U.S. cardiology groups have worked together to propose the creation of a new American Board of Cardiovascular Medicine for certifying cardiologists. Now, after many months of waiting, a final decision is expected by the end of February.
Though numerous web-based tools have been created to flag published works that appear suspicious for AI authorship, the performances of these tools has been inconsistent thus far.
Among AI’s most watchful stakeholders are healthcare organizations in need of AI talent and AI talent in need of work in healthcare. Both groups need to keep up with the technology in its present as well as future iterations.
In a more perfect world, legal cases against radiologists would solely focus on whether or not the defendant’s misdiagnosis reflected a true failure to uphold the standard of care.
The growing use of ChatGPT on residency applications is prompting concerns over how LLMs might affect the authenticity and value of personal statements in the future.
Such tools can be especially beneficial for trainees working late-night shifts, when quality feedback is generally delayed and more difficult to come by.
Many traditional radiology courses leave out hands-on opportunities for students—something that could greatly benefit their understanding of the specialty.