Results 151 to 160 of about 235,092 (315)

A Child-Centered Framework for Determining Mental Distress Severity and Liability: Evidence from Chinese Judicial Practice. [PDF]

Behav Sci (Basel)
Xue Q, Yu D, Zhang Z.
europepmc   +1 more source

Consumer Acceptance of New Sustainable Food Technologies: Upcycling Technology, Biostimulants, and Artificial Intelligence

Agribusiness, EarlyView.
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley   +1 more source

THE FACTS AND MIRAGE OF INTEGRATING ARTIFICIAL INTELLIGENCE INTO THE JUDICIAL SYSTEM OF NIGERIA

International Studies Journal
The creation of machines that are able to learn, reason and perform activities in typical ways of human intelligence is becoming the state-of-the-art application in almost all human endeavour. It is acceptable as a means of relieving excessive workloads
DR ENYINNAYA N. OBOH
doaj  

AI and digital justice in EU labor law. A comparative study on predictive tools and judicial transformation. [PDF]

Front Artif Intell
Molinari M, Giacalone M.
europepmc   +1 more source

Judicial Decision-Making

, 2022
Bystranowski, Piotr, Janik, Bartosz, Próchnicki, Maciej   +2 more
openaire   +2 more sources

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

Individual causal attribution in occupational disease claims: a structured epidemiological approach. [PDF]

Isr J Health Policy Res
Ellenberg E, Weber M, Weiss A, Katorza E, Bhagavathula A.   +4 more
europepmc   +1 more source

Extralevator Abdominoperineal Excision Improves Overall Survival Compared to Standard Abdominoperineal Excision: A Systematic Review and Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
This systematic review and meta‐analysis of 38 studies, encompassing over 5000 patients, compared extralevator abdominoperineal excision (ELAPE) with standard abdominoperineal excision (APE) in patients with advanced low rectal cancer. ELAPE was associated with significantly improved overall and disease‐free survival, reduced intraoperative perforation
Sarolta Beáta Kávási, Diana‐Elena Floria, Anett Rancz, Dániel Sándor Veres, Nándor Faluhelyi, Pál Miheller, Péter Hegyi, Szabolcs Ábrahám   +7 more
wiley   +1 more source

AI-driven transformation in forensic medicine education: applications, pedagogical shifts, and future challenges. [PDF]

Front Med (Lausanne)
Wu YQ, Du Y.
europepmc   +1 more source

Multifactor Risk Stratification for Post‐Transplant Alcohol Relapse Using Abstinence, Psychosocial, and Socioeconomic Factors

Annals of Gastroenterological Surgery, EarlyView.
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana, Garren Montgomery, Miho Akabane, Matthew Hamilton, Navdeep Singh, Musab Alebrahim, Austin Schenk, Sylvester Black, Kenneth Washburn, Khalid Mumtaz   +9 more
wiley   +1 more source