Results 201 to 210 of about 33,394 (282)
Overcoming Error In Chat GPT With Peter Chew Theorem [Convert large number Quadratic Surds]
Chew P.
europepmc +1 more source
Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
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.
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?
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
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
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

