Results 181 to 190 of about 159,932 (258)

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

Evaluating AI Performance in Systematic Literature Reviews for HEOR: A Case Study. [PDF]

J Health Econ Outcomes Res
Wang-Silvanto J, Jajoo M, Guo H, Ohri R, Nelissen J, Casañas I Comabella C.   +5 more
europepmc   +1 more source

The Collective Power of Bacteria as a Blueprint for Emergent Intelligence

Advanced Intelligent Systems, EarlyView.
Small cells, powerful collectives. Bacteria demonstrate how sophisticated behaviors can emerge from many simple individuals working together. We explore the remarkable world of bacterial communities and the mechanisms that underpin their complex emergent behaviors, enabling impressive adaptability, robustness, and responsiveness to changing ...
Johanna A. Blee, Thomas E. Gorochowski, Sabine Hauert   +2 more
wiley   +1 more source

Aligning labour force perceptions to job attraction, satisfaction and retention strategies in horticulture: A data-driven empirical study for Australian banana industry. [PDF]

PLoS One
Roy M, Akbar D, Rajapaksa D, Rahman A.
europepmc   +1 more source

Balancing Exploration and Exploitation Through a Sequential Hybrid of Roach Infestation and Mayfly Algorithms for Constrained Engineering Design Optimization

AI &Innovation, EarlyView.
ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga, Fevrier Valdez, Oscar Castillo, Patricia Melin   +3 more
wiley   +1 more source

Responsible Artificial Intelligence in Courts: A Four‐Test Framework

AI &Innovation, EarlyView.
ABSTRACT A structured framework for responsible AI applications relating to judicial decision‐making and the adjudicative functions of courts requires the satisfaction of multiple context‐specific safeguards. This article proposes a four‐test framework designed to evaluate whether AI systems used in courts operate in accordance with legal, procedural ...
Kwan Yiu Cheng
wiley   +1 more source

Patient treatment engagement scale (PTES) for inflammatory bowel disease: exploring background factors. [PDF]

BMC Res Notes
Toyoshima H, Yashima C, Akase T, Koinuma M.   +3 more
europepmc   +1 more source

How Organizations Learn and Innovate to Institutionalize Generative AI: Trust, Feedback Loops, and Cultural Friction

AI &Innovation, EarlyView.
ABSTRACT This study examines how organizations advance in their use of Generative AI (GenAI) tools after initial adoption with particular attention to the dynamics of trust, cultural resistance, and feedback mechanisms. Grounded in organizational learning theory and institutional theory, we propose a framework that captures the factors influencing how ...
Surajit Bag, Gautam Srivastava, Santosh Kumar Shrivastav, Daniel Rees   +3 more
wiley   +1 more source

Measuring performance in cancer services during COVID-19 and beyond: a novel case throughput metric using NHS Cancer Waiting Times data. [PDF]

J Public Health (Oxf)
Lam CHM, Mason T, Hollingsworth B.
europepmc   +1 more source