A maximal squat or deadlift can do something most lifters never expect — rupture an inner-ear window. The explosive mechanism, the red flags to recognize, and what return-to-lifting actually looks like after a perilymphatic fistula from weightlifting.
The relationship between music genre and hearing loss is closer than most people realize. An ENT specialist compares classical, ballad, hip-hop, and EDM — and explains which genres put your ears most at risk.
Sudden, brief stabbing ear pain with no other symptoms? An ENT explains primary stabbing otalgia — a benign and surprisingly common pattern — how to recognize it, what it isn’t, and the red flags that actually warrant evaluation.
Fifteen years of e-cigarette data is enough to reveal upper-airway damage but too short to assess cancer risk. Here’s what the long-term effects of vaping look like compared with smoking — stratified by what’s confirmed, signaled, and unknown.
That morning-after spinning has a name and a mechanism. An ENT breaks down why the room spins when you’re drunk — and what actually helps it stop faster than time alone.
AI voices can now express emotions convincingly. From an otolaryngologist’s clinical lens, see how emotional TTS reverse-engineers the larynx — and where the technology still falls short of human speech.
Why does an ENT prescribe mouthwash when pharmacy shelves are full of options? The difference between prescription mouthwash and over-the-counter rinses is not about strength — it’s about purpose.
Most people know they shouldn’t use cotton swabs in ears, but the four reasons
they push back actually sound reasonable. An ENT examines each — sticky earwax,
the post-shower habit, “I only clean what I can see,” and the earphone
comparison — against the published evidence.
CNN-based AI for laryngeal cancer diagnosis is now backed by the first large pooled evidence base. The 2025 Current Oncology
A clinical deep dive into convolutional neural networks in medicine — landmark studies in dermatology, ophthalmology, and otolaryngology, and the gap between benchmark accuracy and clinical utility.
