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Standard enhancement settings used on endoscopy systems significantly impair performance of artificial intelligence systems in endoscopy.
Endoscopy
January 2025
Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC Location VUmc, Amsterdam, Netherlands.
Background AI-systems in endoscopy are predominantly developed and tested using high-quality imagery from expert centers. Their performance may be different when applied on heterogeneous imagery in clinical practice. This is partially caused by the diversity in post-processing enhancement settings used in endoscopy units.
View Article and Find Full Text PDFUser-Oriented Requirements for Artificial Intelligence-Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project.
JMIR Res Protoc
January 2025
Institute for Health Care Management and Research, University of Duisburg-Essen, Essen, Germany.
Background: Artificial intelligence (AI)-based clinical decision support systems (CDSS) have been developed for several diseases. However, despite the potential to improve the quality of care and thereby positively impact patient-relevant outcomes, the majority of AI-based CDSS have not been adopted in standard care. Possible reasons for this include barriers in the implementation and a nonuser-oriented development approach, resulting in reduced user acceptance.
View Article and Find Full Text PDFConstruction on training course and training quality evaluation index system of chronic disease medication therapy management service (MTMs) in China: A Delphi study.
PLoS One
January 2025
Department of Pharmacy, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Objective: This study aims to construct a training course and quality evaluation index system for chronic disease Medication Therapy Management service (MTMs) that is suitable for China's national conditions. It seeks to provide tools and a scientific foundation for assessing the quality of MTMs training.
Methods: Drawing from domestic and international literature and combining with the practice of chronic disease medication management by Chinese pharmacists, a preliminary framework for the evaluation index system was established.
Artificial Intelligence in Retrosynthesis Prediction and its Applications in Medicinal Chemistry.
J Med Chem
January 2025
Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
Retrosynthesis is a strategy to analyze the synthetic routes for target molecules in medicinal chemistry. However, traditional retrosynthesis predictions performed by chemists and rule-based expert systems struggle to adapt to the vast chemical space of real-world scenarios. Artificial intelligence (AI) has revolutionized retrosynthesis prediction in recent decades, significantly increasing the accuracy and diversity of predictions for target compounds.
View Article and Find Full Text PDFCost of lung cancer diagnosis: cost differences between national health system and private sector.
Lung Cancer Manag
July 2024
Department of Pulmonology, I.M. Sechenov First Moscow State Medical University, Moscow 678554, Russian Federation.
Lung cancer is still diagnosed at an advanced stage due to lack of early disease symptoms. We have techniques and equipment for rapid on site evaluation of pulmonary lesions. However, with new technology or a combination of technologies in the diagnostic suite the cost of biopsy is rising.
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