Results 201 to 210 of about 239,466 (252)

Human-in-the-Loop as a Safety Guardrail: Clinical Accountability in the Large Language Model Era. [PDF]

J Med Internet Res
Zablah I, Molina Y, Garcia-Loureiro A.
europepmc   +1 more source

Solid–Liquid Triboelectric Nanogenerators as Physicochemical Encoders for Intelligent Liquid Recognition

Interdisciplinary Materials, EarlyView.
Solid–liquid triboelectric nanogenerators are conceptualized as dynamic physicochemical encoders that encode intrinsic liquid properties into distinguishable triboelectric fingerprints. This review provides a unified framework for these platforms, covering sensing mechanisms in droplet impact, continuous flow, and immersion modes.
Mingrui Wang, Yuanzhe Liang, Lining Zhang, Tian Tang, Kean C. Aw, Kai Qian, Ziyi Dai, Bingpu Zhou, Lihua Tang   +8 more
wiley   +1 more source

Zero-shot multimodal large language models underperform a domain-trained CNN baseline in pediatric wrist fracture detection. [PDF]

Sci Rep
Haupt M, Weiß D, Bellersen T, Maurer MH.   +3 more
europepmc   +1 more source

Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories

International Journal of Finance &Economics, EarlyView.
ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley   +1 more source

Evaluating Source-Based Large Language Models for Preclinical Dermatology Education: Comparative Study. [PDF]

JMIR Form Res
Lin FJ, Cho S.
europepmc   +1 more source

Beyond Search Engine Optimization: How Large Language Models Are Redefining Surgeon Visibility. [PDF]

Plast Reconstr Surg Glob Open
Sorenson TJ, Boyd CJ, Hemal K, Cohen O, Karp N, Choi M.   +5 more
europepmc   +1 more source

A comparative analysis of the performance of leading large language models on the endodontics section of the dentistry specialization exam in Türkiye. [PDF]

PLoS One
Başkan B, Başkan HK, Koç N.
europepmc   +1 more source

Leveraging Large Language Models to Integrate Clinical Knowledge and Machine Learning Predictions for Lymph Node Metastasis Prediction: Development of a Knowledge-Augmented Framework. [PDF]

JMIR Med Inform
Yu H, Liu B, Zeng X, Ren M, Cao Z, Zhu X, Lu X, Xu J, Wu N, Hu D.   +9 more
europepmc   +1 more source