Unintended Adverse Consequences of Health IT Implementation: Workflow Issues and Their Cascading Effects DOI
Elizabeth V. Eikey, Yunan Chen, Kai Zheng

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

The assisted Technology dilemma: a reflection on AI chatbots use and risks while reshaping the peer review process in scientific research DOI
Helmi Ben Saad, Ismail Dergaa, Hatem Ghouili

и другие.

AI & Society, Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Язык: Английский

Процитировано

0

Enhancing VBAC Prediction with AI-Powered Temporal Dynamics: Integrating Decision Support into a Shared Decision-Making Platform for Intrapartum Care DOI Creative Commons
Chuangyi Wang,

Mu-En Lee,

Cherng-Chia Yang

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Март 18, 2025

Abstract Background: Taiwan has a high caesarean section (CS) rate, ranging from 37% to 38%. Vaginal Birth After Cesarean (VBAC) offers potential solution reduce these rates. However, the prevalence of VBAC remains below 0.5%, primarily due concerns about risks adverse maternal and perinatal outcomes. Objectives: This study aims evaluate predictive performance various machine learning (ML) models using pregnancy, labor, intervention-related features predict success support real-time clinical decision-making during labor. Study Design: This retrospective exploratory analyzed data collected hospital in northern between January 2019 May 2023. Statistical methods included demographic comparisons, feature evaluations, model metrics such as accuracy, precision, recall, F1-score, area under curve (AUC). SHapley Additive exPlanations (SHAP) analysis was used interpret importance labor progression. Results: A comparison Failure group (n=22) Success (n=33), totaling 55 records 36 pregnant women, revealed significant differences parity, spontaneous rupture membranes, cervical dilation (at both 0 cm 10 cm), progression slope. Models incorporating high-impact demonstrated superior compared those utilizing only pregnancy-related data. The Random Forest achieved an accuracy 94% AUC 0.96 predicting SHAP further identified key predictors across different stages including (body mass index, prior vaginal birth, age), static (spontaneous time since rupture), dynamic (cervical slope). Conclusion: integrative approach, which combines expertise with analytics, provides clinicians valuable tool for evaluation decision-making. By offering more accurate predictions progression, particularly context VBAC, this approach significantly improve neonatal outcomes

Язык: Английский

Процитировано

0

Text Mining Approaches for Exploring Research Trends in the Security Applications of Generative Artificial Intelligence DOI Creative Commons
J.Y. Kim,

Byeongsoo Koo,

Moonju Nam

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(6), С. 3355 - 3355

Опубликована: Март 19, 2025

This study examines the security implications of generative artificial intelligence (GAI), focusing on models such as ChatGPT. As GAI technologies are increasingly integrated into industries like healthcare, education, and media, concerns growing regarding vulnerabilities, ethical challenges, potential for misuse. not only synthesizes existing research but also conducts an original scientometric analysis using text mining techniques. To address these concerns, this analyzes 1047 peer-reviewed academic articles from SCOPUS database methods, including Term Frequency–Inverse Document Frequency (TF-IDF) analysis, keyword centrality Latent Dirichlet Allocation (LDA) topic modeling. The results highlight significant contributions countries United States, China, India, with leading institutions Chinese Academy Sciences National University Singapore driving security. In “ChatGPT” emerged a highly central term, reflecting its prominence in discourse. However, despite frequent mention, showed lower proximity than terms “model” “AI”. suggests that while ChatGPT is broadly associated other key themes, it has less direct connection to specific subfields. Topic modeling identified six major AI language models, data processing, risk management. emphasizes need robust frameworks technical ensure responsibility, manage risks safe deployment systems. These must incorporate solutions accountability, regulatory compliance, continuous underscores importance interdisciplinary integrates technical, legal, perspectives responsible secure technologies.

Язык: Английский

Процитировано

0

Artificial Intelligence-Based Chatbots in Chronic Disease Management: A Systematic Review of Applications and Challenges DOI Open Access

Dalia Saad Altom,

A. Taha, Ahmed M. Hussein

и другие.

Cureus, Год журнала: 2025, Номер unknown

Опубликована: Март 22, 2025

Язык: Английский

Процитировано

0

Unintended Adverse Consequences of Health IT Implementation: Workflow Issues and Their Cascading Effects DOI
Elizabeth V. Eikey, Yunan Chen, Kai Zheng

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0