(D) Sagittal FSE T2-weighted MR image of cervical spine after a course of hyperbaric recompression (12 days after the accident). MRI revealed a decreased extension of the patchy areas of increased ...

Knowing a patient's symptoms helps radiologists in lumbar spine MRI interpretation and diagnosis, according to a study published in Radiology. MRI is the most important imaging exam in patients ...

Correspondence to Dr Santhosh Kumar Kannath, Neurointervention Centre, Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute For Medical Sciences And Technology, ...

Radiologists were able to reach "nearly perfect" diagnoses for lumbar spine MRIs if they get patent-reported symptom information, according to an Oct. 29 study in Radiology. Four things to know: 1.

This project aims to develop a Convolutional Neural Network (CNN) deep learning model for analyzing MRI scans of the lumbar spine, specifically focused on three spinal conditions: Spinal Canal ...

The MRI of the cervical spine was normal. Blood tests showed slightly elevated lactate dehydrogenase ... and the patient was referred to the neurosurgeons for a possible hypophysectomy. Fig. 1 ...

Remedy Logic, a radiology AI company, received FDA clearance for RAI, an AI-powered program for spine MRI interpretation. RAI was initially introduced in 2020 and helped radiologists improve ...

as contrast agents visualized by MRI, are used for cell labeling. In vivo tracking of stem cells in brain & spinal cord lesions MRI detection as well as histological analysis demonstrated that ...

Spinal arthritis is the inflammation of the joints between the bones in your spine or the joints connecting your spine to your pelvis. Spinal arthritis can be caused by autoimmune diseases, wear and ...

Deep learning (DL) delineation of the prostate gland and prostate cancer detection on PSMA PET/CT: results from prospective, randomised, multi-centre pro-PSMA trial ...

They will show up on an X-ray as a lighter, solidified mass. A 2024 study found a diagnostic accuracy of 77.9% with mammography screenings. With MRI, a contrast dye, usually gadolinium, is injected to ...