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.
The American Society of Echocardiography recognized the lack of training and standardization for point-of-care ultrasound users and decided to do something about it.
Three years after the height of COVID forced a global transition to remote work, many professionals are now being called back into the office, including radiologists.
While radiologists and current trainees are either prepared to or are already embracing artificial intelligence, a significant portion of medical students shy away from radiology because of AI.
Researchers at the University of Illinois Chicago have developed an elective course that can quickly transform fourth-year medical students from functional AI novices to budding AI experts.
Surveying the landscape of interpretive AI in radiology, two researchers note a yawning gap between great expectations set in the recent past and actual clinical implementations as of spring 2023.
Radiology trainee programs must overcome several barriers to offer J-1 and/or H-1B visas to trainees, with more difficulties associated with the latter.
The National Science Foundation (NSF) is setting up seven new institutes for studying foundational AI. Two of the initiatives have healthcare as a prime focus.
