Veronica Rotemberg, MD PhD

72 posts

Veronica Rotemberg, MD PhD

Veronica Rotemberg, MD PhD

@Dr_vron

Dermatologist and Imaging Informaticist @MSKCancerCenter, Board of Directors @SIIM_tweets, 🇦🇷🦇 ⚽ fan, formerly @dukebme and #columbiaderm, views my own

Katılım Temmuz 2023
186 Takip Edilen186 Takipçiler
Veronica Rotemberg, MD PhD retweetledi
Allison Betof, MD, PhD
Allison Betof, MD, PhD@DrBetofMDPhD·
Brilliant talk by @Dr_vron on #SMR24 on artificial and augmented intelligence in the detection of melanoma. Her key points to improve: larger/broader data sets, real world human-AI collaboration studies, integrating series of data over time as we do in the clinic. @SocietyMelanoma @MSKCancerCenter
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Veronica Rotemberg, MD PhD retweetledi
npj Digital Medicine
npj Digital Medicine@npjDigitalMed·
Thank you for the shoutout, Dr. Meskó! ICYMI, we published a synthesis of 141 binding policies applicable to AI in healthcare and population health in the EU and 10 European countries: nature.com/articles/s4174…
Berci Meskó, MD, PhD@Berci

Finally, there is a great summary of how the European Union regulates medical/healthcare AI. Kudos to the authors! They analyzed 141 binding policies in the EU and 10 European countries.

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Veronica Rotemberg, MD PhD
@SciencePartisan @littmath I was able to do it with regular magna tiles - strategy was to get all 20 attached to each other with the 5 pieces at each corner but not the correct angles and kind of bend them together gently at the end. It was fun!
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Veronica Rotemberg, MD PhD
@predict_addict @kaggle @ISICArchive Would love to hear more about your thoughts - no matter what, these models need to be prospectively tested in their intended use setting, and the calibration measured in that context. In that sense, the pAUC shouldn't create any difference in risk from any other metrics.
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Valeriy M., PhD, MBA, CQF
Valeriy M., PhD, MBA, CQF@predict_addict·
@kaggle @Dr_vron @ISICArchive Interesting choice with pAUC as the metric. It's not a proper scoring rule, which means the models aren't incentivized to produce calibrated probabilities—potentially putting patient health at risk.
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Kaggle
Kaggle@kaggle·
📣 Competition Launch Alert! ISIC 2024 - Skin Cancer Detection with 3D-TBP hosted by ISIC. 🎯 Develop image algorithms to identify skin cancer from 3D TBP. 💰 $80,000 Prize Pool ⏰ Entry Deadline: August 30, 2024 🙏 @dr_vron and @ISICArchive kaggle.com/competitions/i…
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Veronica Rotemberg, MD PhD
This is great. While this is specifically about students, I find microaggressions often happen with other members of the care team, and it's very helpful in the 1:1 debrief to also work on identifying preferences for future situations.
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Veronica Rotemberg, MD PhD retweetledi
The Athletic
The Athletic@TheAthletic·
The USA women's rugby sevens team takes home bronze🥉 It's the first medal for @USARugby at the #Olympics .
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Veronica Rotemberg, MD PhD retweetledi
Lakyn Thee Stylist
Lakyn Thee Stylist@OgLakyn·
I'm shopping for a sunhat, and it should go without saying, but, I MUST emphasize: do NOT buy a something meant to protect you from the sun/heat/sweating made out of polyester, lol. I am not anti-polyester. But I am when it comes to that. You might as well wear a plastic bag.
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npj Digital Medicine
npj Digital Medicine@npjDigitalMed·
Just in! Weir et al. propose considerations that researchers must take in order to improve device robustness to skin tone bias. Scan the QR code below or follow the link to learn more! nature.com/articles/s4174…
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Veronica Rotemberg, MD PhD
There is so much work to do to evaluate the potential for bias in medical technologies and I'm so grateful for the amazing collaborators and our patients who participate in this research as we are trying to do better.
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Veronica Rotemberg, MD PhD
Excited to share the results of a fun multidisciplinary collaboration! We know that skin tone measurement is important to evaluate technologies across domains - and we just published the results of a review of those methods! nature.com/articles/s4174…
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Veronica Rotemberg, MD PhD
Yes. I understand that it can be very challenging to evaluate AI and especially LLMs, but our priority is protection of patients and improvement of health. If we can't figure out whether something will help patients, and it has a large potential for harm, we should not use it.
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