Results 151 to 160 of about 168,037 (222)

Generative AI and foundation models in medical image. [PDF]

Radiol Phys Technol
Oda M.
europepmc   +1 more source

DEAST: A dataset for English-Arabic scientific translation and vice versa. [PDF]

Data Brief
Ehab R, El-Sawy A, Aldawsari M, Nayel H.
europepmc   +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

Holistic AI in medicine; improved performance and explainability. [PDF]

NPJ Digit Med
Petridis P, Margaritis G, Stoumpou V, Bertsimas D.   +3 more
europepmc   +1 more source

A review of AI-based business lead generation: Scrapus as a case study. [PDF]

Front Artif Intell
Kaplan A, Seker SE, Yoruk R.
europepmc   +1 more source

SciDaSynth: Interactive Structured Data Extraction From Scientific Literature With Large Language Model. [PDF]

Campbell Syst Rev
Wang X, Huey SL, Sheng R, Mehta S, Wang F.   +4 more
europepmc   +1 more source

Collecting and Sharing Person-Centered AI Clinical Summaries Across Frailty Services Provided by the National Health Service and Voluntary, Community, and Social Enterprise: Protocol for a Co-Design and Feasibility Study.

JMIR Res Protoc
Green K, Asthana S, Ponce-Ponte OJ, Downey J, Watson J.   +4 more
europepmc   +1 more source

Enhancing Pulmonary Disease Prediction Using Large Language Models With Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study Based on Radiology Report.

J Med Internet Res
Li R, Mao S, Zhu C, Yang Y, Tan C, Li L, Mu X, Liu H, Yang Y.   +8 more
europepmc   +1 more source

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Automatic text summarization: A comprehensive survey

Expert systems with applications, 2021
Automatic Text Summarization (ATS) is becoming much more important because of the huge amount of textual content that grows exponentially on the Internet and the various archives of news articles, scientific papers, legal documents, etc.
Wafaa S. El-Kassas, Cherif R. Salama, A. Rafea, H. K. Mohamed   +3 more
semanticscholar   +1 more source