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Artificial Intelligence Achieves Dermatologist-Level Skin Cancer Classification

Posted on January 27, 2017 by

A team of researchers from the Stanford’s Artificial Intelligence Laboratory employed a deep learning algorithm developed by Google (GoogleNet Inception v3 CNN architecture) to create an automated system for the classification of skin cancer. The algorithm that was already able to recognise objects from 1.28 million images, was trained using nearly 130,000 clinical images of more than 2,000 diseases. In a paper published on Nature, the researchers described how they employed over 370 biopsy-confirmed images to assess the artificial intelligence performance against 21 board-certified dermatologists. Notably, the algorithm matched the sensitivity and specificity of the experts’ opinion in classifying correctly keratinocyte carcinomas, melanomas classification and benign lesions. The new system paves the way of accessible and cost-effective applications that will enable recognition of skin lesions with the use of such devices as smartphones.

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Image Credit: Stanford/Matt Young

Posted in Clinical Highlights artificial intelligence, dermatology, melanomas, mHealth, research, skin cancer

The role of infection in the Alzheimer’s disease causation

Posted on April 13, 2016 by

Thirty-three researchers and clinicians point out the potential link of infection to Alzheimer’s disease (AD) in a recently published editorial. They refer to the “many studies, mainly on humans, implicating specific microbes in the elderly brain, notably herpes simplex virus type 1, Chlamydia pneumoniae, and several types of spirochaete, in the etiology of AD.” Despite the wide breadth of supportive evidence, the authors say that topic is often dismissed as controversial, and urge further research on the link of infectious agents to AD including trials of antimicrobial therapy.

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Posted in Clinical Highlights alzheimer's disease, antibiotics, infection, research

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