Leprosy Screening Based on Artificial Intelligence: Development of a Cross-Platform App.

Márcio Luís Moreira De Souza Gabriel Ayres Lopes Alexandre Castelo Branco Jessica K Fairley Lucia Alves de Oliveira Fraga

Published in: JMIR mHealth and uHealth (2021)

The proposed app was able to recognize patterns in leprosy cases registered in the SINAN database and to classify new patients with paucibacillary or multibacillary leprosy, thereby reducing the probability of incorrect assignment by health centers. The collection and notification of data on leprosy in Brazil seem to lack specific validation to increase the quality of the data for implementations via AI. The AI models implemented in this work had satisfactory accuracy across Brazilian states and could be a complementary diagnosis tool, especially in remote areas with few specialist physicians.

Keyphrases

artificial intelligence
big data
machine learning
deep learning
electronic health record
healthcare
public health
primary care
palliative care
emergency department
health information
high throughput
data analysis
adverse drug
social media
risk assessment
quality improvement
single cell