Results 231 to 240 of about 22,074,380 (291)

Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?

British Journal of Clinical Pharmacology, EarlyView.
Christina Gao, Ashley M. Hopkins, Andrew Rowland, Stephen Bacchi   +3 more
wiley   +1 more source

From Policy to Practice: A Global Review of Circular Economy Strategy Documents in Construction Using NLP

Business Strategy and the Environment, EarlyView.
ABSTRACT This study explores how circular economy (CE) principles are incorporated in construction‐related policy roadmaps worldwide, addressing the growing need for effective resource strategies in a highly material‐intensive sector. National strategic CE documents from 57 countries were analyzed using natural language processing techniques, and then ...
Aidana Tleuken, Hamad Hassan Awan, Aidos Kyrkynbay, Sanzhar Sanat, Huseyin Atakan Varol, Ferhat Karaca   +5 more
wiley   +1 more source

Evaluating a Guideline-Integrated Clinical Interaction Framework Vs a Standard Large Language Model Interaction for Dietary Recommendations in Recurrent Urolithiasis: In Silico Study. [PDF]

J Med Internet Res
Wang X, Li J, Hu Y, Chen Y, Zhong Y, Zhu F, Yuan Y, Yang F, Ye J.   +8 more
europepmc   +1 more source

The Impact of Generative AI on the Perpetuation and Detection of Greenwashing in Sustainability Reports: Insights From an Experiment

Business Strategy and the Environment, EarlyView.
ABSTRACT Our study, based around an experiment, examines the consequences when generative AI tools are used to create and assess sustainability disclosures. There are two key findings: (1) that generative AI greenwashes sustainability disclosures, with our study participants doing little to mitigate this, and (2) that our study participants viewed AI ...
Ruth Dimes, Charl de Villiers, Paul Denny, Juho Leinonen   +3 more
wiley   +1 more source

Authors' Reply: Who Reviews the Rewrite? Separating Patient-Initiated and Institutionally Curated Large Language Model Simplification. [PDF]

JMIR AI
Miftaroski A, Zowalla R, Wiesner M, Pobiruchin M.   +3 more
europepmc   +1 more source

ESG Disclosure Quality as Organizational Information Processing: Comparing Human Coding, Rule‐Based Automation, and LLM Semantic Scoring

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how different scoring architectures evaluate the same ESG disclosure text and produce different ESG disclosure‐quality scores. Using sustainability‐related reports published by Korean listed firms during 2020–2021, the study compares three approaches: Human‐ESG based on a structured nine‐item disclosure‐quality rubric, Rule‐
Jaehyun Park
wiley   +1 more source

Large language models as uncertainty-calibrated optimizers for experimental discovery. [PDF]

Nat Mach Intell
Ranković B, Griffiths RR, Schwaller P.
europepmc   +1 more source

Greenwashing Across Industries: A Scoping Review of Explanatory Factors, Reporting Tactics, and Disclosure‐Action Decoupling

Business Strategy and the Environment, EarlyView.
ABSTRACT This scoping review provides an industry‐comparative synthesis of greenwashing and disclosure‐action decoupling in sustainability‐related reporting. Guided by PRISMA, it reviews 73 peer‐reviewed articles published between 2016 and 2025 and organizes them into three streams: variable‐based explanatory, report analysis, and disclosure‐action ...
Zhang Yiping, Amr ElAlfy, Jeffrey Wilson, Olaf Weber   +3 more
wiley   +1 more source

Automating the Management of Extraspinal Findings in Magnetic Resonance Imaging Spine Studies Using a Privacy-Preserving Large Language Model: Retrospective Validation Study. [PDF]

J Med Internet Res
Ong W, Tan G, Ting YH, Ge S, Tan YL, Low XZ, Tan WC, Makmur A, Leow NW, Din Abdul Jabbar MA, Yap QV, Ong SJ, Tan JHJ, Kumar N, Hallinan JTPD.   +14 more
europepmc   +1 more source

Measuring Corporate Energy Transition Through Web‐Based Evidence and Large Language Models

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper proposes a scalable method to measure firm‐level engagement with the energy transition using corporate website disclosures and large language models (LLMs). We construct a restrictive, policy‐aligned rubric that codes evidence of (i) energy efficiency improvements, (ii) decarbonization and emissions‐reduction strategies, and (iii ...
Xavier Martínez‐Barbero, Ana Pastor‐Merino, Josep Domenech   +2 more
wiley   +1 more source