Latest AI and machine learning research in surveys for healthcare professionals.
Renal dysfunction is a common side-effect of chemotherapeuticagents in patients with hematopathy. Although broadly used, glomerularfiltration rate (GFR) estimation equations were not fully validatedin this special population. Thus, this study was designed to furtherassess the accuracy of various GFR equations, including the newly2012 CKD-EPI equations. Referring to Tc-DTPA clearance method, three ...
Mental stress has been identified as one of the major contributing factors that leads to various diseases such as heart attack, depression, and stroke. To avoid this, stress quantification is important for clinical intervention and disease prevention. This study aims to investigate the feasibility of exploiting electroencephalography (EEG) signals to discriminate between different stress levels. W...
Assessing attachment in adolescents is important due to relations between insecurity and psychopathology. The child attachment interview (CAI) holds p...
Recently, there has been an upsurge of attention focused on bias and its impact on specialized artificial intelligence (AI) applications. Allegations ...
Artificial Neural Networks (ANNs) are commonly used in place of expensive models to reduce the computational burden required for uncertainty quantific...
The determination of the glomerular filtration rate (GFR) is critical for the selection of potential kidney donors. Methods of measurement of GFR are ...
Cushing's syndrome requires glucocorticoid replacement following adrenalectomy. Based on a simplified glucocorticoid therapy scheme and the peri-opera...
The assessment of sex is of paramount importance in the establishment of the biological profile of a skeletal individual. Femoral relevance for sex es...
Recently, an expert system was developed to provide feedback to examiners with the aim of improving reliability of marker-based gait analysis. The pur...
Machine learning analysis of neuroimaging data can accurately predict chronological age in healthy people. Deviations from healthy brain ageing have b...
BACKGROUND: We examined the validity and reliability of a short robotic test of upper limb proprioception, the Arm Movement Detection (AMD) test, whic...
The challenge of describing 3D real scenes is tackled in this paper using qualitative spatial descriptors. A key point to study is which qualitative d...
For the healthcare sector, it is critical to exploit the vast amount of textual health-related information. Nevertheless, healthcare providers have di...
Craniosynostosis, the premature fusion of cranial bones, affects the correct development of the skull producing morphological malformations in newborn...
OBJECTIVE: To examine the validity of 5 robot-based assessments of arm motor function poststroke.
The free energy calculations of complex chemical and biological systems with molecular dynamics (MD) are inefficient due to multiple local minima sepa...
BACKGROUND: Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classifi...
BACKGROUND: The recent success of deep learning techniques in machine learning and artificial intelligence has stimulated a great deal of interest amo...
Muirhead mean (MM) is a well-known aggregation operator which can consider interrelationships among any number of arguments assigned by a variable vec...