Register and share your invite link to earn from video plays and referrals.

Search results for dermatology
dermatology community
One keyword maps to one global community path.
Create community
People
Not Found
Tweets including dermatology
Presenting recently published findings on how dermatology AI tools may help laypeople with their own skin-related questions, such as increased ability to name conditions, & some benefits in determining what next steps to take. Read more →
Show more
My dermatologist told my middle-aged face it was time to course correct with this essential brightener
[MMGH-002] A beautiful dermatologist is shown a fully erect penis during an examination. Tomoda Ayaka, Sakino Mizuki
Michael Jackson’s close friend and ‘dermatologist to the stars’ Arnold Klein could have done more to save King of Pop: producer
I slept with diaper cream on my face-and dermatologists actually approve
For my birthday, everyone’s checking in with best wishes: my local library, my dermatologist, even a hospital I haven’t visited in years, writes Brenda Cronin
Collagen supplements are everywhere, but do they actually work? Here, five dermatologists give their honest opinions on how—and if—we should be taking these so-called skin and health miracle workers.
Show more
🔍 You notice "red dots on your legs" — but could you search for "palpable purpura"? Google studied how far AI can help people actually understand skin conditions, with 2,345 participants. Title: Research into how AI can help users understand skin conditions URL: 💡 Overview More than half of adults search online for health info and one in three turn to AI. Google Research looked not at AI's diagnostic accuracy itself, but at how much AI actually helps laypeople make better decisions, across two user studies. 🩺 Challenges Solved People can spot "red dots" but rarely know to search "palpable purpura." Being able to access information is not the same as understanding it and choosing the right next step. This work tackles exactly that gap. 🧪 Methodology Using real de-identified cases with images and medical histories, 2,345 participants were randomized into three arms: a control using normal web search, an AI arm showing 3-7 image-backed predicted conditions, and a Wizard of Oz arm where the candidates were dermatologist-verified ground truth. A community study with 110 local participants tested a 4-language app in the real world. 📊 Experimental Results Condition-naming accuracy nearly tripled, 23% for AI versus 8% for control. In the community study, naming ability rose 260% and clinicians rated the app helpful 92% of the time. But accuracy on "see a doctor or self-care?" barely improved, and AI users tended to underestimate urgency. Identifying a condition is not the same as acting on it correctly. #AI# #HealthTech#
Show more