AIMC Topic: Humans
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A fuzzy based hybrid approach for risk assessment of anesthesiologists using OPA and EDAS methods.
Scientific reports
Aug 31, 2025
Anesthesiologists are exposed to numerous occupational hazards due to the demanding nature of their profession and the complex environment in which they operate. Classical risk assessment approaches often fall short in addressing the multidimensional...
CXR-MultiTaskNet a unified deep learning framework for joint disease localization and classification in chest radiographs.
Scientific reports
Aug 31, 2025
Chest X-ray (CXR) is a challenging problem in automated medical diagnosis, where complex visual patterns of thoracic diseases must be precisely identified through multi-label classification and lesion localization. Current approaches typically consid...
Noncontrast CT-based deep learning for predicting intracerebral hemorrhage expansion incorporating growth of intraventricular hemorrhage.
Scientific reports
Aug 31, 2025
Intracerebral hemorrhage (ICH) is a severe form of stroke with high mortality and disability, where early hematoma expansion (HE) critically influences prognosis. Previous studies suggest that revised hematoma expansion (rHE), defined to include intr...
Major pathophysiological changes in pulmonary disease provided a molecular insight based on deep learning approach.
Scientific reports
Aug 31, 2025
The outburst of pulmonary disorders among the society has shown the devastating effect of undergoing a delay in diagnosis and treatment. Sometimes the traditional methods in detecting and treating the airway disease fail to cure efficiently due to a ...
Factors associated with admission to elderly medical-welfare facilities in South Korea: a cross-sectional machine-learning study.
BMJ open
Aug 31, 2025
OBJECTIVES: To identify the key factors associated with admission to elderly medical-welfare facilities in South Korea and to evaluate their relative importance using machine learning techniques, providing an evidence base for policy in a rapidly age...
Utilisation of artificial intelligence to enhance the detection rates of renal cancer on cross-sectional imaging: protocol for a systematic review and meta-analysis.
BMJ open
Aug 31, 2025
INTRODUCTION: The incidence of renal cell carcinoma has steadily been on the increase due to the increased use of imaging to identify incidental masses. Although survival has also improved because of early detection, overdiagnosis and overtreatment o...
Enhancing pedagogical practices with Artificial Neural Networks in the age of AI to engage the next generation in Biomathematics.
Bulletin of mathematical biology
Aug 31, 2025
In this work we present a C-MATH-NN framework that extends a C-MATH framework that was developed in recent years to include prediction using artificial neural networks (NN) in a way that is engaging, interdisciplinary and collaborative to help equip ...
Development of the Screen for Child Anxiety Related Emotional Disorders (SCARED) optimal short scale for Chinese children and adolescents: based on FasterRisk machine learning modeling.
BMC public health
Aug 30, 2025
BACKGROUND: Although the Screen for Child Anxiety Related Emotional Disorders (SCARED) is a widely used tool for assessing anxiety, its 41-item format makes it a time-intensive method for identifying children and adolescents at high risk of anxiety. ...
Edge computing with federated learning for early detection of citric acid overdose and adjustment of regional citrate anticoagulation.
BMC medical informatics and decision making
Aug 30, 2025
Regional citrate anticoagulation (RCA) is critical for extracorporeal anticoagulation in continuous renal replacement therapy done at the bedside. To make patients' data more secure and to help with computer-based monitoring of dosages, we suggest a ...
Predicting the risk of threatened abortion using machine learning methods: a comparative study.
BMC pregnancy and childbirth
Aug 30, 2025
BACKGROUND AND OBJECTIVE: Threatened abortion, a common pregnancy complication that often leading to abortion, is hard to predict due to its non-specific symptoms and difficulty in differentiating from other early pregnancy bleeding causes. Current d...
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