The COVID-19 pandemic effectively eliminated the option of group gatherings and compelled academic program directors to turn to a virtual format for their grand rounds.
Is the Training and Cost of a Fellowship Worth It? Here’s What Otolaryngologists Say
If you’re an otolaryngology resident considering a private practice career, how do you decide what the value of a fellowship is to you?
Triological Society Research Career Development Award Recipients Achieve Disproportionately High Academic Success
CDA awardees achieve higher academic success than academic otolaryngologists in general, but female CDA recipients lag behind their male colleagues.
Podcasts Becoming More Popular Method of Education for Otolaryngologists
Podcasts were a popular format before this year, but COVID-19 created a greater need for online medical education resources.
An Update on Progress Toward Subcertification in Complex Pediatric Otolaryngology
The training pathway for pediatric otolaryngologists will require completion of an ACGME-accredited fellowship and satisfaction of the eligibility criteria.
Publishers Are Making All COVID-19 Research Freely Available
Medical journals around the world are opening access to COVID-19-related research for public viewing to ensure timely access to information and to share research that may slow the pandemic.
TAASE Educational Development Framework May Be Useful for Surgical Trainees
Can otolaryngology surgeons successfully use the Technician, Anatomist, Anticipator, Strategist, Executive (TAASE) surgical education developmental framework?
At-Home vs. In-Home Calls: How Residency Programs Decide Which Option Is Best
There are pros and cons to at-home and in-home calls, but the biggest concern is educating the resident and caring for patients.
Letter from the Editor: Looking Beyond Otolaryngology to the Explosion of Technology in Medicine
It’s good to take a trip outside the otolaryngology world once in a while to experience something novel and innovative.
Validated Machine Learning Models Show Significant Success
Investigators have realized significant success in validated models using machine learning, but challenges remain in their implementation.
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