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Diagnostic Accuracy of Artificial Intelligence for Detection of Rib Fracture on X-ray and Computed Tomography Imaging: A Systematic Review.
J Imaging Inform Med
January 2025
Department of Orthopedic Surgery, Arrowhead Regional Medical Center, Colton, CA, USA.
Rib pathology is uniquely difficult and time-consuming for radiologists to diagnose. AI can reduce radiologist workload and serve as a tool to improve accurate diagnosis. To date, no reviews have been performed synthesizing identification of rib fracture data on AI and its diagnostic performance on X-ray and CT scans of rib fractures and its comparison to physicians.
View Article and Find Full Text PDFMulti-class Classification of Retinal Eye Diseases from Ophthalmoscopy Images Using Transfer Learning-Based Vision Transformers.
J Imaging Inform Med
January 2025
College of Engineering, Department of Computer Engineering, Koç University, Rumelifeneri Yolu, 34450, Sarıyer, Istanbul, Turkey.
This study explores a transfer learning approach with vision transformers (ViTs) and convolutional neural networks (CNNs) for classifying retinal diseases, specifically diabetic retinopathy, glaucoma, and cataracts, from ophthalmoscopy images. Using a balanced subset of 4217 images and ophthalmology-specific pretrained ViT backbones, this method demonstrates significant improvements in classification accuracy, offering potential for broader applications in medical imaging. Glaucoma, diabetic retinopathy, and cataracts are common eye diseases that can cause vision loss if not treated.
View Article and Find Full Text PDFPhyto-Fingerprinting of Putranjiva roxburghii Wall. Leaf Extract and its In Vitro Anti-Inflammatory Activity.
Cell Biochem Biophys
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Department of Zoology, MMV, Banaras Hindu University, Varanasi, 221005, UP, India.
Putranjiva roxburghii is an important medicinal plant utilized for remedy of female reproductive ailments. Its seed extract is being used as a uterine health booster due to the presence of several pharmaceutically important phytochemicals. However, the presence of phytochemicals in its leaf is still unexplored.
View Article and Find Full Text PDFA multi-domain feature fusion epilepsy seizure detection method based on spike matching and PLV functional networks.
J Neural Eng
January 2025
Hangzhou Dianzi University, School of Automation, Hangzhou Dianzi University, Hangzhou 310052, China, Hangzhou, Zhejiang, 310018, CHINA.
The identification of spikes, as a typical characteristic wave of epilepsy, is crucial for diagnosing and locating the epileptogenic region. The traditional seizure detection methods lack spike features and have low sample richness. This paper proposes a seizure detection method with spike-based phase locking value (PLV) functional brain networks and multi-domain fused features.
View Article and Find Full Text PDFAdaptive sequence alignment for metagenomic data analysis.
Comput Biol Med
January 2025
Turku Bioscience Centre, University of Turku and Åbo Akademi University, FI-20520, Turku, Finland; Institute of Biomedicine, University of Turku, FI-20520, Turku, Finland. Electronic address:
With advances in sequencing technologies, the use of high-throughput sequencing to characterize microbial communities is becoming increasingly feasible. However, metagenomic assembly poses computational challenges in reconstructing genes and organisms from complex samples. To address this issue, we introduce a new concept called Adaptive Sequence Alignment (ASA) for analyzing metagenomic DNA sequence data.
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