Results 141 to 150 of about 25,088 (256)
Abstract Emergency department (ED) overcrowding and inefficient patient flow are significant operational challenges, often amplified by the volume of patients sustaining fall‐related injuries. This study predicts hospital admission for these encounters by leveraging unstructured clinical text: triage chief complaints (reasons for seeking care) and ...
Dinesh R. Pai +2 more
wiley +1 more source
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu +4 more
wiley +1 more source
Explainable Artificial Intelligence (XAI) for Deep Learning Based Medical Imaging Classification. [PDF]
Ghnemat R, Alodibat S, Abu Al-Haija Q.
europepmc +1 more source
Advancing collagen‐related pathology assessment through second‐harmonic generation imaging
Abstract Collagen remodelling and dysregulation are the hallmarks of diverse pathological conditions. In this context, second‐harmonic generation (SHG) imaging has emerged as a powerful label‐free modality for assessing collagen. This offers submicron resolution, intrinsic optical sectioning, and deeper imaging capabilities without the need for ...
Jackson Rodrigues +7 more
wiley +1 more source
Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review. [PDF]
de Vries BM +5 more
europepmc +1 more source
ABSTRACT Aim To synthesise the available evidence on the effect of artificial intelligence in promoting positive nursing practice environments, exploring outcomes for professionals, clients, and institutions. Background Artificial intelligence has undergone significant advancements and shows great potential to transform nursing practice.
Soraia Cristina de Abreu Pereira +5 more
wiley +1 more source
Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?
ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro +3 more
wiley +1 more source
Explainable Artificial Intelligence in the Field of Drug Research
Qingyao Ding,1 Rufan Yao,1 Yue Bai,1 Limu Da,1 Yujiang Wang,2 Rongwu Xiang,1,3,4 Xiwei Jiang,1 Fei Zhai1 1Faculty of Medical Devices, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, People’s Republic of China; 2Department of Internal ...
Ding Q +7 more
doaj
Personnel Psychology's 40 Questions Series: Artificial Intelligence
ABSTRACT In this article, we present a curated set of 40 questions on Artificial Intelligence (AI) to address its rapidly evolving role in Industrial/Organizational (I/O) Psychology, Human Resources (HR), and Organizational Behavior (OB) research and practice. We solicited questions from our professional networks and organized the responses into themes:
Emily D. Campion, Scott Tonidandel
wiley +1 more source
Explainable Artificial Intelligence (XAI) for Air Quality Assessment
Accurate air quality analysis is essential for comprehending the reasons for and consequences of air pollution, which is a serious environmental concern. Understanding the underlying causes contributing to pollution levels is challenging when using traditional methodologies for air quality analysis since they frequently lack transparency and ...
Sayan Chakraborty +2 more
openaire +1 more source

