- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
BYOD: Radiology Apps Worth Checking Out
At SIIM 2014, mobile technology was a hot topic. See the apps presented by a mobile technology expert here.
With over a million apps in the app store, finding a valuable radiology app can be a daunting process. At SIIM 2014, Woojin Kim, MD, assistant professor of radiology, hospital of the University of Pennsylvania, divided apps into categories and called out a few worth checking out. Here is a brief list:
Teaching
Case Review
Case Reviews: helps prepare for radiology boards.
iRadiology: quick review of classic radiology cases.
Radiology 2.0: One Night in the ED: presents teaching files.
Radiopaedia: explores medical imaging material.
Quiz
Ctisus iQuiz: quizzes on radiology topics.
Syllabus
AIRP Syllabus: syllabus lecture materials.
Reference
Textbook
Diagnostic Radiology: dynamic approach to abdominal radiology.
Anatomy
IMAIOS e-Anatomy: atlas of human anatomy for radiologists.
Differential Diagnoses
Chest Radiology Differential Diagnosis Lists: differential diagnosis lists.
Calculator – Bone Age
Bone Age: Gilsanz and Ratib digital hand bone age atlas.
Normal Values
RadRef – Normal Values in Diagnostic Imaging: access the normal range of frequent measurements.
Acronyms
iMRI: library of MRI acronyms.
Simulator
MRI Simulator: simulates MRIs.
Protocols
iRad MRI: vendor free protocols.
Radiographic Positioning
iRad Xrays: positioning and anatomy atlas.
Multimedia and Navigation
mskNAV: learning and navigating musculoskeletal ultrasound.
Image Viewer
Mobile MIM: viewing, registration, fusion or display for diagnostic imaging.
Deep Learning Detection of Mammography Abnormalities: What a New Study Reveals
June 19th 2023In multiple mammography datasets with the original radiologist-detected abnormality removed, deep learning detection of breast cancer had an average area under the curve (AUC) of 87 percent and an accuracy rate of 83 percent, according to research presented at the recent Society for Imaging Informatics in Medicine (SIIM) conference.
Detecting Intracranial Hemorrhages: Can an Emerging AI Advance Have an Impact?
June 9th 2022A 3D whole brain convolutional neural network could provide enhanced sensitivity and specificity for diagnosing intracranial hemorrhages on computed tomography, according to new research presented at the Society for Imaging Informatics in Medicine (SIIM) conference in Kissimmee, Fla.
