Medical students and residents are embracing new technologies to help them study. This shift is driven by advances in artificial intelligence (AI), educational platforms, and other digital tools, along with demands for more flexible and personalized learning.
Today’s physicians must ensure that patients understand all possible implications of image sharing—as well as the consequences of refusing or revoking access—in a quickly evolving landscape.
CLINICAL QUESTION What are the implications of applying various branches of artificial intelligence (AI) to the subfields of otology, rhinology, laryngology, and head and neck? BOTTOM LINE Given its progression, […]
It’s predicted that the capabilities of AI and AI-supported applications will include enhancement of pertinent data summaries that are far more comprehensive than individual physician literature searches can provide.
It’s critical that otolaryngologists become familiar with, educated about, and unafraid of AI to prepare for the inevitable integration of AI applications into their practices.
Virtual (VR), augmented (AR), and mixed realities (MR) all fall under the umbrella of extended reality (XR) and are characterized by extending a user’s experience into different worlds via technology that simulates those realms. In healthcare, currently, one of the main uses of XR occurs during surgery.
As with any powerful new technology, excitement over the real and potential benefits of LLMs within healthcare will need to be continually evaluated against real and potential risks. With the launch of ChatGPT for general usage, the time has arrived to weigh in on this balancing act as more people adopt the technology.
If writers understand ChatGPT’s strengths and weaknesses, they can harness its power to make their processes more efficient and their products more robust, leveraging the tool to their advantage.
This article is the first in a series of five that looks at the broad dimensions of AI within the context of healthcare in general and otolaryngology where apt. This first article describes basic principles of AI and how these technologies are currently used in healthcare.