Results 181 to 190 of about 58,933 (244)

Fine-tuning and structured prompting strategies for question answering over full-text biomedical research articles. [PDF]

PLoS One
Tao K, Satija R, Zhou J, Osman ZA, Ahluwalia V, Sabatti C, Shafer RW.   +6 more
europepmc   +1 more source

Evaluation of a non‐radioactive rapid test for determination of serum progesterone in South American camelids

Veterinary Record, Volume 199, Issue 7, Page e327-e330, 3/10 October 2026.
Abstract Background Determination of the serum progesterone (P4) concentration is of high importance in reproductive medicine and may be applied for diagnosing pregnancy in South American camelids. P4 measurements in alpacas and llamas are usually performed using immunoassays, which are time consuming and require appropriate expertise of laboratory ...
Lina Längerer, Gerhard Schuler, Philipp Pohlscheid, Henrik Wagner, Kathrin Büttner, Axel Wehrend   +5 more
wiley   +1 more source

Privacy Leakage in Federated Learning in Radiology Reports: Comparative Evaluation of Tokenizer and Batch-Size Privacy Risks. [PDF]

JMIR Med Inform
Parampottupadam S, Martínez Mora A, Bounias D, Sav S, Maier-Hein K, Floca R.   +5 more
europepmc   +1 more source

From Idea to Implementation: Evaluating the Influence of Large Language Models in Software Development—An Opinion Paper

Applied AI Letters, Volume 7, Issue 3, October 2026.
Professionals' insights on the use of large language models (LLMs) in software development. This abstract highlights how transformer‐based models enhance productivity, reduce coding time, and assist with tasks such as code generation, debugging, and documentation, while also emphasizing potential challenges including overdependence and ethical ...
Sargam Yadav, Asifa Mehmood Qureshi, Abhishek Kaushik, Shubham Sharma, Roisin Loughran, Subramaniam Kazhuparambil, Andrew Shaw, Mohammed Sabry, Niamh St John Lynch, Nikhil Singh, Padraic O'Hara, Pranay Jaiswal, Roshan Chandru, David Lillis   +13 more
wiley   +1 more source

Streamlining the Abstract Selection Process for the American Society of Breast Surgeons' Annual Meeting by Utilizing Large Language Models. [PDF]

Ann Surg Oncol
Cohen LN, Seibert D, Kosten T, Wolfrath N, Al-Hilli Z, Kantor O, Singh P, Teshome M, Blair S, Hieken TJ, Wilke LG, Kothari A, Cortina CS.   +12 more
europepmc   +1 more source

Sentiment Analysis of Imbalanced Dataset Through Data Augmentation and Generative Annotation Using DistilBERT and Low‐Rank Fine‐Tuning

Applied AI Letters, Volume 7, Issue 3, October 2026.
The proposed model takes an imbalanced English dataset as input and balances it by Generating Synthetic Tweets (GST) using GPT‐based paraphrasing. These new tweets are then annotated with one of 10 categorical labels representing their primary meaning, using another large language model like GPT.
Hossein Nekouei, Mohammad Hossein Moattar   +1 more
wiley   +1 more source

Automated identification of keratinocyte cancers in pathology reports using large language models. [PDF]

PLOS Digit Health
Helder M, Olsen CM, Pandeya N, Wang H, Whiteman DC, Trzaskowski M, Law MH.   +6 more
europepmc   +1 more source

Humans are not unique: difficult birth is common in placental mammals

Biological Reviews, Volume 101, Issue 5, Page 2214-2239, October 2026.
ABSTRACT Human childbirth is widely presumed to be uniquely difficult and dangerous compared to birth in other mammals. Tight fetopelvic proportions can result in obstructed labour and contribute to high rates of maternal and neonatal mortality. Ideas summarised under the ‘obstetrical dilemma’ have contributed to this assumption by explaining difficult
Nicole D. S. Grunstra
wiley   +1 more source

Correctness, Harmfulness, and Diversity of Large Language Models for Colonoscopy Preparation Assistance: Comparative Evaluation Study. [PDF]

JMIR AI
Kaumenova T, Chakraborty S, Fosler-Lussier E, Gofar K, Metcalf I, Perrault A, White M.   +6 more
europepmc   +1 more source

Introduction to Concepts in Artificial Intelligence and Machine Learning for Pharmacoepidemiologists: Large Language Models

Pharmacoepidemiology and Drug Safety, Volume 35, Issue 10, October 2026.
ABSTRACT Large language models (LLMs) represent a type of generative artificial intelligence (GenAI) that generate and interpret text, with some LLMs able to process multimodal content (e.g., images, audio, video), and can be deployed as part of agents to perform users' tasks. LLMs can perform natural language processing functions such as summarization,
James M. Gwinnutt, Rodrigo de Oliveira, Miriam J. Haviland, Julien H Shippee, Elizabeth Eldridge, Lenon Mendes Pereira, Emily Bratton, Jay Nanavati, Christina DeFilippo Mack   +8 more
wiley   +1 more source