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Effect of artificial intelligence-aided differentiation of adenomatous and non-adenomatous colorectal polyps at CT colonography on radiologists' therapy management.
Eur Radiol
January 2025
Department of Radiology, LMU University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany.
Objectives: Adenomatous colorectal polyps require endoscopic resection, as opposed to non-adenomatous hyperplastic colorectal polyps. This study aims to evaluate the effect of artificial intelligence (AI)-assisted differentiation of adenomatous and non-adenomatous colorectal polyps at CT colonography on radiologists' therapy management.
Materials And Methods: Five board-certified radiologists evaluated CT colonography images with colorectal polyps of all sizes and morphologies retrospectively and decided whether the depicted polyps required endoscopic resection.
Pre-trained artificial intelligence-aided analysis of nanoparticles using the segment anything model.
Sci Rep
January 2025
Colloid Chemistry, Department of Chemistry, University of Konstanz, Universitaetsstrasse 10, 78464, Konstanz, Germany.
Complex structures can be understood as compositions of smaller, more basic elements. The characterization of these structures requires an analysis of their constituents and their spatial configuration. Examples can be found in systems as diverse as galaxies, alloys, living tissues, cells, and even nanoparticles.
View Article and Find Full Text PDFArtificial Intelligence-Aided Diagnosis System for the Detection and Classification of Private-Part Skin Diseases: Decision Analytical Modeling Study.
J Med Internet Res
December 2024
School of Automation, Central South University, Changsha, China.
Background: Private-part skin diseases (PPSDs) can cause a patient's stigma, which may hinder the early diagnosis of these diseases. Artificial intelligence (AI) is an effective tool to improve the early diagnosis of PPSDs, especially in preventing the deterioration of skin tumors in private parts such as Paget disease. However, to our knowledge, there is currently no research on using AI to identify PPSDs due to the complex backgrounds of the lesion areas and the challenges in data collection.
View Article and Find Full Text PDFRecent Developments in Drug Design of Oral Synthetic Free Fatty Acid Receptor 1 Agonists.
Drug Des Devel Ther
December 2024
Tasly Academy, Tasly Pharma Co., Ltd., Tianjin, People's Republic of China.
Over the past two decades, synthetic FFAR1 agonists such as TAK-875 and TSL1806 have undergone meticulous design and extensive clinical trials. However, due to issues primarily related to hepatotoxicity, no FFAR1 agonist has yet received regulatory approval. Research into the sources of hepatotoxicity suggests that one potential cause lies in the molecular structure itself.
View Article and Find Full Text PDFArtificial intelligence aided serum protein electrophoresis analysis of Finnish patient samples: Retrospective validation.
Clin Chim Acta
February 2025
Department of Clinical Chemistry, HUS Diagnostic Centre, Helsinki University Hospital and University of Helsinki, P.O. Box 720, FI-00029 HUS, Finland. Electronic address:
Background And Aims: Serum protein electrophoresis interpretation requires a substantial amount of manual work. In 2020, Chabrun et al. created a machine learning method called SPECTR for the task.
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