Latest AI and machine learning research in pneumonia for healthcare professionals.
Although predictive algorithms have been described as the definitive solution to bias in health care...
Since the coronavirus pandemic, mRNA vaccines have revolutionized the field of vaccinology. Lipid na...
Background : Severe respiratory syncytial virus (RSV) pneumonia is a leading cause of hospitalizatio...
We aimed to evaluate the ability of deep learning (DL) models to identify patients from a paired che...
BACKGROUND: Despite the availability of tetanus-diphtheria (TD) vaccines in Iran, the seroconversion...
OBJECTIVE: As new knowledge is produced at a rapid pace in the biomedical field, existing biomedical...
High-resolution computed tomography (HRCT) is important for diagnosing interstitial lung disease (IL...
Complicated grief is both a cause and a consequence of health inequities in Native (American Indian/...
Viruses of bacteria, "phages," are fundamental, poorly understood components of microbial community ...
This work proposes a novel technique called Enhanced JAYA (EJAYA) assisted Q-Learning for the classi...
The use of artificial intelligence (AI) in high-resolution computed tomography (HRCT) for diagnosing...
OBJECTIVE: This study aims to review the recent advances in community challenges for biomedical text...
The coronavirus disease 2019 (COVID-19) pandemic has highlighted the need for accurate and efficien...
COVID-19 has resulted in a significant global impact on health, the economy, education, and daily li...
BACKGROUND AND OBJECTIVES: Severe pneumonia is the leading cause of death among young children world...
BACKGROUND: Uttar Pradesh (UP), the most populous state in India, has about 36 million people aged 5...
This study evaluated the positive predictive value (PPV) of artificial intelligence (AI) in detectin...
BACKGROUND: There is no doubt that vaccination is crucial for preventing the spread of diseases; how...
BACKGROUND: Chatbots can provide immediate assistance tailored to patients' needs, making them suita...
In this study, we present a method based on Monte Carlo Dropout (MCD) as Bayesian neural network (BN...
Coastal marine areas are frequently affected by human activities and face ecological and environment...