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JAMA Dermatology
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December 1, 2021
Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group
Roxana Daneshjou, Catarina Barata, Brigid Betz-Stablein, et al.
Arxiv
|
April 10, 2023
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations
David A Clunie, Adam Flanders, Adam Taylor, et al.
Journal of Neuroradiology = Journal De Neuroradiologie
|
July 7, 2014
Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients
Manal Nicolasjilwan, Ying Hu, Chunhua Yan, et al.
Scientific Data
|
January 29, 2021
A patient-centric dataset of images and metadata for identifying melanomas using clinical context
Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
Scientific Data
|
March 6, 2021
Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context
Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
Scientific Data
|
March 17, 2021
Publisher Correction: Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context
Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
Frontiers in Systems Neuroscience
|
February 6, 2013
Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data
Damien A Fair, Joel T Nigg, Swathi Iyer, et al.
The Lancet. Oncology
|
June 16, 2019
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
Philipp Tschandl, Noel Codella, Bengü Nisa Akay, et al.
Medrxiv : the Preprint Server for Health Sciences
|
November 1, 2024
A new AI-assisted data standard accelerates interoperability in biomedical research
Rodney Alan Long, Shannon Ballard, Syed Shah, et al.
NPJ Digital Medicine
|
June 12, 2026
A new AI assisted approach aligns data standards and accelerates interoperability in biomedical research
Rodney Alan Long, Shannon Ballard, Syed Shah, et al.
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Search research articles
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Showing results (41-50 of 51) with videos related to
Sort By:
Page
of 6
JAMA Dermatology
|
December 1, 2021
Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group
Roxana Daneshjou, Catarina Barata, Brigid Betz-Stablein, et al.
Arxiv
|
April 10, 2023
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations
David A Clunie, Adam Flanders, Adam Taylor, et al.
Journal of Neuroradiology = Journal De Neuroradiologie
|
July 7, 2014
Addition of MR imaging features and genetic biomarkers strengthens glioblastoma survival prediction in TCGA patients
Manal Nicolasjilwan, Ying Hu, Chunhua Yan, et al.
Scientific Data
|
January 29, 2021
A patient-centric dataset of images and metadata for identifying melanomas using clinical context
Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
Scientific Data
|
March 6, 2021
Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context
Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
Scientific Data
|
March 17, 2021
Publisher Correction: Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context
Veronica Rotemberg, Nicholas Kurtansky, Brigid Betz-Stablein, et al.
Frontiers in Systems Neuroscience
|
February 6, 2013
Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data
Damien A Fair, Joel T Nigg, Swathi Iyer, et al.
The Lancet. Oncology
|
June 16, 2019
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
Philipp Tschandl, Noel Codella, Bengü Nisa Akay, et al.
Medrxiv : the Preprint Server for Health Sciences
|
November 1, 2024
A new AI-assisted data standard accelerates interoperability in biomedical research
Rodney Alan Long, Shannon Ballard, Syed Shah, et al.
NPJ Digital Medicine
|
June 12, 2026
A new AI assisted approach aligns data standards and accelerates interoperability in biomedical research
Rodney Alan Long, Shannon Ballard, Syed Shah, et al.
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of 6