Results 11 to 20 of about 109,600 (254)
LLM-Driven Collaborative Agents for Wireless Network Management [PDF]
The management of next-generation wireless networks faces unprecedented difficulties driven by complex heterogeneous architectures, exponential device growth, higher frequency bands vulnerable to blockages, dynamic traffic fluctuations, and ever-evolving
Jia Hu (21067097) +2 more
core +6 more sources
LLM-Assisted Content Analysis (LACA): Coded data and model reasons
, 2023 Description This resources consists of calibrations sets (N=100) for 4 publically available datasets using the LLM-Assisted Content Analysis method (LACA).
Annice Kim (16019375) +4 more
core +1 more source
LLM-enabled Incremental Learning Framework for Hand Exoskeleton Control
, 2023 It remains a formidable challenge to accurately recognize patients’ motion intentions to flexibly control hand exoskeletons. Current methods primarily focus on recognition of limited patient’s motion intentions, with the purpose of controlling ...
Wenyuan Chen (16481550)
core +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns
Arthritis Care &Research, Accepted Article.Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen +24 more
wiley +1 more source
Evaluation of Quality of Slovak Language Use in LLMS
Acta Electrotechnica et InformaticaThis study explores the rapid advancement of Large Language Models (LLMs) and their growing support for languages beyond English. Despite this progress, the LLM ecosystem remains predominantly focused on English, particularly in key areas such as ...
Dobeš Marek
doaj +1 more source