Recent content by Naijaba

There are many directions radiology could go: Most likely: Read more studies to maintain current salary levels. This is exactly what has happened with prior radiology efficiency improvements. Possible: Other providers reading images and getting reimbursed directly (e.g. cutting the radiologist...

I’m an IR (resi)fellow.

I haven't posted here in nearly a decade, but the latest breakthroughs in AI/ML deserves an awareness post for future trainees. In 2016, radiologist were aghast when Geoffrey Hinton (one of the pioneers of the current AI era) said, "We should stop training radiologists now." If you were starting...

I realize this post is a bit stale, but here are some encouraging words from BoardVitals themselves: https://www.boardvitals.com/blog/national-pass-rates-versus-board-vitals/ "Students that score near the average percent correct on our question banks consistently pass." Radiology Exam Pass...

Hi, I haven't posted on this site in a while. I am one of the current instructors of the Deep Learning pathway at UW. It is possible to learn the terminology of machine learning using available web resources. However, to actually understand machine learning, you have to train / test / deploy...

Yes, I admit I was overly zealous. Moreover, apart from the technical feasibility of AI, I question the profitability of AI-companies. In the current environment, accuracy isn't the bottleneck. Volumes are. Radiologists have to look at every image, even those flagged as "normal." IMHO, the best...

Yes, I think my intern year and first few months of radiology opened my eyes quite a bit. My main reason (similar to the NYT article) is limited generalizability. I absolutely believe AI is better than radiologists for many isolated problems (pneumothorax detection, lesion tracking, pneumonia...

Long is an understatement. There's little to no integration of AI at the radiologist's workstation, and most (all?) vendors are going the traditional PACS-integration route. When the dust settles, I believe AI will be a PACS feature, likely owned by the major vendors. Each AI model solves a...

I figured I'd give a little insight into my experience with what's happening in AI/ML and radiology. There's a great opinion piece from the New York Times that came out today. It echoes my thoughts and prompted me to write this post. The gestalt of the article is that deep learning has enabled...

We just had a panel discussion with four radiologists in private practice. Here's a common salary scheme (since real salary info seems difficult to find, and it should be available to med students making this important decision): -Full benefits (health/dental/retirement matching/etc.) -7:30 am...

I heard the fail rate was ~23% this year, but it's just hearsay.

This is absolutely false, and presents a common misconception in machine learning, particularly deep learning. Training an AI on 1,000 images does not mean the model will only be as good as the best radiologist performing the training reads. Deep learning is incredibly synergistic, and can...

For anyone following AI developments in healthcare, the FDA just approved the first device that uses ML to screen for diabetic retinopathy without an optometrist reading the image: FDA permits marketing of artificial intelligence-based device to detect certain diabetes-related eye problems The...

Yes, it's the most competitive. I hypothesized about this last year. Let me add another observation: I've met numerous surgical and medicine attendings who've said, "I think IR would've been the perfect fit for me, had I known it existed." Conversely, I haven't met a single IR who has said, "I...

I'm going into radiology, but currently doing general surgery internship. My mindset has shifted somewhat over this past year regarding the role of AI in radiology. I also work as a software engineer training ML models for healthcare and have a reasonable idea about what AI can accomplish. I...