Radiology

Peer Reviews

An essential primer for radiologists

Gabriel Chartrand, PhD, Phillip M Cheng, MD, MS Eugene Vorontsov, BASc Eng Sci, Michal Drozdzal, PhD Simon Turcotte, MD, MSc, Christopher J Pal, PhD Samuel Kadoury, PhD, An Tang, MD, MSc Author’s Summary Deep learning is a class of machine learning methods that are gaining success and attracting int

2 minute read
Abstracts

Jonathan – Medical Imaging and Biomedical Diagnostics

Jonathan Lukeoff Background/problem 2 years ago, Jaime Olmos and I published a paper arguing that diagnostic medical radiation was over utilized and more harmful than clinicians considered. We documented that the literature backed us up, but that no method had been utilized to end this overexposure.

2 minute read
Abstracts

Jenae Vancura – Medical Imaging and Biomedical Diagnostics

Jenae Vancura   2019-11-04 08:01:47 (GMT) This past year during a shadowing experience in neurosurgery, a family came in for a consult regarding lesions that were discovered in their son’s brain stem. To everyones surprise, when we sat down to look at the follow-up MRI from that morning, the le

2 minute read
Abstracts

Devika – Medical Imaging and Biomedical Diagnostics

Devika Rajan MIA, known as the Medical Illustration Aid, is a voice activated “smart board” that presents a 3D rotatable image used to illustrate diagnoses and procedures. The board is a screen mounted onto the wall in the clinic room and includes a stylus with a microphone on one side for the clini

3 minute read
Abstracts

Amrit – Medical Imaging and Biomedical Diagnostics

Amrit Virdee Apart from walking into a pharmacy and asking a Pharmacist, current methods for identifying prescription medications involve using various prescription medication recognition portals such as PillBox (https://pillbox.nlm.nih.gov/pillimage/search.php),  WebMD Pill Identifier (https://www.

< 1 minute read
AI in Medicine

Questions to ask at the upcoming RSNA annual meeting

The 105th Radiological Society of North America (RSNA) Scientific Assembly and Annual Meeting will take place between 1 and 6 December at McCormick Place in Chicago. In support of the event, AIMed has invited Dr. Eldad Elnekave, US and Israeli Board Certified Radiologist and Chief Medical Officer of

3 minute read
Podcasts

AIMed Podcast with Zebra Medical Vision

AJ at AIMed brought together Rizwan Malik, Royal Bolton NHS Foundation Trust, and Eldad Elnekave, Zebra Medical Vision, together to talk all things AI and medical imaging in the build up to RSNA. Eldad Elnekave, MD is a US and Israeli Board Certified Radiologist and has served as the Chief Medical O

< 1 minute read
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