Results 191 to 200 of about 1,593,061 (277)

The use and methodological reporting of large language models in qualitative research: a scoping review. [PDF]

BMC Med Res Methodol
Kempny C, Frings J, Rust P, Meister S, Fehring L.   +4 more
europepmc   +1 more source

Retrieve-Then-Verify for Evaluating Evidence Support and Hallucination in Large Language Model-Generated Medical Information: Empirical Study. [PDF]

JMIR AI
Liang Z, Sheffield C, Butera G, Antani S.   +3 more
europepmc   +1 more source

Methods for Uncertainty Quantification in Dictionary Matching to Advance Reliability of Quantitative MRI

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1956-1971, October 2026.
ABSTRACT Aims Purpose: Dictionary matching is a standard tool in quantitative MRI (qMRI), but typically lacks uncertainty quantification (UQ). This is critical when advanced reconstructions (e.g., compressed sensing, deep learning) introduce complex‐valued, spatially varying, and temporally correlated noise that violates standard assumptions of ...
Brian Toner, Ute Goerke, Eze Ahanonu, Kevin Johnson, Vibhas Deshpande, Holden H. Wu, Maria I. Altbach, Ali Bilgin   +7 more
wiley   +1 more source

The <i>Arabidopsis</i> FRIENDLY (FMT) protein interacts with NAC and determines where nuclear-encoded mitochondrial proteins are translated. [PDF]

Proc Natl Acad Sci U S A
Montoya-Brach V, Roignant J, Renard G, Chicher J, Duchêne AM.   +4 more
europepmc   +1 more source

Zero‐Shot Self‐Supervised Learning of Single Breath‐Hold Magnetic Resonance Cholangiopancreatography (MRCP) Reconstruction

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1666-1681, October 2026.
ABSTRACT Purpose To investigate the feasibility of zero‐shot self‐supervised learning reconstruction for reducing breath‐hold times in magnetic resonance cholangiopancreatography (MRCP). Methods Breath‐hold MRCP was acquired from 11 healthy volunteers on 3T scanners using an incoherent k‐space sampling pattern, leading to a 14‐s acquisition time and an
Jinho Kim, Marcel Dominik Nickel, Florian Knoll   +2 more
wiley   +1 more source

Measuring and mitigating debugging effectiveness decay in code language models. [PDF]

Sci Rep
Adnan M, Kuhn CCN.
europepmc   +1 more source

Simultaneous 3‐D Adiabatic T1ρ, T2*, and Quantitative Susceptibility Mapping for Characterization of Myocardial Infarction in Ex Vivo Mouse

NMR in Biomedicine, Volume 39, Issue 10, October 2026.
This study combines segmented T1ρ preparation into a 3‐D gradient‐echo sequence for simultaneous quantitative susceptibility, T2*, and T1ρ mapping of infarcted mouse hearts ex vivo. The method enabled assessment of T1ρ and T2* relaxation time maps and magnetic susceptibility, with ischemic regions clearly identified by all contrasts and consistent with
Iida Räty, Olli Nykänen, Sanna Kettunen, Svetlana Laidinen, Anna‐Kaisa Ruotsalainen, Mikko J. Nissi, Elias Ylä‐Herttuala   +6 more
wiley   +1 more source

Blueprint2Code: a multi-agent pipeline for reliable code generation via blueprint planning and repair. [PDF]

Front Artif Intell
Mao K, Hu B, Lin R, Li Z, Lu G, Zhang Z.
europepmc   +1 more source

Technical Feasibility of IVIM for Prostate Cancer Imaging Using High‐Amplitude Whole‐Body Gradient System With Spiral Readout and Velocity‐Compensated Diffusion Encoding

NMR in Biomedicine, Volume 39, Issue 10, October 2026.
The combination of velocity‐compensated diffusion encoding, spiral readout and strong gradients enabled high‐quality prostate IVIM imaging, offering a promising framework for the development of reliable IVIM‐based biomarkers for prostate cancer detection, characterisation and monitoring.
Malwina Molendowska, Ivan A. Rashid, Kieran Foley, Lars Mueller, Lars E. Olsson, Patrik Brynolfsson, Filip Szczepankiewicz   +6 more
wiley   +1 more source

Using large language models to create lexicons for interpretable text models with high content validity: The suicide risk lexicon. [PDF]

J Psychopathol Clin Sci
Low DM, Rankin O, Coppersmith DDL, Bentley KH, Nock MK, Ghosh SS.   +5 more
europepmc   +1 more source