Transforming Otoscopy Using Artificial Intelligence
Author:
Affiliation:
1. Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
Publisher
American Medical Association (AMA)
Link
https://jamanetwork.com/journals/jamapediatrics/articlepdf/2815520/jamapediatrics_salmasian_2024_ed_240002_1711576761.19058.pdf
Reference6 articles.
1. Development and validation of an automated classifier to diagnose acute otitis media in children.;Shaikh;JAMA Pediatr
2. Characteristics of publicly available skin cancer image datasets: a systematic review.;Wen;Lancet Digit Health,2022
3. The unintended consequences of computerized provider order entry: findings from a mixed methods exploration.;Ash;Int J Med Inform,2009
4. Automation bias and verification complexity: a systematic review.;Lyell;J Am Med Inform Assoc,2017
5. US Food and Drug Administration. Artificial intelligence and machine learning (AI/ML)-enabled medical devices. Accessed December 1, 2023. https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-and-machine-learning-aiml-enabled-medical-devices
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