Terry Spitz
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Author Swipe
View article: Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study
Health equity assessment of machine learning performance (HEAL): a framework and dermatology AI model case study Open
Google LLC.
View article: Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings Open
Recently, there has been great progress in the ability of artificial intelligence (AI) algorithms to classify dermatological conditions from clinical photographs. However, little is known about the robustness of these algorithms in real-wo…
View article: MINT: A wrapper to make multi-modal and multi-image AI models interactive
MINT: A wrapper to make multi-modal and multi-image AI models interactive Open
During the diagnostic process, doctors incorporate multimodal information including imaging and the medical history - and similarly medical AI development has increasingly become multimodal. In this paper we tackle a more subtle challenge:…
View article: Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians (CoDoC)
Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians (CoDoC) Open
Diagnostic AI systems trained using deep learning have been shown to achieve expert-level identification of diseases in multiple medical imaging settings1,2. However, such systems are not always reliable and can fail in cases diagnosed acc…
View article: AI system for fetal ultrasound in low-resource settings
AI system for fetal ultrasound in low-resource settings Open
Despite considerable progress in maternal healthcare, maternal and perinatal deaths remain high in low-to-middle income countries. Fetal ultrasound is an important component of antenatal care, but shortage of adequately trained healthcare …