Roxana Daneshjou
0000-0001-7988-9356
70 papers found
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How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals
Clinical photography in skin of colour: tips and best practices
Diversity, Race, and Health
How to evaluate deep learning for cancer diagnostics – factors and recommendations
Computational Challenges and Artificial Intelligence in Precision Medicine
TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos
Social Media: A New Tool for Scientific Engagement
Pernio-like eruption associated with COVID-19 in Skin of Color
Increasing the visibility of dermatologic research contributions by women and underrepresented minorities
Twitter Journal Clubs
Genome-wide meta-analysis identifies eight new susceptibility loci for cutaneous squamous cell carcinoma
Session Intro: ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE.
Artificial Intelligence for Enhancing Clinical Medicine
Predicting venous thromboembolism risk from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges
Pharmacogenomics in dermatology: tools for understanding gene-drug associations
Pharmacogenomics and big genomic data: from lab to clinic and back again
Cohort-specific imputation of gene expression improves prediction of warfarin dose for African Americans
Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges
Population-specific imputation of gene expression improves prediction of pharmacogenomic traits for African Americans
Population-specific single-nucleotide polymorphism confers increased risk of venous thromboembolism in African Americans
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