You might have heard about a smidge of wintry weather we in the Northeast experience, a few days ago. Dire predictions of 1-2 feet of snow, at least in my neck of the woods, proved excessive; we mostly got sleet and freezing rain. All said and done, it didn’t look like much-but it doesn’t take much ice to make my sloping driveway insurmountable to most folks and their vehicles. I’ve come to consider shoveling the thing a welcome change of pace from my usual exercise-routine. Shoveling, however, does not quite describe the icy task this time around…a pickaxe might have been better suited to the task. Whether it’s a foot of snow or the 1-2 inches’ thickness of ice I had to deal with this time around, clearing the driveway can be slow going. The mind, much like a kid in the backseat on a road-trip asking “Are we there yet,” is persistent with “Are we almost done?” (And variations thereof, such as “How much have we accomplished?”) It’s a familiar refrain to me, initially from my years of distance-running (in competition, and then just to remain relatively healthy). Others may be more capable, but I can’t run for an hour or more, especially trying to push my limits, without occasionally thinking about how much of my self-inflicted ordeal is done versus how much is left to go. I remember some wiser-than-I individual, back during my racing days, offering some advice about where you were supposed to train your eyes while running these multi-mile courses. It regarded the potentially-fatiguing effect of excessively dwelling on the length/duration of your task: You were supposed to look straight ahead into the distance, rather than staring at your feet or the ground just in front of them. You’d thus be thinking about progress towards landmarks a good ways ahead…not watching your increasingly-weary steps, and the paltry interval covered by each footfall. Such strategic focusing also comes into play in my telerad work (you did see where I was going with this, right? I mean, this is a radiology blog, after all). However many hours you work at a clip, however many cases you’re reading, you’re probably going to have a periodic thought about how much of your day has gone by. Or your worklist. Or some other metric relevant to your situation. Keeping too keen an eye on the clock, your RVUs, etc., you’ll be like a runner staring at his feet, counting every step of his miles-long trek. Or, like me in my frigid driveway, every chunk of ice chipped from its spot. It’ll seem to take forever. Keeping your eyes on the more distant prize will go a long way towards maintaining your stamina.
Burnout in Radiology: Key Risk Factors and Promising Solutions
June 9th 2025Recognizing the daunting combination of increasing imaging volume and workforce shortages, these authors discuss key risk factors contributing to burnout and moral injury in radiology, and potential solutions to help preserve well-being among radiologists.
Mammography AI Platform for Five-Year Breast Cancer Risk Prediction Gets FDA De Novo Authorization
June 2nd 2025Through AI recognition of subtle patterns in breast tissue on screening mammograms, the Clairity Breast software reportedly provides validated risk scoring for predicting one’s five-year risk of breast cancer.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.