Updated large language models have been trained to process both text- and image-based questions, potentially making them more effective in radiology settings.
After experts from one institution evaluated 500 portable chest x-rays completed during the summer of 2021, it was revealed that 46.2% of the images obtained were problematic, requiring the imaging to be repeated.
With the software’s help, the ratio of CTs requiring radiologist review to missed findings identified was 10:1, experts shared, adding that without the help of AI that ratio would be at least 66:1.
Something like 50 million people in 10 parts of the developing world stand to experience a bounce in quality of healthcare in coming years thanks to a major new aid project co-led by two large nonprofits with expertise in medical imaging.
Briefly trained in point-of-care cardiac ultrasound, 72% of second-year medical students obtained clinical-quality views from a mannequin and 61% made the correct diagnosis in a volunteer simulated patient.
In an effort to perhaps dissuade skepticism among medical students who are on the fence about the future of radiologists, experts in the field recently offered a detailed overview of the use of AI in imaging.
If you want to know how radiologists will learn their jobs 10 to 20 years from now, take a look at the ways schoolkids learn their subjects in the 2022-23 school year.
In a book written for popular audiences, a board-certified pediatrician and radiologist’s daughter describes her lifelong affinity for radiology as perhaps only she could.
