Results 221 to 230 of about 857,892 (290)

Detecting Pediatric Emergency Service Use for Suicide and Self-Harm: Multimodal Analysis of 3828 Encounters. [PDF]

JMIR Ment Health
Edgcomb JB, Saha A, Klomhaus A, Tascione E, Ponce CG, Lee JJ, Tacorda T, Zima BT.   +7 more
europepmc   +1 more source

Zero-Shot PI-RADS Version 2.1 Scoring with ChatGPT-4 Turbo and Llama 3: Diagnostic Performance and Agreement with Abdominal Radiologists. [PDF]

Radiol Imaging Cancer
Firoozeh N, Mastrodicasa D, Behr S, Muglia VF, Westphalen AC.   +4 more
europepmc   +1 more source

Detecting stigmatizing language with large language models: mind the settings. [PDF]

JAMIA Open
Xavier T, Carrington JM, Lambert W J.
europepmc   +1 more source

Matching Patients With Cell Surface-Targeted Clinical Trials Using Large Language Models. [PDF]

JCO Precis Oncol
Callahan SC, Chrostek MR, Rydzewski N, Bootsma M, Helzer KT, Bakhtiar H, Morris ZS, Kosoff D, Lang JM, Ma VT, Sharifi M, Zhao SG.   +11 more
europepmc   +1 more source

Generation of Nano-Antibodies Targeting the SNMP1 Membrane Receptor of <i>Spodoptera littoralis</i> Using Extracellular Vesicles. [PDF]

J Extracell Biol
Dogliani A, Fradale L, Valeille C, Cambillau C, Jacquin-Joly E, Roussel A, Kassis-Sahyoun J.   +6 more
europepmc   +1 more source

Large language models provide unsafe answers to patient-posed medical questions. [PDF]

NPJ Digit Med
Draelos RL, Afreen S, Blasko B, Brazile TL, Chase N, Desai DP, Evert J, Gardner HL, Herrmann L, House AV, Kass S, Kavan M, Khemani K, Koire A, McDonald LM, Rabeeah Z, Shah A.   +16 more
europepmc   +1 more source

TigCLaF: a cross-lingual large language model framework for sentiment-aware text classification in low-resource tigrigna. [PDF]

Sci Rep
Gebremeskel HG, Feng C, Abera AM, Binegde GN.   +3 more
europepmc   +1 more source

A modular and interpretable framework for tabular data analysis using LLaMA 7B: Enhancing preprocessing, modeling, and explainability with local language models. [PDF]

PLoS One
Al Maaytah SA, Qahmash A.
europepmc   +1 more source

Lightweight open-source large language models versus cTAKES for information extraction from discharge summaries: tobacco smoking status test case. [PDF]

JAMIA Open
Dávila-García DM, Schuelke MJ, Wilcox AB.   +2 more
europepmc   +1 more source

Prompting large language models and evaluating inter- and intra-rater agreement for cancer progression assessment from radiology reports. [PDF]

ESMO Real World Data Digit Oncol
Kristjánsson TÓ, Henriksen AF, Hansen ML, Kovacs DG, Bjerrum A.   +4 more
europepmc   +1 more source