From Promise to Practice: Leveraging Artificial Intelligence to Accelerate Equitable Access to Cancer Screening

This publication has 19 references indexed in Scilit:

• Climate change and health: the next challenge of ethical AI
  The Lancet Global Health, 2025
• Validation of a Dynamic Risk Prediction Model Incorporating Prior Mammograms in a Diverse Population
  JAMA Network Open, 2025
• Social Risks and Nonadherence to Recommended Cancer Screening Among US Adults
  JAMA Network Open, 2025
• Leveraging natural language processing to identify eligible lung cancer screening patients with the electronic health record
  International Journal of Medical Informatics, 2023
• Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis
  Gastrointestinal Endoscopy, 2021
• Accuracy and Efficiency of Deep-Learning–Based Automation of Dual Stain Cytology in Cervical Cancer Screening
  JNCI: Journal of the National Cancer Institute, 2020
• Dissecting racial bias in an algorithm used to manage the health of populations
  Science, 2019
• An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening
  JNCI: Journal of the National Cancer Institute, 2019
• Machine Learning and Health Care Disparities in Dermatology
  JAMA Dermatology, 2018
• The Harms of Screening
  JAMA Internal Medicine, 2014