Results 231 to 240 of about 81,815 (304)

Large language models in patient education for brain tumors: opportunities, risks, and ethical considerations. [PDF]

Front Oncol
Christodoulou RC, Papageorgiou PS, Lucio Pereira AC, Solomou EE, Papageorgiou SG, Vassiliou E, Georgiou MF.   +6 more
europepmc   +1 more source

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

Investigating fine-tuning versus zero-shot learning for general large language models when predicting cancer survival from initial oncology consultation documents. [PDF]

ESMO Real World Data Digit Oncol
Phaterpekar T, Zeng Z, Mali Y, Leung B, Ho C, Ng RT, Bates AT, Nunez JJ.   +7 more
europepmc   +1 more source

A new approach for detecting low-level mutations in next-generation sequence data

, 2012
Li, M., Stoneking, M.
core   +1 more source

Consumer Acceptance of Conversational Bots: Systematic Literature Review and Meta‐Analysis

Journal of Consumer Behaviour, EarlyView.
ABSTRACT As consumers increasingly rely on conversational bots for daily tasks, evidence surrounding motivations for acceptance remains scattered. A systematic literature review (SLR) was conducted on 64 journal articles published between 2008 and 2024, of which 48 provided sufficient quantitative data for inclusion in a meta‐analysis.
Omar H. Fares, Seung Hwan (Mark) Lee
wiley   +1 more source

Performance of Enhanced Large Language Models on Prosthodontic Multiple-Choice Questions. [PDF]

Int Dent J
Gao S, Wang ZA, Gao Z, Liu J, Zhang H, Pan S, Zhou Y.   +6 more
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

AI-Powered Clinical Decision Support in Dentistry: Comparative Evaluation of Large Language Models for Oral Medicine and Periodontal Diagnosis. [PDF]

Med Sci Monit
Meer RM, Alqarni A, Akily BM, Zaki H, Fayad MI, AbdElaziz MHH, Elboraey MO.   +6 more
europepmc   +1 more source

Chemie.KI – Automatisierte Aufgabenbewertung durch trainierte KI‐Modelle

CHEMKON, EarlyView.
In Schule und Hochschule bearbeiten Lernende in der Regel mehr Aufgaben, als Lehrende korrigieren können. Wo der Mensch an seine Grenzen kommt, kann Künstliche Intelligenz (KI) ansetzen und bei Routineaufgaben unterstützen oder sie auch ganz übernehmen.
Timm Wilke
wiley   +1 more source