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Systematic Review and Meta-Analysis of Application of Ultrasound-Guided Thoracic Paravertebral Block in Clinical Surgical Treatment.
Ann Ital Chir
December 2024
Department of Anesthesiology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, 317000 Taizhou, Zhejiang, China.
Aim: There is a lack of consensus regarding the efficacy of thoracic paravertebral block (TPVB) and erector spinae plane block (ESPB) for postoperative pain in randomized controlled trials (RCTs). The comparison of TPVB and ESPB was explored through a systematic review and meta-analysis (MA) of relevant RCTs.
Methods: A comprehensive search of relevant literature was conducted using databases such as PubMed, Embase, and MEDLINE, from 2019 to June 2024.
Weakly supervised learning in thymoma histopathology classification: an interpretable approach.
Front Med (Lausanne)
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Department of Pathology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Introduction: Thymoma classification is challenging due to its diverse morphology. Accurate classification is crucial for diagnosis, but current methods often struggle with complex tumor subtypes. This study presents an AI-assisted diagnostic model that combines weakly supervised learning with a divide-and-conquer multi-instance learning (MIL) approach to improve classification accuracy and interpretability.
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Synth Biol (Oxf)
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Department of Molecular Biosciences, Center for Systems and Synthetic Biology, The University of Texas at Austin, Austin, TX 78712, USA.
Foundational techniques in molecular biology-such as cloning genes, tagging biomolecules for purification or identification, and overexpressing recombinant proteins-rely on introducing non-native or synthetic DNA sequences into organisms. These sequences may be recognized by the transcription and translation machinery in their new context in unintended ways. The cryptic gene expression that sometimes results has been shown to produce genetic instability and mask experimental signals.
View Article and Find Full Text PDFPneumothorax detection and segmentation from chest X-ray radiographs using a patch-based fully convolutional encoder-decoder network.
Front Radiol
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Computer Vision and Machine Intelligence Group, Department of Computer Science, University of the Philippines-Diliman, Quezon City, Philippines.
Pneumothorax, a life-threatening condition characterized by air accumulation in the pleural cavity, requires early and accurate detection for optimal patient outcomes. Chest X-ray radiographs are a common diagnostic tool due to their speed and affordability. However, detecting pneumothorax can be challenging for radiologists because the sole visual indicator is often a thin displaced pleural line.
View Article and Find Full Text PDFImage-enhanced endoscopy in upper gastrointestinal disease: focusing on texture and color enhancement imaging and red dichromatic imaging.
Clin Endosc
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Division of Gastroenterology, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea.
Endoscopic examination plays a crucial role in the diagnosis of upper gastrointestinal (UGI) tract diseases. Despite advancements in endoscopic imaging, the detection of subtle early cancers and premalignant lesions using white-light imaging alone remains challenging. This review discusses two novel image-enhanced endoscopy (IEE) techniques-texture and color enhancement imaging (TXI) and red dichromatic imaging (RDI)-and their potential applications in UGI diseases.
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