AuntMinnie

MARCH 20, 2025

Medical image experts demonstrated superior perceptual accuracy in response to visual illusions compared with a control group, according to recent research. and colleagues. Participants were presented with the Ebbinghaus, Ponzo, Mller-Lyer, and Shepard Tabletops visual illusions via forced-choice tasks.

Radiologist 275

Radiologist Radiography Radiograph Radiographer 275

Aidoc

AUGUST 1, 2024

Deep learning, a subset of machine learning, has significantly improved medical imaging analysis. Deep learning algorithms are trained to recognize specific markers in medical images, streamlining data analysis and improving diagnostic speed for accuracy. One field that has seen substantial benefits is radiology.

Healthcare 52

Healthcare Healthcare Disease Clinic 52

European Society of Radiology: AI

SEPTEMBER 11, 2023

This study evaluates deep learning (DL) algorithms that are playing an increasingly important role in automatic medical image analysis. The DL algorithm used was trained and externally evaluated on open-source, multi-centre retrospective data that contained radiologist-annotated non-contrast CT head studies.

Computed Tomography 52

Computed Tomography Imaging Medical Imaging Radiologist 52

AuntMinnie

OCTOBER 2, 2024

The following is the list of candidates for the 2024 edition of the Minnies, AuntMinnie.com 's campaign to recognize the best and brightest in medical imaging. Commercially Available Chest Radiograph AI Tools for Detecting Airspace Disease, Pneumothorax, and Pleural Effusion. To learn more about this paper, click here.

Digital Imaging and Communications in Medicine 360

Digital Imaging and Communications in Medicine X-ray MRI Hospital 360

AuntMinnie

JANUARY 10, 2025

Crossroads Amid these debates, we as radiologists stand at a crossroads: is the human element in imaging interpretation dispensable or indispensable? This is certainly true within a liminal space, but the endpoint is clear: We interpreters of medical imaging will be replaced. RadioGraphics. Harvey HB, et al.

Radiologist 278

Radiologist Radiology Medicare Image Interpretation 278

Radiology Cafe

FEBRUARY 5, 2019

after seeing the image. (2) Photoprint from radiograph by W.K. 3) In the early twentieth century, it was a common goal for investigators to try to find a way to separate the superimposed shadows that were recorded when a complex structure was shown on a radiograph. (3) This is now known as ‘Hand mit Ringen’. (1) Röntgen, 1895.

Digital Imaging and Communications in Medicine 52

Digital Imaging and Communications in Medicine Picture Archiving and Communication System X-ray Radiology 52