Text2Knowledge — fast and accurate open information extraction tool with built-in named entity recognition. In other words, it’s an AI-based tool that can automatically read a huge amount of texts and return key annotated information extracted from it. You can access it here. Our tool is built for analytics and…

Virus transmission from asymptomatic or pre-symptomatic individuals is a key factor contributing to the SARS-CoV-2 pandemic spread. High levels of the SARS-CoV-2 virus have been observed 48–72 hours before symptom onset. D’Haese et al. describe their strategy using an AI model that can predict, with 82% accuracy (negative predictive value 97%…

Body composition imaging relies on assessment of tissues composition and distribution. Quantitative data of body composition have been linked to pathogenesis and clinical outcomes of a wide spectrum of diseases, including oncological and cardiovascular. Obesity classification is based on body mass index (BMI) which has the shortcoming not to provide…

In pandemic situations like COVID 19, real time monitoring of patient condition and continuous delivery of inspired oxygen can be made possible only through artificial intelligence-based system modeling. Shortness of breath is one of the serious symptoms of Corona and hence people suffering from COVID-19, who develop acute respiratory distress…

Thyroid cancers (TC) have increasingly been detected following advances in diagnostic methods. Risk stratification guided by refined information becomes a crucial step toward the goal of personalized medicine. The diagnosis of TC mainly relies on imaging analysis, but visual examination may not reveal much information and not enable comprehensive analysis. …

Myocardial infarction (MI) is a major global health care burden, with an estimated 7.29 million MIs and 110.55 million prevalent cases of ischemic heart disease (IHD) annually. There are an estimated 8.92 million deaths due to IHD annually, making IHD the leading cause of death worldwide. Rapid diagnosis of myocardial…

In-hospital cardiac arrest is a major burden in health care. Although several track-and-trigger systems are used to predict cardiac arrest, they often have unsatisfactory performances. Kwon et al. used 32,294 ECGs of 10,461 patients and 4483 ECGs of 4483 patients from a hospital were used as development and internal…

Approximately 50% of women and 20% of men over the age of 50 will suffer from a fragility fracture in their remaining lifetime. Hip fracture is one of the most serious and debilitating outcomes of osteoporosis, with a 14–36% mortality rate during the first year post-fracture. The World Health Organization…

Predicting potentially dangerous chemical reactions is a critical task for laboratory safety. Several machine learning models have been developed which allow the prediction of major chemical reaction products with reasonable accuracy. However, these methods may not present sufficiently high accuracy for the prediction of hazardous products which particularly requires a…