The use of AI in healthcare has the potential to improve clinical care and efficiency, accelerate research, and empower patients and communities, but challenges must be addressed.

ENT Surgeons Explore the Benefits and Challenges of AI-Powered Scribes: Revolutionizing Documentation in Healthcare
In the fall of 2024, artificial intelligence-powered ambient scribe technology was rolled out across the University of California, San Francisco (UCSF) health system, allowing otolaryngologists and other clinicians to transcribe conversations with patients into text with just a click of a button.

How Residents and Medical Students Are Embracing New Technologies For Learning in 2025
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.

From Consent to Care: Protecting Patient Privacy in the Era of Advanced Imaging and AI
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.
Integration of AI into Otorhinolaryngology Expands with Future Promise
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, […]

Patient Concerns about AI in Their Healthcare
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.

Will AI Take My Job?
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.

Everything AI and Its Effect on Otolaryngology
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.

Large language Model AI Technology Is Being Used in Some Healthcare Applications, but Is It Any Good?
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.
Report on ChatGPT Provides Guidance on Effective and Ethical Use for Academic Writers
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.