Dermatologist-level classification of skin cancer with deep neural networks

The goal of my app is to educate patients so that they recognise that they need to take further action. Regarding AI-assisted skin cancer diagnosis: This is a huge area that started with the publication of Esteva et al (https://www.nature.com/articles/nature21056) and there have been hundreds of publications since. There are large publicly available datasets that anyone can work with (https://challenge.isic-archive.com/). My lab has previously trained / evaluated convnets for diagnosis of skin cancer e.g. see this publication: https://pubmed.ncbi.nlm.nih.gov/32931808/ I have no doubt that it will be possible to train an AI model to perform at the same level as a…

Machine learning has been used for more than two decades in ATMs to perform optical character recognitions for automatic processing of checks [1]. I believe it is used by the post office as well. It is used by PayPal and other financial services companies for the purposes of fraud detection [2]. It is widely used to filter spam emails as well [3]. It is also widely used in recommender systems, starting with Netflix movie recommendations [4]. While currently more academic, it also has tremendous promise in healthcare diagnostic tasks [5,6]. It has also been used in economics applications such as measuring the global impact of fishing [7] and in poverty prediction in third…