Latest AI and machine learning research in preventive care for healthcare professionals.
Due to the COVID-19 pandemic, vaccine development and community vaccination studies are carried out all over the world. At this stage, the opposition to the vaccine seen in the society or the lack of trust in the developed vaccine is an important factor hampering vaccination activities. In this study, aspect-base sentiment analysis was conducted for USA, U.K., Canada, Turkey, France, Germany, Spai...
Blood-brain-barrier permeability (BBBP) is an important property that is used to establish the drug-likeness of a molecule, as it establishes whether ...
BACKGROUND: Effective screening is important to combat the raising burden of depression and opens a critical time window for early intervention. Clini...
Personalized modeling has long been anticipated to approach precise noninvasive blood glucose measurements, but challenged by limited data for trainin...
Colorectal Cancer (CRC) is the third most dangerous cancer in the world and also increasing day by day. So, timely and accurate diagnosis is required ...
BACKGROUND: Artificial intelligence (AI) tools increase detection of precancerous polyps during colonoscopy and might contribute to long-term colorect...
BACKGROUND: Artificial intelligence using computer-aided diagnosis (CADx) in real time with images acquired during colonoscopy may help colonoscopists...
Machine learning and deep learning methods have become essential for computer-assisted prediction in medicine, with a growing number of applications a...
OBJECTIVE.: To determine the titer of antibodies against the receptor binding domain (RBD) of the spike protein (S) in health personnel between the 4t...
Deep learning algorithms and artificial intelligence (AI) are making great progress in their capacity to evaluate and interpret image data recent adva...
Retinal fundus photographs can be used to detect a range of retinal conditions. Here we show that deep-learning models trained instead on external pho...
Background Artificial intelligence (AI) has shown promising results for cancer detection with mammographic screening. However, evidence related to the...
The objective of this study was to evaluate the application value of "Internet + hospital-to-home (H2H)" nutritional care model using the improved wav...
Peptides comprise a versatile class of biomolecules that present a unique chemical space with diverse physicochemical and structural properties. Some ...
Chest radiographies, or chest X-rays, are the most standard imaging exams used in daily hospitals. Responsible for assisting in detecting numerous pat...
Neonatology has experienced a significant reduction in mortality rates of the preterm population and critically ill infants over the last few decades....
The development of a new vaccine is a challenging exercise involving several steps including computational studies, experimental work, and animal stud...
Artificial intelligence (AI) is widely used to analyze gastrointestinal (GI) endoscopy image data. AI has led to several clinically approved algorithm...
Conversational artificial intelligence involves the ability of computers, voice-enabled devices to interact intelligently with the user through voice....