eLife

Predictive modeling of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patients

In spontaneous intracerebral hemorrhage patients, features of hematoma expansion can be visualized and predicted from non-contrast computed tomography using transport-based morphometry.
IEEE

Leveraging Internet-Sourced Text Data for Financial Analytics in Supply Chain Finance: A Large Language Model-Enhanced Text Mining Workflow

Abstract: In the era of artificial intelligence and fintech, improving the efficiency of financial analysis is essential for financial service providers. This article proposes a novel large language ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Frontiers

Evaluating and comparing the predictive ability with hypertension risk among obesity indicators: a prospective cohort integrating Mendelian randomization analysis

Objective: This study aimed to compare and evaluate the predictive ability of obesity-related indicators for new-onset hypertension, and to explore causal effects using Mendelian randomization (MR).
Reuters

US Black Friday online sales hit $8.6 billion, says Adobe Analytics

Nov 28 (Reuters) - U.S. shoppers spent $8.6 billion online on Black Friday, an Adobe Analytics report showed, as more consumers turned to laptops and phones instead of braving brisk weather to snap up ...
IEEE

Integrating Transformative AI for Next-Level Predictive Analytics in Healthcare

Abstract: The integration of artificial intelligence (AI) in healthcare has facilitated new predictive analytics, assisting clinicians in making more accurate decisions based on data, rather than ...