Pitting three multipurpose LLMs against two healthcare-specific AI tools, researchers have discovered the consumer-level AI can beat its purpose-built counterparts in healthcare scenarios—and soundly, at that.
It will include both in-person observational rotations and virtual learning sessions, giving students an opportunity to experience the full patient care cycle, from consultation to follow-up.
Understanding imaging is beneficial to all medical residents, not just those pursuing a career in the specialty, but many have reported feeling uninformed about the field as a whole.
Butterfly Network has sent 500 of its iQ+ handheld ultrasound devices to Kenya as part of a charitable effort to improve outcomes for, primarily, mothers-to-be and their babies in Sub-Saharan Africa.
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.
