Early Detection of Cervical Adenocarcinoma Using Immunohistochemical Staining Patterns Analyzed through Computer Vision Technology

Опубликована: Авг. 28, 2024

This paper explores the application of machine learning (ML) in predicting functional recovery patients with ischemic stroke. As technology advances, ML shows significant potential field stroke medicine, especially areas big data analytics and personalized medicine. Studies have shown that algorithms can improve accuracy image analysis, subtype classification, risk assessment, treatment guidance, prognosis prediction. However, widespread use still faces challenges such as standardization, model validation, privacy, bias. reviews current status stroke, discusses faced, looks forward to future development direction, aiming promote practical diagnosis quality life patients.

Язык: Английский

Enhancing Media Convergence with Artificial Intelligence to Stabilize Financial Markets

Опубликована: Янв. 14, 2025

This study explores the application of artificial intelligence (AI) technology in media convergence, focusing on how AI is driving deep integration and financial markets through big data analytics, AIGC (AI-generated content), intelligent communication technologies. Ai-driven sentiment analysis fake news detection tools effectively solve problem information asymmetry spread false market promote stability transparency. Through personalized recommendations communication, provides users with a more accurate content experience improves user engagement satisfaction. In addition, rapid development ecology has promoted intellectualization dissemination public opinion analysis, providing forward-looking support for decision-making.

Язык: Английский

Exploring Material Selection and Applications for Embedded Carbon Reduction in the Built Environment

SSRN Electronic Journal, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский