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Showing 1–15 of 15 results

Advanced filters: Author: Veronica Rotemberg Clear advanced filters

A reinforcement learning model for AI-based decision support in skin cancer

A reinforcement learning model developed to adapt artificial intelligence (AI) predictions to human preferences showed better sensitivity for skin cancer diagnoses and improved management decisions compared to a supervised learning model.

Catarina Barata
Veronica Rotemberg
Harald Kittler
ResearchOpen Access27 Jul 2023
Nature Medicine

Volume: 29, P: 1941-1946
BCN20000: Dermoscopic Lesions in the Wild

Carlos Hernández-Pérez
Marc Combalia
Josep Malvehy
ResearchOpen Access17 Jun 2024
Scientific Data

Volume: 11, P: 1-9
Large language models propagate race-based medicine

Jesutofunmi A. Omiye
Jenna C. Lester
Roxana Daneshjou
ResearchOpen Access20 Oct 2023
npj Digital Medicine

Volume: 6, P: 1-4
Author Correction: A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis

Maria Paz Salinas
Javiera Sepúlveda
Cristian Navarrete-Dechent
Amendments and CorrectionsOpen Access24 May 2024
npj Digital Medicine

Volume: 7, P: 1
Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study)

Michael A. Marchetti
Emily A. Cowen
Veronica M. Rotemberg
ResearchOpen Access12 Jul 2023
npj Digital Medicine

Volume: 6, P: 1-11
Activating mutations in CSF1R and additional receptor tyrosine kinases in histiocytic neoplasms

Inhibition of CSF-1R with recurrent activating alterations and other actionable targets identified by genomic sequencing elicits clinical activity in patients with histiocytosis.

Benjamin H. Durham
Estibaliz Lopez Rodrigo
Omar Abdel-Wahab
Research25 Nov 2019
Nature Medicine

Volume: 25, P: 1839-1842
In vivo optical imaging-guided targeted sampling for precise diagnosis and molecular pathology

Aditi Sahu
Yuna Oh
Milind Rajadhyaksha
ResearchOpen Access30 Nov 2021
Scientific Reports

Volume: 11, P: 1-9
The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection

Nicholas R. Kurtansky
Brian M. D’Alessandro
Veronica Rotemberg
ResearchOpen Access14 Aug 2024
Scientific Data

Volume: 11, P: 1-11
CSF1R inhibition for histiocytic neoplasm with CBL mutations refractory to MEK1/2 inhibition

Eli L. Diamond
Jasmine H. Francis
Benjamin H. Durham
ResearchOpen Access24 Jun 2023
Leukemia

Volume: 37, P: 1737-1740
A patient-centric dataset of images and metadata for identifying melanomas using clinical context

Veronica Rotemberg
Nicholas Kurtansky
H. Peter Soyer
ResearchOpen Access28 Jan 2021
Scientific Data

Volume: 8, P: 1-8
Publisher Correction: Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context

Veronica Rotemberg
Nicholas Kurtansky
H. Peter Soyer
Amendments and CorrectionsOpen Access16 Mar 2021
Scientific Data

Volume: 8, P: 1
Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context

Veronica Rotemberg
Nicholas Kurtansky
H. Peter Soyer
Amendments and CorrectionsOpen Access05 Mar 2021
Scientific Data

Volume: 8, P: 1
A survey of skin tone assessment in prospective research

Vanessa R. Weir
Katelyn Dempsey
An-Kwok Ian Wong
ReviewsOpen Access17 Jul 2024
npj Digital Medicine

Volume: 7, P: 1-9
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning

Girmaw Abebe Tadesse
Celia Cintas
Roxana Daneshjou
ResearchOpen Access18 Aug 2023
npj Digital Medicine

Volume: 6, P: 1-10
A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis

Maria Paz Salinas
Javiera Sepúlveda
Cristian Navarrete-Dechent
ReviewsOpen Access14 May 2024
npj Digital Medicine

Volume: 7, P: 1-23

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A reinforcement learning model for AI-based decision support in skin cancer

BCN20000: Dermoscopic Lesions in the Wild

Large language models propagate race-based medicine

Author Correction: A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis

Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study)

Activating mutations in CSF1R and additional receptor tyrosine kinases in histiocytic neoplasms

In vivo optical imaging-guided targeted sampling for precise diagnosis and molecular pathology

The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection

CSF1R inhibition for histiocytic neoplasm with CBL mutations refractory to MEK1/2 inhibition

A patient-centric dataset of images and metadata for identifying melanomas using clinical context

Publisher Correction: Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context

Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context

A survey of skin tone assessment in prospective research

Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning

A systematic review and meta-analysis of artificial intelligence versus clinicians for skin cancer diagnosis

Search

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