Results 101 to 110 of about 18,594 (262)

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

Annals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males, Marko Kumric, Zvonimir Boban, Josip Vrdoljak, Dario Pecenkovic, Matej Ivanda, Marko Grahovac, Zenon Pogorelic, Josko Bozic   +8 more
wiley   +1 more source

Curriculum Learning and Pattern-Aware Highly Efficient Privacy-Preserving Scheme for Mixed Data Outsourcing with Minimal Utility Loss

Applied Sciences
A complex problem when outsourcing personal data for public use is balancing privacy protection with utility, and anonymization is a viable solution to address this issue.
Abdul Majeed, Kyunghyun Lee, Seong Oun Hwang   +2 more
doaj   +1 more source

Prevalence of MSI‐H/dMMR Colorectal Cancer in Japan: Data From the Clinical Study Group of the University of Osaka‐Colorectal Registry

Annals of Gastroenterological Surgery, EarlyView.
Using a multicenter Japanese colorectal cancer cohort from 25 institutions, we analyzed 1464 patients across all disease stages and tumor locations to determine the prevalence and clinicopathological features of MSI‐H/dMMR colorectal cancer. MSI‐H/dMMR tumors accounted for 9.4% of cases overall, were present in 22% of right‐sided colon cancers, and ...
Yoshihiro Morimoto, Mamoru Uemura, Yoshinori Kagawa, Hidekazu Takahashi, Masayuki Hiraki, Yozo Suzuki, Shinichi Yoshioka, Mitsuyoshi Tei, Shu Okamura, Yukako Mokutani, Atsushi Naito, Shinji Tokuyama, Takamichi Komori, Akinobu Yasuyama, Genta Sawada, Yujiro Fujie, Shinya Yamashita, Naotsugu Haraguchi, Yusuke Matsuura, Chu Matsuda, Yoshinao Chinen, Tatsushi Shingai, Katsuki Danno, Nobuo Tanaka, Kazuya Sakata, Kohei Murata, Yuichiro Doki, Hidetoshi Eguchi   +27 more
wiley   +1 more source

Relationship Between Hospital Volume and Outcomes of Minimally Invasive Esophagectomy for Esophageal Cancer: Analysis of the National Clinical Database in Japan

Annals of Gastroenterological Surgery, EarlyView.
According to multivariable analysis conducted using a hierarchical logistic regression model, using VHH as the reference group, the odds ratios for mortality by hospital volume category were as follows: VLH, 2.70 (p < 0.0001); LH, 1.72 (p = 0.052); MH, 1.70 (p = 0.034); and HH, 1.43 (p = 0.173).
Soji Ozawa, Hiraku Kumamaru, Yuko Kitagawa, Kazuo Koyanagi, Junya Oguma, Harushi Udagawa, Hiroaki Miyata, Yasushi Toh, Hisahiro Matsubara   +8 more
wiley   +1 more source

Trends, Demographic Characteristics and Seasonal Patterns of Rectal Prolapse Surgery in Japan: A Nationwide Claims‐Based Analysis From 2014 to 2023

Annals of Gastroenterological Surgery, EarlyView.
This study analyzed nationwide trends, demographic characteristics, and seasonal patterns of rectal prolapse surgery in Japan using healthcare claims data. From 2014 to 2023, age‐adjusted overall and conventional surgeries declined significantly, whereas laparoscopic surgeries increased significantly.
Masamitsu Kido, Tomohiro Arita, Hiroki Shimizu, Jun Kiuchi, Kenji Nanishi, Katsutoshi Shoda, Hiroyuki Okimura, Atsuko Fujihara, Kengo Yoshii, Atsushi Shiozaki   +9 more
wiley   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

The psychosocial toll of Dublin III on asylum seekers in the Netherlands

American Journal of Community Psychology, EarlyView.
Abstract The Dublin III Regulation determines which EU Member State is responsible for examining asylum claims, but its implementation carries significant consequences for those subjected to it. This study examines how Dublin III, as implemented in the Netherlands, affects asylum seekers' psychosocial wellbeing using Silove′s Adaptation and Development
Imen El Amouri
wiley   +1 more source

Border harm and affective injustice: The politics of anger at the Melilla border, Spain

American Journal of Community Psychology, EarlyView.
Abstract This article examines protests in a detention center in Melilla, Spain—a site where structural violence intersects with the everyday harms of confinement. Adopting a justice and dignity‐centered perspective, we analyze grassroots forms of resistance emerging at the border. The study focuses on the protests of Tunisian migrants and explores the
Corina Tulbure
wiley   +1 more source