal cell carcinoma from primary whole slide images.
Pathology
Aug 3, 2024
There is an urgent clinical demand to explore novel diagnostic and prognostic biomarkers for renal cell carcinoma (RCC). We proposed deep learning-based artificial intelligence strategies. The study included 1752 whole slide images from multiple cent...
The minimal computational substrate of fluid intelligence.
Cortex; a journal devoted to the study of the nervous system and behavior
Aug 3, 2024
The quantification of cognitive powers rests on identifying a behavioural task that depends on them. Such dependence cannot be assured, for the powers a task invokes cannot be experimentally controlled or constrained a priori, resulting in unknown vu...
Performance of AI for preoperative CT assessment of lung metastases: Retrospective analysis of 167 patients.
European journal of radiology
Aug 3, 2024
OBJECTIVES: To evaluate the performance of artificial intelligence (AI) in the preoperative detection of lung metastases on CT.
Fully Automated Hippocampus Segmentation using T2-informed Deep Convolutional Neural Networks.
NeuroImage
Aug 3, 2024
Hippocampal atrophy (tissue loss) has become a fundamental outcome parameter in clinical trials on Alzheimer's disease. To accurately estimate hippocampus volume and track its volume loss, a robust and reliable segmentation is essential. Manual hippo...
Exploring the Potential of a Smart Ring to Predict Postoperative Pain Outcomes in Orthopedic Surgery Patients.
Sensors (Basel, Switzerland)
Aug 3, 2024
Poor pain alleviation remains a problem following orthopedic surgery, leading to prolonged recovery time, increased morbidity, and prolonged opioid use after hospitalization. Wearable device data, collected during postsurgical recovery, may help amel...
Utilizing deep learning model for assessing melanocytic density in resection margins of lentigo maligna.
Diagnostic pathology
Aug 3, 2024
BACKGROUND: Surgical excision with clear histopathological margins is the preferred treatment to prevent progression of lentigo maligna (LM) to invasive melanoma. However, the assessment of resection margins on sun-damaged skin is challenging. We dev...
Machine learning characterization of a rare neurologic disease via electronic health records: a proof-of-principle study on stiff person syndrome.
BMC neurology
Aug 3, 2024
BACKGROUND: Despite the frequent diagnostic delays of rare neurologic diseases (RND), it remains difficult to study RNDs and their comorbidities due to their rarity and hence the statistical underpowering. Affecting one to two in a million annually, ...
Combining robotics and functional electrical stimulation for assist-as-needed support of leg movements in stroke patients: A feasibility study.
Medical engineering & physics
Aug 3, 2024
PURPOSE: Rehabilitation technology can be used to provide intensive training in the early phases after stroke. The current study aims to assess the feasibility of combining robotics and functional electrical stimulation (FES), with an assist-as-neede...
Estimating three-dimensional foot bone kinematics from skin markers using a deep learning neural network model.
Journal of biomechanics
Aug 3, 2024
The human foot is a complex structure comprising 26 bones, whose coordinated movements facilitate proper deformation of the foot, ensuring stable and efficient locomotion. Despite their critical role, the kinematics of foot bones during movement rema...
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