AIMC Topic: Radionuclide Imaging
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Diagnostic performance of bone scintigraphy analyzed by three artificial neural network systems.
Annals of nuclear medicine
Oct 28, 2014
OBJECTIVE: The accuracy of bone scintigraphy analyzed by computer-assisted diagnosis (CAD) software involving multiple artificial neural network (ANN) systems has not been well established.
Machine learning based differential diagnosis of SAPHO syndrome and secondary bone tumors using whole body bone scintigraphy.
Scientific reports
May 28, 2025
SAPHO syndrome is an inflammatory disorder with bone and cutaneous manifestations, for which whole-body bone scintigraphy (WBBS) is frequently used in diagnosis. The WBBS findings of SAPHO syndromes and secondary bone tumors (SBT) have overlapping fe...
Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging.
European journal of nuclear medicine and molecular imaging
Mar 1, 2024
How AI May Transform Musculoskeletal Imaging.
Radiology
Jan 1, 2024
While musculoskeletal imaging volumes are increasing, there is a relative shortage of subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence (AI) be the solution? For AI to be the solution, the wide impleme...
The first international network symposium on artificial intelligence and informatics in nuclear medicine: "The bright future of nuclear medicine is illuminated by artificial intelligence".
European journal of nuclear medicine and molecular imaging
Jan 1, 2024
Milestones in CT: Past, Present, and Future.
Radiology
Oct 1, 2023
In 1971, the first patient CT examination by Ambrose and Hounsfield paved the way for not only volumetric imaging of the brain but of the entire body. From the initial 5-minute scan for a 180° rotation to today's 0.24-second scan for a 360° rotation,...
Reply: Deep Learning on Bone Scintigraphy.
JACC. Cardiovascular imaging
Aug 1, 2023
Deep Learning on Bone Scintigraphy.
JACC. Cardiovascular imaging
Aug 1, 2023
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2023
Tooth segmentation from intraoral scans is a crucial part of digital dentistry. Many Deep Learning based tooth segmentation algorithms have been developed for this task. In most of the cases, high accuracy has been achieved, although, most of the ava...
Outcomes of Robot-Assisted Laparoscopic Pyeloplasty Based on Degree of Obstruction on Preoperative Tc-99 MAG-3 Renal Scintigraphy.
Journal of endourology
Feb 1, 2023
Management of symptomatic ureteropelvic junction (UPJ) obstruction with hydronephrosis and discordant Tc-99 mercaptoacetyltriglycine (MAG-3) renal scintigraphy is challenging. In this study we describe long-term outcomes of patients who underwent ro...
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