Publications by authors named "R Loureiro"

Chronic pain (CP), including pain related to cancer, affects approximately 2 billion people worldwide, significantly diminishing quality of life and imposing socio-economic burdens. Current treatments often provide limited relief and may cause adverse effects, demanding more effective alternatives. Natural compounds from L.

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Article Synopsis
  • Zoonotic sporotrichosis, primarily transmitted by cats, has become highly prevalent in Rio de Janeiro, with a study focusing on 43 non-zoonotic cases revealing important epidemiological and clinical data.
  • The majority of patients were male and common sources of infection included injuries from plants and soil contact, with a specific fungal species being predominantly responsible for the infections.
  • Antifungal susceptibility tests showed some strains resistant to treatment, highlighting the need for ongoing monitoring of antifungal resistance and further investigation into the environmental factors contributing to sporotrichosis.
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This paper outlines the protocol for the deployment of a cloud-based universal medical image repository system. The proposal aims not only at the deployment but also at the automatic expansion of the platform, incorporating Artificial Intelligence (AI) for the analysis of medical image examinations. The methodology encompasses efficient data management through a universal database, along with the deployment of various AI models designed to assist in diagnostic decision-making.

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This paper presents an artificial intelligence-based classification model for the detection of pulmonary embolism in computed tomography angiography. The proposed model, developed from public data and validated on a large dataset from a tertiary hospital, uses a two-dimensional approach that integrates temporal series to classify each slice of the examination and make predictions at both slice and examination levels. The training process consists of two stages: first using a convolutional neural network InceptionResNet V2 and then a recurrent neural network long short-term memory model.

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