Latest AI and machine learning research in infectious disease for healthcare professionals.
The processing mechanism of the human brain for speech information is a significant source of inspiration for the study of speech enhancement technology. Attention and lateral inhibition are key mechanisms in auditory information processing that can selectively enhance specific information. Building on this, the study introduces a dual-branch U-Net that integrates lateral inhibition and feedback-d...
Lung cancer is the second most common cancer and the leading cause of cancer-related deaths worldwide. Survival largely depends on tumor stage at diagnosis, and early detection with low-dose CT can significantly reduce mortality in high-risk patients. AI can improve the detection, measurement, and characterization of pulmonary nodules while reducing assessment time. However, the training data, f...
Sepsis is a major cause of ICU mortality, where early recognition and effective interventions are essential for improving patient outcomes. However,...
In low-income and resource-limited countries, distinguishing COVID-19 from other respiratory diseases is challenging due to similar symptoms and the p...
The COVID-19 pandemic strained healthcare resources and prompted discussion about how machine learning can alleviate physician burdens and contribut...
Bayesian phylogenetics requires accurate and efficient approximation of posterior distributions over trees. In this work, we develop a variational B...
According to the World Health Organization, over 466 million people worldwide suffer from disabling hearing loss, with approximately 34 million of t...
This paper analyzes the scientific production on the COVID-19 effect in the area of Information Sciences from a bibliometric perspective. The object...
Variational inequalities play a pivotal role in a wide array of scientific and engineering applications. This project presents two techniques for ad...
Antibiotic Resistance (AR) is a critical global health challenge that necessitates the development of cost-effective, efficient, and accurate diagno...
The task of automatically coding the International Classification of Diseases (ICD) in the medical field has been well-established and has received ...
At the end of 2019, an outbreak of a novel coronavirus was reported in China, leading to the COVID-19 pandemic. In Spain, the first cases were detec...
Urinary tract infections (UTIs) are a significant health concern, particularly for people living with dementia (PLWD), as they can lead to severe co...
Predicting medical events in advance within critical care settings is paramount for patient outcomes and resource management. Utilizing predictive m...
Encoding implicit language presents a challenge for language models, especially in high-risk domains where maintaining high precision is important. ...
Due to the rise in antimicrobial resistance, identifying novel compounds with antibiotic potential is crucial for combatting this global health issu...
Pulmonary Tuberculosis (PTB) remains a major challenge for global health, especially in areas with poor medical resources, where access to specializ...
The prevalence of hearing aids is increasing. However, optimizing the amplification processes of hearing aids remains challenging due to the complex...
We address the challenge of developing a generalizable neural tracking controller for dexterous manipulation from human references. This controller ...
Although the SARS-CoV-2 infection has established risk groups, identifying biomarkers for disease outcomes is still crucial to stratify patient risk a...