AIMC Topic: Mpox, Monkeypox

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CFI-Net: A Choquet Fuzzy Integral Based Ensemble Network With PSO-Optimized Fuzzy Measures for Diagnosing Multiple Skin Diseases Including Mpox.

IEEE journal of biomedical and health informatics
In the domain of medical diagnostics, precise identification of various skin and oral diseases is vital for effective patient care. In particular, Mpox is a potentially dangerous viral disease with zoonotic origins, capable of human-to-human transmis...

MpoxNet: dual-branch deep residual squeeze and excitation monkeypox classification network with attention mechanism.

Frontiers in cellular and infection microbiology
While the world struggles to recover from the devastation wrought by the widespread spread of COVID-19, monkeypox virus has emerged as a new global pandemic threat. In this paper, a high precision and lightweight classification network MpoxNet based ...

Machine learning in epidemiology: Neural networks forecasting of monkeypox cases.

PloS one
This study integrates advanced machine learning techniques, namely Artificial Neural Networks, Long Short-Term Memory, and Gated Recurrent Unit models, to forecast monkeypox outbreaks in Canada, Spain, the USA, and Portugal. The research focuses on t...

Cases of Monkeypox show highly-overlapping co-infection with HIV and syphilis.

Frontiers in public health
PURPOSE: Ongoing Monkeypox (MPX) outbreaks in countries outside Africa have unique characteristics. However, data on cohorts of confirmed cases in China is limited. The study provides important epidemiological, diagnostic, and clinical information ab...

Mpox (formerly monkeypox): pathogenesis, prevention, and treatment.

Signal transduction and targeted therapy
In 2022, a global outbreak of Mpox (formerly monkeypox) occurred in various countries across Europe and America and rapidly spread to more than 100 countries and regions. The World Health Organization declared the outbreak to be a public health emerg...

Hyper-parameter tuned deep learning approach for effective human monkeypox disease detection.

Scientific reports
Human monkeypox is a very unusual virus that can devastate society. Early identification and diagnosis are essential to treat and manage an illness effectively. Human monkeypox disease detection using deep learning models has attracted increasing att...

Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning.

Journal of medical Internet research
BACKGROUND: Shortly after the worst of the COVID-19 pandemic, an outbreak of mpox introduced another critical public health emergency. Like the COVID-19 pandemic, the mpox outbreak was characterized by a rising prevalence of public health misinformat...

Talk with ChatGPT About the Outbreak of Mpox in 2022: Reflections and Suggestions from AI Dimensions.

Annals of biomedical engineering
In the era of big data, generative artificial intelligence (AI) models are currently in a boom. The Chatbot Generative Pre-trained Transformer (ChatGPT), a large language model (LLM) developed by OpenAI (San Francisco, CA), is a type of AI software t...

A deep-learning algorithm to classify skin lesions from mpox virus infection.

Nature medicine
Undetected infection and delayed isolation of infected individuals are key factors driving the monkeypox virus (now termed mpox virus or MPXV) outbreak. To enable earlier detection of MPXV infection, we developed an image-based deep convolutional neu...

Automated Monkeypox Skin Lesion Detection Using Deep Learning and Transfer Learning Techniques.

International journal of environmental research and public health
The current outbreak of monkeypox (mpox) has become a major public health concern because of the quick spread of this disease across multiple countries. Early detection and diagnosis of mpox is crucial for effective treatment and management. Consider...