Results 201 to 210 of about 33,394 (282)

Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew   +3 more
wiley   +1 more source

Chat-GPT as a transpiler for mobile development : Chat-GPT and SequalsK: A comparative analysis.

open access: yes
The mobile market is dominated by the two industry giants, Google and Apple. These two companies, as of January 2024, control over 95% of the global market share (Buchholz, 2023). Consequently, developing applications for both Android and iOS platforms has become a common strategy for companies aiming to reach a broad user base.
Karlsson, Harry Karl Filip   +1 more
openaire   +1 more source

How to Imagine Educational AI: The Filling of a Pail or the Lighting of a Fire?

open access: yesEducational Theory, Volume 76, Issue 3, Page 316-338, June 2026.
Abstract Recent advances in artificial intelligence (e.g., machine learning, generative AI) have led to increased interest in its application in educational settings. AI companies hope to revolutionize teaching and learning by tailoring material to the individual needs of students, automating parts of teachers' jobs, or analyzing educational data to ...
Michał Wieczorek, Alberto Romele
wiley   +1 more source

Students' Perception of Generative AI‐Assisted Collaborative Argumentation

open access: yesEuropean Journal of Education, Volume 61, Issue 2, June 2026.
ABSTRACT The rapid scaling of generative artificial intelligence (GenAI) technology presents opportunities for personalised learning experiences and facilitates collaborative learning, including collaborative argumentation (CA). However, empirical research examining students' perceptions of GenAI‐assisted CA within classroom contexts remains limited ...
Jinhee Kim   +4 more
wiley   +1 more source

Assessing the Reliability, Accuracy, and Relevance of Artificial Intelligence Speech Recognition for Clinical Documentation: A Scoping Review

open access: yesJournal of Evaluation in Clinical Practice, Volume 32, Issue 4, June 2026.
ABSTRACT Background Background Clinical documentation is a major contributor to clinician workload and burnout, with physicians spending more than half of their workday on electronic health record (EHR) tasks. Artificial intelligence (AI)–based speech recognition (ASR) tools promise to reduce this burden by generating draft notes from dictated or ...
Samuel Atiku   +2 more
wiley   +1 more source

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