Search Our Scientific Publications & Authors

Comput Biol Med 2022 May 10;146:105599. Epub 2022 May 10.

Ngee Ann Polytechnic, Department of Electronics and Computer Engineering, 599489, Singapore; Department of Biomedical Engineering, School of Science and Technology, SUSS University, Singapore; Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan. Electronic address:

Background And Purpose: Valvular heart disease (VHD) is an important cause of morbidity and mortality. Echocardiography is the reference standard for VHD diagnosis but is not universally accessible. Manual cardiac auscultation is inadequate for screening VHD. Read More

Clin Oral Investig 2022 May 24. Epub 2022 May 24.

Department of Conservative Dentistry and Periodontology, University Hospital, Ludwig-Maximilians University Munich, Goethestraße 70, 80336, Munich, Germany.

Objective: The aim of this study was to develop and validate a deep learning-based convolutional neural network (CNN) for the automated detection and categorization of teeth affected by molar-incisor-hypomineralization (MIH) on intraoral photographs.

Materials And Methods: The data set consisted of 3241 intraoral images (767 teeth with no MIH/no intervention, 76 with no MIH/atypical restoration, 742 with no MIH/sealant, 815 with demarcated opacity/no intervention, 158 with demarcated opacity/atypical restoration, 181 with demarcated opacity/sealant, 290 with enamel breakdown/no intervention, 169 with enamel breakdown/atypical restoration, and 43 with enamel breakdown/sealant). These images were divided into a training (N = 2596) and a test sample (N = 649). Read More

Folia Morphol (Warsz) 2022 May 24. Epub 2022 May 24.

İzmir Bakırçay University Faculty of Medicine Anatomy Department, Gazi Mustafa Kemal Mahallesi, Kaynaklar Caddesi Seyrek,Menemen, İzmir, İzmir, Turkey.

Background: The aim of this study is to predict sex with machine learning (ML) algorithms by making morphometric measurements on radiological images of the first and fifth metatarsal and phalanx bones.

Materials And Methods: In this study, radiologic images of 263 individuals (135 female, 128 male) between the ages of 27 and 60 were analyzed retrospectively. The images in Digital Imaging and Communications in Medicine (DICOM) format were transferred to personal workstation Radiant DICOM Viewer program. Read More

Patterns (N Y) 2022 May 27;3(5):100491. Epub 2022 Apr 27.

Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29201, USA.

Machine-learning-based materials property prediction models have emerged as a promising approach for new materials discovery, among which the graph neural networks (GNNs) have shown the best performance due to their capability to learn high-level features from crystal structures. However, existing GNN models suffer from their lack of scalability, high hyperparameter tuning complexity, and constrained performance due to over-smoothing. We propose a scalable global graph attention neural network model DeeperGATGNN with differentiable group normalization (DGN) and skip connections for high-performance materials property prediction. Read More

BMC Med Educ 2022 May 23;22(1):399. Epub 2022 May 23.

Department of Medical Records, School of Paramedical Sciences, Mazandaran University of Medical Sciences, Sari, Iran.

Background And Purpose: Clinical supervision supports learners and paves the way for effective and efficient learning in clinical settings. This study aimed to explain the responsibilities of clinical supervisors in clinical education wards to improve the professional skills of medical students.

Materials And Methods: In this qualitative study, we used the conventional content analysis approach. Read More