Latest AI and machine learning research in menopause for healthcare professionals.
We trained and validated a deep learning model that can predict the treatment response to neoadjuvan...
Non-contact methods for monitoring respiration face limitations when it comes to selecting the chest...
The inductive tongue-computer interface allows individuals with tetraplegia to control assistive dev...
Biomedical data analysis is essential in current diagnosis, treatment, and patient condition monitor...
In this paper, the analysis of exposure reference levels is performed for the case of a half-wavelen...
Predicting important outcomes in patients with complex medical conditions using multimodal electroni...
BACKGROUND: Misdiagnoses of headache disorders are a serious issue. Therefore, we developed an artif...
The individual and societal burden of osteoporosis is high and will continue to increase due to the ...
Fatality rate in coronavirus disease 2019 (COVID-19) cases has been reported to be 3.4% worldwide. T...
Cardiovascular disease is one of the leading threats to human lives and its fatality rate still rise...
Image analysis assistance with artificial intelligence (AI) has become one of the great promises ove...
Mullerian cyst in the posterior mediastinum is a rare disorder. We report on the case of a woman in ...
AIMS: Existing strategies that identify post-infarct ventricular tachycardia (VT) ablation target ei...
Long non-coding RNAs (lncRNAs) played essential roles in nearly every biological process and disease...
OBJECTIVES: To differentiate the primary small-cell lung cancer (SCLC) and non-small-cell lung cance...
BACKGROUND/AIM: Postoperative urinary incontinence (UI) after robot-assisted radical prostatectomy (...
BACKGROUND: One challenge in the field of in-vitro fertilisation is the selection of the most viable...
BACKGROUND: Drug discovery requires the use of hybrid technologies for the discovery of new chemical...
BACKGROUND: Osteoporosis is a prevalent disease for the aged population. Chinese herbderived natural...
Defect detection requires highly sensitive and robust inspection methods. This study shows that non-...
We introduce universal solution manifold network (USM-Net), a novel surrogate model, based on artifi...