Results 241 to 250 of about 81,815 (304)
Intelligent Support for Radiotherapy: A Review of Clinical Applications for Large Language Models. [PDF]
Fu J, Cheng Y, Li Z, Fu J.
europepmc +1 more source
Artificial intelligence (AI) is receiving increasing attention across the entire lifecycle of medicines, from early development to postauthorization use. While various AI tools have been developed in commercial and academic settings, the extent of their use in regulatory contexts within the European Union remains unknown.
Lucina‐May Nollen +3 more
wiley +1 more source
AIPsychoBench: Understanding the Psychometric Differences Between LLMs and Humans. [PDF]
Xie W +7 more
europepmc +1 more source
ABSTRACT Recent literature addressing ESG and risk has increased by 70% since mid‐2022, reflecting a growing interest in sustainable finance. Guided by the PRISMA flow diagram, this paper employs a hybrid systematic review methodology, combining bibliometric analysis with content analysis, to provide a comprehensive overview of the evolution of ESG and
Fahad Asmi, Alain Neher, Alfred Wong
wiley +1 more source
Metacognition of ChatGPT in confidence judgements. [PDF]
Yoshizawa S +5 more
europepmc +1 more source
ABSTRACT Background Large language models (LLMs) are increasingly used to obtain health information, including guidance on child and adolescent mental health. In anorexia nervosa (AN), where early recognition and timely intervention are critical, the accuracy of AI‐generated information available to parents may have important clinical implications ...
Celal Yeşilkaya +4 more
wiley +1 more source
How large language models will be regulated in academia. [PDF]
De Cassai A, Dost B, Conti G.
europepmc +1 more source
Engineered Metal–Organic Frameworks‐Based Materials for Environmental Detection
Engineered metal–organic frameworks (MOFs) regulated by various material modification strategies are discussed for environmental contaminant detection under different sensing mechanisms, providing future improvements of MOFs in environmental detection. Sensitive and selective detection of contaminants is crucial for environmental protection.
Pan Gao +3 more
wiley +1 more source
Enhancing large language model clinical support information with machine learning risk and explainability: a feasibility study. [PDF]
Yeh YC +5 more
europepmc +1 more source
Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang +10 more
wiley +1 more source

