What We Do
Stanford TRAIND works to advance the clinician-driven and patient-centered development of augmented intelligence AuI in dermatology by bringing together the expertise, capabilities and partners to achieve the promise of “bytes to bedside, pixels to practice”. We believe in the potential of this approach to promote fair, equitable and unbiased augmented intelligence in enhancing the quality and experience of patient care, facilitating access, reducing health disparity and inequity, improving population health, reducing overall costs, enhancing workflow efficiencies and supporting professional fulfillment for physicians and care teams.
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Media
Dr. Murali discusses the potential roles of AI in health as part of a student-driven project in Portola High School, focusing on the impact of emerging technologies.
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Machine Learning
Google Launches a New Medical App — Outside the US
Most dermatology algorithms don’t have transparent data
AI has potential to improve melanoma detection
TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos
Dermatologist-level classification of skin cancer with deep neural networks
Automated Classification of Skin Lesions: From Pixels to Practice
Diagnostics