Results 141 to 150 of about 1,190 (229)

Can artificial intelligence pass the test? Evaluating chatbot scores on pediatric gastroenterology board‐style questions

JPGN Reports, Volume 7, Issue 1, Page 28-35, February 2026.
Abstract Objectives The American Academy of Pediatrics (AAP) Pediatrics Review and Education Program (PREP)® Gastroenterology (GI) Self‐Assessments help pediatric gastroenterologists and trainees prepare for subspecialty board exams by providing peer‐reviewed questions and critiques based on American Board of Pediatrics content specifications.
Annette G. Roberts, Reshma Patel, Sharmilaa Babu, Matthew M. Engelhard, Rachel G. Greenberg, Arun Ajmera   +5 more
wiley   +1 more source

A perspective for adapting generalist AI to specialized medical AI applications and their challenges. [PDF]

NPJ Digit Med
Wang Z, Wang H, Danek B, Li Y, Mack C, Arbuckle L, Biswal D, Poon H, Wang Y, Rajpurkar P, Xiao C, Sun J.   +11 more
europepmc   +1 more source

At the Crossroads of Data Justice and Data Capitalism: How Generative AI in Healthcare Mobilises Its Assemblages

Sociology of Health &Illness, Volume 48, Issue 2, February 2026.
ABSTRACT Algorithmic technologies such as machine learning, generative artificial intelligence (GenAI) and automated decision‐making have become one of the frontiers of contemporary technoscientific innovation in healthcare. However, algorithmic technologies can never be seen in isolation from the networks in which they are embedded.
Nicole Gross, Susi Geiger
wiley   +1 more source

New frontiers in artificial intelligence for biodiversity research and conservation with multimodal language models

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 238-256, February 2026.
Abstract The integration of artificial intelligence (AI) into biodiversity research and conservation is growing rapidly, demonstrating great potential in reducing the intensive human labour required for data preprocessing, thereby, facilitating larger data collections that offer ecological insights at unprecedented scales.
Zhongqi Miao, Yuanhan Zhang, Zalan Fabian, Andres Hernandez Celis, Sara Beery, Chunyuan Li, Ziwei Liu, Amrita Gupta, Md Nasir, Wanhua Li, Jason Holmberg, Meredith Palmer, Kaitlyn Gaynor, Pablo Arbelaez, Pengce Wang, Rahul Dodhia, Juan Lavista Ferres   +16 more
wiley   +1 more source

Artificial intelligence-powered copilots for precision diagnosis and surgical assessment of histological growth patterns in resectable colorectal liver metastases: a prospective study. [PDF]

Int J Surg
Lin R, Chen Y, Li Y, Tan Y, Wang C, Wang Z, Sun M, Wang L, Wu Y, Ou Q, Ng L, Zhang X, Pan W, Li Z, Chen Z, Zheng Z, Huang X, Zhang L, Sun J, He Z, Li N, Yu Y, Zhang D.   +22 more
europepmc   +1 more source

Predicting animal movement with deepSSF: A deep learning step selection framework

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 371-391, February 2026.
Abstract Predictions of animal movement are vital for understanding and managing wild populations. However, the fine‐scale, complex decision‐making of animals can pose challenges for the accurate prediction of trajectories. Integrated step selection functions (iSSFs), a common tool for inferring relationships between animal movement and the environment,
Scott W. Forrest, Dan Pagendam, Conor Hassan, Jonathan R. Potts, Christopher Drovandi, Michael Bode, Andrew J. Hoskins   +6 more
wiley   +1 more source

theRmalUAV: An R package to clean and correct thermal UAV data for accurate land surface temperatures

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 488-496, February 2026.
Abstract Thermal cameras on unoccupied aerial vehicles (UAVs) are increasingly being used in environmental and ecological research, including hydrology, wildfire detection and prediction, urban heat studies, precision agriculture, ecosystem functioning, wildlife monitoring and microclimate studies.
Christophe Metsu, Wouter H. Maes, Sam Ottoy, Koenraad Van Meerbeek   +3 more
wiley   +1 more source

Artificial intelligence in medical and biological research: promise and perils of ChatGPT and DeepSeek in advancing healthcare. [PDF]

Turk J Biol
Kayaalp ME, Gültekin O, Akçaalan S, Kahraman HÇ, Topçu HN, Kavrul Kayaalp G.   +5 more
europepmc   +1 more source

Examining the generalizability of research findings from archival data. [PDF]

Proc Natl Acad Sci U S A, 2022
Delios A, Clemente EG, Wu T, Tan H, Wang Y, Gordon M, Viganola D, Chen Z, Dreber A, Johannesson M, Pfeiffer T, Generalizability Tests Forecasting Collaboration, Uhlmann EL.   +12 more
europepmc   +1 more source

Access to Healthcare Services for the Deaf: A Scoping Review of Reviews

Health Expectations, Volume 29, Issue 1, February 2026.
ABSTRACT Background Cultural and linguistic minorities are at a higher risk of poorer health, poorer health outcomes, and poorer quality of care, in part due to a lack of access to healthcare services. Inequities in access to healthcare services have been found in several Deaf populations and are associated with poorer physical and mental health ...
Marie‐Mychèle Pratte, Magaly Brodeur, Marie‐Eve Perron, Catherine Hudon   +3 more
wiley   +1 more source