Neil J Joshi

Title: Neil J. Joshi and Deep Learning for Lyme Disease Diagnosis.

Introduction

Neil J. Joshi is an inventor associated with Johns Hopkins University in Laurel, Maryland. His patent work describes using deep learning to help diagnose Lyme disease from photographs of skin lesions.

Latest Patents

Joshi is associated with 1 patent, titled “Deep Learning Lyme Disease Diagnosis.” The invention presents techniques that provide a digital photograph of a skin lesion to a deep-learning convolutional neural network, which returns a diagnosis. The network may be trained on annotated images representing Lyme disease, normal skin, and other types of skin lesions. The training images may include photographs publicly available on the internet.

Career Highlights

The patent reflects an application of artificial intelligence to medical image analysis. It describes a process in which a photograph is submitted to the trained model and the resulting diagnosis is output.

Collaborations

Joshi’s listed institutional affiliation is Johns Hopkins University. His listed coworker is John N. Aucott.

Conclusion

Neil J. Joshi’s patent describes a deep-learning approach to assessing skin-lesion photographs for Lyme disease, connecting medical image analysis with diagnostic technology.