Computing eye gaze metrics for the automatic assessment of radiographer performance during X-ray image interpretation
Sign Up to like & getrecommendations! Published in 2017 at "International journal of medical informatics"
DOI: 10.1016/j.ijmedinf.2017.03.001
Abstract: AIM To investigate image interpretation performance by diagnostic radiography students, diagnostic radiographers and reporting radiographers by computing eye gaze metrics using eye tracking technology. METHODS Three groups of participants were studied during their interpretation of… read more here.
Keywords: eye gaze; image; eye tracking; image interpretation ... See more keywords
Image Interpretation: Practical Triage of Benign from Malignant Renal Masses.
Sign Up to like & getrecommendations! Published in 2020 at "Radiologic clinics of North America"
DOI: 10.1016/j.rcl.2020.06.002
Abstract: Indeterminate renal masses remain a diagnostic challenge for lesions not initially characterized as angiomyolipoma or Bosniak I/II cysts. Differential for indeterminate renal masses include oncocytoma, fat-poor angiomyolipoma, and clear cell, papillary, and chromophobe renal cell… read more here.
Keywords: indeterminate renal; renal masses; practical triage; image interpretation ... See more keywords
Explosion Scene Forensic Image Interpretation
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Forensic Sciences"
DOI: 10.1111/1556-4029.13996
Abstract: Image interpretation is an important aspect in the field of forensic science; however, it is seldom reported how to use these techniques in explosion scene forensic investigations. On 12 August 2015, a series of explosions… read more here.
Keywords: explosion scene; image; interpretation; image interpretation ... See more keywords
A Comparison of Artificial Intelligence and Human Diabetic Retinal Image Interpretation in an Urban Health System.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of diabetes science and technology"
DOI: 10.1177/1932296821999370
Abstract: INTRODUCTION Artificial intelligence (AI) diabetic retinopathy (DR) software has the potential to decrease time spent by clinicians on image interpretation and expand the scope of DR screening. We performed a retrospective review to compare Eyenuk's… read more here.
Keywords: artificial intelligence; image interpretation; software;