Results 111 to 120 of about 34,912 (272)

Efficacy of large language models in detecting postoperative delirium from unstructured clinical notes: A retrospective cohort study

open access: yesnpj Digital Medicine
Early identification of postoperative delirium (POD) remains challenging. This retrospective observational study compared the performance of large language models (LLMs), Llama-3-70B and GPT-4o, and physicians in predicting clinically significant POD ...
Da-In Eun   +9 more
doaj   +1 more source

Evaluation of Generative AI Models in Python Code Generation: A Comparative Study

open access: yesIEEE Access
This study evaluates leading generative AI models for Python code generation. Evaluation criteria include syntax accuracy, response time, completeness, reliability, and cost. The models tested comprise OpenAI’s GPT series (GPT-4 Turbo, GPT-4o, GPT-
Dominik Palla, Antonin Slaby
doaj   +1 more source

Tracking of [14C]Polystyrene Nanoplastics in Pregnant Mice

open access: yesAdvanced Science, EarlyView.
This study investigates [14C]polystyrene nanoplastic ([14C]PS) translocation in late‐stage pregnant mice after intranasal (0.5 mg of [14C]PS on GD12, GD14, and GD16, n = 6) and intravenous administration (1.5 mg of [14C]PS on GD16, n = 6). 14C‐radiolabel allows quantitative tracking of unmodified polystyrene nanoplastics.
Olga Khaybullina   +2 more
wiley   +1 more source

Comparitive performance of artificial intelligence-based large language models on the orthopedic in-training examination

open access: yesJournal of Orthopaedic Surgery
Background Large language models (LLMs) have many clinical applications. However, the comparative performance of different LLMs on orthopedic board style questions remains largely unknown.
Andrew Y Xu   +9 more
doaj   +1 more source

Stable Diffusion Models Reveal a Persisting Human–AI Gap in Visual Creativity

open access: yesAdvanced Science, EarlyView.
This study examines visual creativity in humans and generative AI using the TCIA framework. Human artists outperform AI overall, yet structured human guidance substantially improves AI outputs and evaluations. Findings reveal that alignment with human creativity depends critically on contextual framing, highlighting both the promise and current ...
Silvia Rondini   +8 more
wiley   +1 more source

Does GPT-4 surpass human performance in linguistic pragmatics?

open access: yesHumanities & Social Sciences Communications
As Large Language Models (LLMs) become increasingly integrated into everyday life as general-purpose multimodal AI systems, their capabilities to simulate human understanding are under examination.
Ljubiša Bojić   +2 more
doaj   +1 more source

Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy

open access: yesAdvanced Science, EarlyView.
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li   +7 more
wiley   +1 more source

Affinity‐Based Interactome Mapping of Inositol Pyrophosphates Reveals 4/6‐PP‐InsP5‐Binding Proteins in Plants

open access: yesAdvanced Science, EarlyView.
ABSTRACT Inositol pyrophosphates (PP‐InsPs) are central regulators of eukaryotic signaling events. While certain PP‐InsP isomers have been conclusively linked to the regulation of phosphate homeostasis through interaction with SPX domain‐containing proteins in plants, the functions of the recently discovered isomer 4/6‐PP‐InsP5 remain largely unknown ...
Kevin Ritter   +10 more
wiley   +1 more source

Assessing GPT-4 performance and alignment with human expertise for text-based MRI protocol assignment

open access: yesDiscover Computing
Accurate imaging protocol assignment is a critical component of clinical radiology workflows. This study evaluates the extent to which GPT-4’s decision-making aligns with human expertise in text based imaging protocol classification and compares its ...
Salmonn Talebi   +2 more
doaj   +1 more source

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