AIMC Topic: Brazil

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Surgeon experience, robotic perioperative outcomes, and complications in gynecology.

Revista da Associacao Medica Brasileira (1992)
OBJECTIVE: Robotic surgery is currently on the rise and has been widely applied all over the world. Gynecology offers great opportunities for the development of innovative techniques due to the magnitude of surgical needs. The aim of this study was t...

Statistical evaluation of testing conditions on the saturated hydraulic conductivity of Brazilian lateritic soils using artificial intelligence approaches.

Scientific reports
The saturated hydraulic conductivity, k, is a crucial variable to describe the hydromechanical behavior of soils. The value of k of lateritic soils that are typically found in tropical regions is highly affected by the soil's structure, void ratio, a...

Contrast phase recognition in liver computer tomography using deep learning.

Scientific reports
Hepatocellular carcinoma (HCC) has become the 4th leading cause of cancer-related deaths, with high social, economical and health implications. Imaging techniques such as multiphase computed tomography (CT) have been successfully used for diagnosis o...

Forecasting Weekly Dengue Cases by Integrating Google Earth Engine-Based Risk Predictor Generation and Google Colab-Based Deep Learning Modeling in Fortaleza and the Federal District, Brazil.

International journal of environmental research and public health
Efficient and accurate dengue risk prediction is an important basis for dengue prevention and control, which faces challenges, such as downloading and processing multi-source data to generate risk predictors and consuming significant time and computa...

Translation into portuguese of a set of questionnaires designed to evaluate the impact of using a telepresence robot during postoperative ward rounds.

Revista do Colegio Brasileiro de Cirurgioes
INTRODUCTION: the use of telepresence grows with the advancement of technology integration into medical practice. Regarding surgery, effective distance communication can translate into better perioperative care. Though, the patients' perception about...

The regulation of artificial intelligence for health in Brazil begins with the General Personal Data Protection Law.

Revista de saude publica
Artificial intelligence develops rapidly and health is one of the areas where new technologies in this field are most promising. The use of artificial intelligence can modify the way health care and self-care are provided, besides influencing the org...

BRAX, Brazilian labeled chest x-ray dataset.

Scientific data
Chest radiographs allow for the meticulous examination of a patient's chest but demands specialized training for proper interpretation. Automated analysis of medical imaging has become increasingly accessible with the advent of machine learning (ML) ...

Prediction of malaria using deep learning models: A case study on city clusters in the state of Amazonas, Brazil, from 2003 to 2018.

Revista da Sociedade Brasileira de Medicina Tropical
BACKGROUND: Malaria is curable. Nonetheless, over 229 million cases of malaria were recorded in 2019, along with 409,000 deaths. Although over 42 million Brazilians are at risk of contracting malaria, 99% percent of all malaria cases in Brazil are lo...

Using deep learning to predict outcomes of legal appeals better than human experts: A study with data from Brazilian federal courts.

PloS one
Legal scholars have been trying to predict the outcomes of trials for a long time. In recent years, researchers have been harnessing advancements in machine learning to predict the behavior of natural and social processes. At the same time, the Brazi...

The Executive Branch decisions in Brazil: A study of administrative decrees through machine learning and network analysis.

PloS one
This paper dissects the potential of state-of-the-art computational analysis to promote the investigation of government's administrative decisions and politics. The Executive Branch generates massive amounts of textual data comprising daily decisions...