Results 111 to 120 of about 86,158 (257)

The use of LLMs to annotate data in management research: Foundational guidelines and warnings

Strategic Management Journal, EarlyView.
Abstract Research Summary The emergence of large language models (LLMs) offers new opportunities for AI integration in research, particularly for data annotation and text classification. However, researchers lack guidance on implementation best practices, as the benefits and risks of these tools remain poorly understood.
Natalie A. Carlson, Vanessa Burbano
wiley   +1 more source

Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty

International Journal of Computational Intelligence Systems
Predicting financial risk accurately is crucial for maintaining economic sustainability and investor trust in an era of increasing economic volatility and business instability. There are several problems with traditional financial risk assessment models,
Muqiao Cai
doaj   +1 more source

Quantifying Structural Complexity, Effort, and Performance: An Early Experiment Using Network Design Tasks

Systems Engineering, EarlyView.
ABSTRACT Structural Complexity is perceived as driving cost in system development, yet managing it effectively requires empirical understanding. This study investigates human decision‐making using a toy transportation‐style network design task, focusing on how Structural Complexity, Effort, and Performance interact. Seventy‐four participants (primarily
Alfonso Lanza, Joshua Sutherland, Marc‐Andre Chavy‐Macdonald, Olivier L. de Weck   +3 more
wiley   +1 more source

A Systems Engineering Methodology for System of Autonomous Systems: Test and Evaluation

Systems Engineering, EarlyView.
ABSTRACT Recent advances in artificial intelligence and machine learning (AI/ML) have resulted in autonomous systems that reduce operators' workload and involvement in hazardous missions. Integrating these systems into an existing system of systems (SoS) can evolve it into a system of autonomous system (SoAS).
Mohammadreza Torkjazi, Ali K. Raz
wiley   +1 more source

Predictive accuracy of boosted regression model in estimating risk of venous thromboembolism following minimally invasive radical surgery in pharmacological prophylaxis-naïve men with prostate cancer

World Journal of Surgical Oncology
Background Venous thromboembolism (VTE) is a potentially life-threatening but preventable complication after urological surgery. Physicians are faced with the challenges of weighing the risks and benefits of thromboprophylaxis given scanty evidence for ...
Chie Hui Leong, Sushil Rodrigues Ranjan, Anna Javed, Basim S.O. Alsaedi, Ghulam Nabi   +4 more
doaj   +1 more source

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation

Health Technology Assessment
Background Lung cancer is one of the most common types of cancer and the leading cause of cancer death in the United Kingdom. Artificial intelligence-based software has been developed to reduce the number of missed or misdiagnosed lung nodules on ...
Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen   +13 more
doaj   +1 more source

A Cost Consequence Analysis of Seven Diagnostic Strategies for Ovarian Cancer: A Model‐Based Economic Evaluation

BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Objective To assess the costs and consequences of seven diagnostic strategies for ovarian cancer in pre‐ and post‐menopausal women with symptoms in secondary care. Design Economic evaluation alongside a prospective single‐arm diagnostic accuracy study.
Samuel J. Perry, Donal Griffin, Eleanor V. Williams, Tracy E. Roberts, Fong Lien Kwong, Sarah Williams, Jon Deeks, Katie Scandrett, Ridhi Agarwal, Sudha S. Sundar, Mark Monahan   +10 more
wiley   +1 more source

Host Phylogeny and Feeding Habit Jointly Govern Mammalian Gut Microbiota Composition

Integrative Zoology, EarlyView.
Herbivores showed higher alpha diversity than carnivores/omnivores, while omnivores had the highest beta diversity. Host phylogeny influenced gut microbiota more strongly in herbivores/omnivores, with phylogenetic distance correlating to microbiota dissimilarity.
Chaoyuan Cheng, Hongjuan Zhai, Jiajia Feng, Zhibin Zhang   +3 more
wiley   +1 more source

State‐and‐transition simulation models: How can we use them to assess ecosystem condition and support nature markets

Methods in Ecology and Evolution, EarlyView.
Abstract The world is experiencing a biodiversity crisis. Steep declines in habitat quality and ecosystem services have resulted in interest in markets to help fund ecological restoration. One way that ecological restoration is assessed is through indicators of ecosystem condition, namely, a measurement of how different a landscape is from its ...
James M. Furlaud, Katrina Szetey, Kristen J. Williams, Louis Provencher, Suzanne M. Prober, Anna E. Richards   +5 more
wiley   +1 more source