AI Medical Compendium Journal:
Technology and health care : official journal of the European Society for Engineering and Medicine

Showing 51 to 60 of 236 articles

A new method for identification of traditional Chinese medicine constitution based on tongue features with machine learning.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The theory of Chinese medicine (TCM) constitution contributes to the optimisation of individualised healthcare programmes. However, at present, TCM constitution identification mainly relies on inefficient questionnaires with subjective bi...

Machine learning-based antibiotic resistance prediction models: An updated systematic review and meta-analysis.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The widespread use of antibiotics has led to a gradual adaptation of bacteria to these drugs, diminishing the effectiveness of treatments.

An automated two-stage approach to kidney and tumor segmentation in CT imaging.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The incidence of kidney tumors is progressively increasing each year. The precision of segmentation for kidney tumors is crucial for diagnosis and treatment.

Research on prediction and evaluation algorithm of sports athletes performance based on neural network.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The Ultimate Fighting Championship (UFC) stands as a prominent global platform for professional mixed martial arts, captivating audiences worldwide. With its continuous growth and globalization efforts, UFC events have garnered significan...

Machine learning-driven predictions and interventions for cardiovascular occlusions.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Cardiovascular diseases remain a leading cause of global morbidity and mortality, with heart attacks and strokes representing significant health challenges. The accurate, early diagnosis and management of these conditions are paramount in...

Effects of robot-assisted walking training on balance, motor function, and ADL depending on severity levels in stroke patients.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Despite the explosive increase in interest regarding Robot-Assisted Walking Training (RAWT) for stroke patients, very few studies have divided groups according to the severity levels of patients and conducted studies on the effects of RAW...

Deep learning approach for skin melanoma and benign classification using empirical wavelet decomposition.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Melanoma is a malignant skin cancer that causes high mortality. Early detection of melanoma can save patients' lives. The features of the skin lesion images can be extracted using computer techniques to differentiate early between melanom...

A deep learning approach for acute liver failure prediction with combined fully connected and convolutional neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Acute Liver Failure (ALF) is a critical medical condition with rapid development, often caused by viral infections, hepatotoxic drug abuse, or other severe liver diseases. Timely and accurate prediction of ALF occurrence is clinically cru...

Intelligent deep learning supports biomedical image detection and classification of oral cancer.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Oral cancer is a malignant tumor that usually occurs within the tissues of the mouth. This type of cancer mainly includes tumors in the lining of the mouth, tongue, lips, buccal mucosa and gums. Oral cancer is on the rise globally, especi...

Deep learning-based differentiation of ventricular septal defect from tetralogy of Fallot in fetal echocardiography images.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Congenital heart disease (CHD) seriously affects children's health and quality of life, and early detection of CHD can reduce its impact on children's health. Tetralogy of Fallot (TOF) and ventricular septal defect (VSD) are two types of ...