AIMC Journal:
Scientific reports
Showing 861 to 870 of 5361 articles
Feasibility study of texture-based machine learning approach for early detection of neonatal jaundice.
Scientific reports
Feb 22, 2025
Untreated neonatal jaundice can have severe consequences. Effective screening for neonatal jaundice can prevent long-term complications in infants. Non-invasive approaches may be beneficial in settings with limited resources. This feasibility study e...
Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning.
Scientific reports
Feb 22, 2025
Accurate counting of Amorphophallus konjac (Konjac) plants can offer valuable insights for agricultural management and yield prediction. While current studies have primarily focused on detecting and counting crop plants during the early stages of low...
Spatial recognition and semi-quantification of epigenetic events in pancreatic cancer subtypes with multiplexed molecular imaging and machine learning.
Scientific reports
Feb 22, 2025
Genomic alterations are the driving force behind pancreatic cancer (PC) tumorigenesis, but they do not fully account for its diverse phenotypes. Investigating the epigenetic landscapes of PC offers a more comprehensive understanding and could identif...
Fast, smart, and adaptive: using machine learning to optimize mental health assessment and monitor change over time.
Scientific reports
Feb 22, 2025
In mental health, accurate symptom assessment and precise measurement of patient conditions are crucial for clinical decision-making and effective treatment planning. Traditional assessment methods can be burdensome, especially for vulnerable populat...
Semi-supervised tissue segmentation from histopathological images with consistency regularization and uncertainty estimation.
Scientific reports
Feb 22, 2025
Pathologists have depended on their visual experience to assess tissue structures in smear images, which was time-consuming, error-prone, and inconsistent. Deep learning, particularly Convolutional Neural Networks (CNNs), offers the ability to automa...
Improving Malaria diagnosis through interpretable customized CNNs architectures.
Scientific reports
Feb 22, 2025
Malaria, which is spread via female Anopheles mosquitoes and is brought on by the Plasmodium parasite, persists as a serious illness, especially in areas with a high mosquito density. Traditional detection techniques, like examining blood samples wit...
Optimizing eco-friendly jewelry design through an integrated eco-innovation approach using artificial neural networks.
Scientific reports
Feb 22, 2025
Achieving sustainable practices in the jewelry industry necessitates the adoption of optimized eco-design approaches. The optimization of eco-friendly jewelry design was investigated in this study through an integrated analysis of materials, digital ...
A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity.
Scientific reports
Feb 22, 2025
Chest computed tomography (CT) scans are essential for accurately assessing the severity of the novel Coronavirus (COVID-19), facilitating appropriate therapeutic interventions and monitoring disease progression. However, determining COVID-19 severit...
New machine-learning models outperform conventional risk assessment tools in Gastrointestinal bleeding.
Scientific reports
Feb 21, 2025
Rapid and accurate identification of high-risk acute gastrointestinal bleeding (GIB) patients is essential. We developed two machine-learning (ML) models to calculate the risk of in-hospital mortality in patients admitted due to overt GIB. We analyze...
Generalizable deep neural networks for image quality classification of cervical images.
Scientific reports
Feb 21, 2025
Successful translation of artificial intelligence (AI) models into clinical practice, across clinical domains, is frequently hindered by the lack of image quality control. Diagnostic models are often trained on images with no denotation of image qual...
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