Sam Polesie
@SPolesieDermatologist, Associate Professor, @Sahlgrenska @SahlgrenskaAcad @goteborgsuni | Deputy Editor @ActaDV | Tweets are my views and opinions |
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@PeDRAResearch
@JoshKotlyar
@drhankopelman
@clinicdermaJour
@LOrtizMed
@MohamadGoldust
@AlexisA417
@K8toconnell
@EmileeHerrings1
@NTrepanowski
@AnneliseColvin
Just 6 out of 17,799 patients with atopic dermatitis (0.3‰) were visually represented across 60 clinical trials, impacting patient engagement. ❗️A call to action for more inclusive research❗️#dermtwitter @goteborgsuni @KlinvetGu @karolinskainst 👇🏻 doi.org/10.1080/095466…
What stuns me the most about this story is that a dermatologist would biopsy someone 28 times at a SINGLE appointment. That many biospies at a single appointment is shocking!
After her mom died from skin cancer, she went to get checked and was shocked to receive the same diagnosis. today.com/health/womens-…
Increasing melanoma incidence with unchanged mortality: more sunshine, better treatment, increased diagnostic activity, overdiagnosis or lowered diagnostic threshold? academic.oup.com/bjd/article/do…
A nationwide study found that an AI language model outperformed physicians in medical board residency exams across multiple specialties. Learn more in "GPT versus Resident Physicians — A Benchmark Based on Official Board Scores" by @uriel_katz_, et al. nejm.ai/3Q7hB9j
The results have been published in @BrJDermatol: Evaluation of an artificial intelligence-based decision support for the detection of cutaneous melanoma in primary care: a prospective real-life clinical trial. academic.oup.com/bjd/advance-ar… doi: 10.1093/bjd/ljae021
This article looks at correlation between #melanoma incidence and mortality in the context of #Breslow thickness groups and highlight the need for large studies with extended follow-up while considering timing, frequency, and population of screenings. bit.ly/4cjorBN
Bör individualiserad utbildning för läkarstudenter eftersträvas? dlvr.it/T3M78m
This article sought to test #ChatGPT-4's ability to translate dermatopathology results into patient-friendly language. While results were mixed, it could become a useful tool in dermatology, though it should always be reviewed prior to release to patients. bit.ly/49hT1d6
Melanoma is overdiagnosed at ‘alarming’ rates. Here’s what to know. on.natgeo.com/4byIEmU appreciate the write up of our work on this underappreciated problem among dermatologists
New paper out 🥳 In an effort led by @AchimHekler and @RomanMaron, we show that using multiple real-world dermoscopic photographs of one lesion improves #melanoma #classification significantly & recommend use in clinical care @JAADjournals: jaad.org/article/S0190-… @DKFZ
Our new paper is out @ JAMA Dermatology! 🎉 Together with six German University Hospitals, we demonstrated that a #federated #learning approach for decentralized #AI in #Melanoma #Diagnostics is superior to centralized approaches. Enjoy reading: jamanetwork.com/journals/jamad… @DKFZ
Foundation models are well-established in vision and language, but time series forecasting has lagged behind - it still relies on dataset-specific models. Meet Lag-Llama: the first open-source foundation model for time series forecasting!
Dataset work is often undervalued despite being pivotal to the development of AI. That’s why we are excited to share the launch of a Datasets and Benchmarks publication track @theJIDJournal for high quality dermatology datasets!sciencedirect.com/science/authSh…
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Who to follow
-
PeDRAResearch
@PeDRAResearch -
Josh Kotlyar 🇺🇦🎗️
@JoshKotlyar -
Dr. Hannah Kopelman
@drhankopelman -
clinicdermatol
@clinicdermaJour -
Laura I Ortiz-López
@LOrtizMed -
Mohamad Goldust, MD
@MohamadGoldust -
Alexis Arza
@AlexisA417 -
Katie O'Connell, MD
@K8toconnell -
Emilee Herringshaw, MD MBA
@EmileeHerrings1 -
Nicole Trepanowski
@NTrepanowski -
Annelise Colvin, MD
@AnneliseColvin
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