Machine Learning
Showing 9891 to 9900 of 34417 articles
Towards multimodal graph neural networks for surgical instrument anticipation.
International journal of computer assisted radiology and surgery
Jul 10, 2024
PURPOSE: Decision support systems and context-aware assistance in the operating room have emerged as the key clinical applications supporting surgeons in their daily work and are generally based on single modalities. The model- and knowledge-based in...
Artificial intelligence-enhanced opportunistic screening of osteoporosis in CT scan: a scoping Review.
Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
Jul 10, 2024
PURPOSE: This scoping review aimed to assess the current research on artificial intelligence (AI)--enhanced opportunistic screening approaches for stratifying osteoporosis and osteopenia risk by evaluating vertebral trabecular bone structure in CT sc...
Automated Quality Assessment of Medical Images in Echocardiography Using Neural Networks with Adaptive Ranking and Structure-Aware Learning.
International journal of neural systems
Jul 10, 2024
The quality of medical images is crucial for accurately diagnosing and treating various diseases. However, current automated methods for assessing image quality are based on neural networks, which often focus solely on pixel distortion and overlook t...
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A rapid approach with machine learning for quantifying the relative burden of antimicrobial resistance in natural aquatic environments.
Water research
Jul 10, 2024
The massive use and discharge of antibiotics have led to increasing concerns about antimicrobial resistance (AMR) in natural aquatic environments. Since the dose-response mechanisms of pathogens with AMR have not yet been fully understood, and the an...
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Machine learning-based autophagy-related prognostic signature for personalized risk stratification and therapeutic approaches in bladder cancer.
International immunopharmacology
Jul 10, 2024
OBJECTIVE: Bladder cancer (BCa) is a highly lethal urological malignancy characterized by its notable histological heterogeneity. Autophagy has swiftly emerged as a diagnostic and prognostic biomarker in diverse cancer types. Nonetheless, the current...
Prediction of hydroxyl radical exposure during ozonation using different machine learning methods with ozone decay kinetic parameters.
Water research
Jul 10, 2024
The abatement of micropollutants by ozonation can be accurately calculated by measuring the exposures of molecular ozone (O) and hydroxyl radical (OH) (i.e., ∫[O]dt and ∫[OH]dt). In the actual ozonation process, ∫[O]dt values can be calculated by mon...
Early diagnosis of HIV cases by means of text mining and machine learning models on clinical notes.
Computers in biology and medicine
Jul 10, 2024
Undiagnosed and untreated human immunodeficiency virus (HIV) infection increases morbidity in the HIV-positive person and allows onward transmission of the virus. Minimizing missed opportunities for HIV diagnosis when a patient visits a healthcare fa...
Application of artificial intelligence in drug design: A review.
Computers in biology and medicine
Jul 10, 2024
Artificial intelligence (AI) is a field of computer science that involves acquiring information, developing rule bases, and mimicking human behaviour. The fundamental concept behind AI is to create intelligent computer systems that can operate with m...
Leveraging AI technology in sarcoidosis.
Current opinion in pulmonary medicine
Jul 10, 2024
PURPOSE OF REVIEW: Sarcoidosis is a systemic, granulomatous disease of uncertain cause. Diagnosis may be difficult, prognosis uncertain and response to treatment unpredictable. The application of artificial intelligence to sarcoidosis may provide cli...
A novel approach to forecast surgery durations using machine learning techniques.
Health care management science
Jul 10, 2024
This study presents a methodology for predicting the duration of surgical procedures using Machine Learning (ML). The methodology incorporates a new set of predictors emphasizing the significance of surgical team dynamics and composition, including e...
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