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New perspectives in the differential diagnosis of jaw lesions: Machine learning and inflammatory biomarkers.
Journal of stomatology, oral and maxillofacial surgery
May 7, 2024
This study aimed to assess the diagnostic performance of a machine learning approach that utilized radiomic features extracted from Cone Beam Computer Tomography (CBCT) images and inflammatory biomarkers for distinguishing between Dentigerous Cysts (...
A radiograph-based deep learning model improves radiologists' performance for classification of histological types of primary bone tumors: A multicenter study.
European journal of radiology
May 7, 2024
PURPOSE: To develop a deep learning (DL) model for classifying histological types of primary bone tumors (PBTs) using radiographs and evaluate its clinical utility in assisting radiologists.
Deep Learning Diagnostic Classification of Cervical Images to Augment Colposcopic Impression.
Journal of lower genital tract disease
May 7, 2024
OBJECTIVE: A deep learning classifier that improves the accuracy of colposcopic impression.
Predictive Modelling of Postpartum Haemorrhage Using Early Risk Factors: A Comparative Analysis of Statistical and Machine Learning Models.
International journal of environmental research and public health
May 7, 2024
Postpartum haemorrhage (PPH) is a significant cause of maternal morbidity and mortality worldwide, particularly in low-resource settings. This study aimed to develop a predictive model for PPH using early risk factors and rank their importance in ter...
Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students.
BMC medical education
May 7, 2024
BACKGROUND: Implementing digital transformation and artificial intelligence (AI) in education and practice necessitates understanding nursing students' attitudes and behaviors as end-users toward current and future digital and AI applications.
Perceptions of undergraduate medical students on artificial intelligence in medicine: mixed-methods survey study from Palestine.
BMC medical education
May 7, 2024
BACKGROUND: The current applications of artificial intelligence (AI) in medicine continue to attract the attention of medical students. This study aimed to identify undergraduate medical students' attitudes toward AI in medicine, explore present AI-r...
Comparing the advantages and disadvantages of physics-based and neural network-based modelling for predicting cycling power.
Journal of biomechanics
May 7, 2024
Models of physical phenomena can be developed using two distinct approaches: using expert knowledge of the underlying physical principles or using experimental data to train a neural network. Here, our aim was to better understand the advantages and ...
Artificial intelligence to automate assessment of ocular and periocular measurements.
European journal of ophthalmology
May 6, 2024
PURPOSE: To develop and validate a deep learning facial landmark detection network to automate the assessment of periocular anthropometric measurements.
Human-cobot collaboration's impact on success, time completion, errors, workload, gestures and acceptability during an assembly task.
Applied ergonomics
May 6, 2024
The 5.0 industry promotes collaborative robots (cobots). This research studies the impacts of cobot collaboration using an experimental setup. 120 participants realized a simple and a complex assembly task. 50% collaborated with another human (H/H) a...
Targeted metabolomics combined with machine learning to identify and validate new biomarkers for early SLE diagnosis and disease activity.
Clinical immunology (Orlando, Fla.)
May 6, 2024
BACKGROUND: The early diagnosis of systemic lupus erythematosus (SLE) and the assessment of disease activity progression remain a great challenge. Targeted metabolomics has great potential to identify new biomarkers of SLE.
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