Latest AI and machine learning research in menopause for healthcare professionals.
BACKGROUND: Osteoporosis is a gradually recognized health problem with risks related to disease hist...
BACKGROUND: Non-small cell lung cancer (NSCLC) is the most common tumor entity spreading to the brai...
BACKGROUND CONTEXT: Robot-assisted spine surgery continues to rapidly develop as evidenced by the gr...
Thyroid cancer (TC) is the most common endocrine malignancy. Most TCs have a favorable prognosis, wh...
UNLABELLED: The aim of this study was to compare the antioxidant potential of the yogurt and kefir p...
Conventional respiration measurement requires a separate device and/or can cause discomfort, so it i...
Non-Markovian models of stochastic biochemical kinetics often incorporate explicit time delays to ef...
Convolutional neural networks have established themselves over the past years as the state of the ar...
The unique physical embodiment of robots enables physical contact between machines and humans. Since...
PURPOSE: Fractures in vertebral bodies are among the most common complications of osteoporosis and o...
Contamination is a critical issue that affects food consumption adversely. Therefore, efficient dete...
Autism is a neurodevelopmental disorder that affects the everyday life of people who have this lifel...
Common lung diseases are first diagnosed using chest X-rays. Here, we show that a fully automated de...
Accurate prediction of binding affinity between protein and ligand is a very important step in the f...
Sensor technologies and data collection practices are changing and improving quality metrics across...
To evaluate the performance of the classic machine learning algorithms and the effectiveness of vari...
PURPOSE: To determine classification criteria for intermediate uveitis, non-pars planitis type (IU-N...
Evidence has accumulated enough to prove non-coding RNAs (ncRNAs) play important roles in cellular b...
Brain extraction (a.k.a. skull stripping) is a fundamental step in the neuroimaging pipeline as it c...
Consumption of copper and aluminum has increased significantly in recent years; therefore, recycling...
PURPOSE: To explore a new approach mainly based on deep learning residual network (ResNet) to detect...