Challenges in developing artificial intelligence based systems using classic Software Development Life Cycle / Noorihan Abdul Rahman [PDF]
Artificial intelligence (AI) tools have become an essential part of modern software systems, driving automation, predictive analysis, and intelligent decision-making. However, the development of AI tools using traditional software engineering
Abdul Rahman, Noorihan +1 more
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A step toward building a unified framework for managing AI bias. [PDF]
PeerJ Comput Sci, 2023 Rana SA, Azizul ZH, Awan AA.
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Scoping review of health information technology usability methods leveraged in Africa. [PDF]
J Am Med Inform Assoc, 2023 Dougherty K, Hobensack M, Bakken S.
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The rapid advancement of artificial intelligence (AI), machine learning (ML), deep learning (DL), and large language models (LLMs) has created transformative opportunities across every phase of the Software Development Life Cycle (SDLC). This paper presents a comprehensive review of the current state of AI integration in software engineering, examining
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Establishing a Health Information Technology for the Vaccination of National Institutes of Health Staff. [PDF]
Appl Biosaf, 2022 McKeeby JW +24 more
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A Software Development Life-Cycle Model for Web-Based Application Development
, 2004 Software development life cycle models were believed to play a critical role in improving software quality by guiding tasks in the software development processes since being formally introduced and embraced in the 1970s.
King, Barbara M.
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A Study on ML-Based Software Defect Detection for Security Traceability in Smart Healthcare Applications. [PDF]
Sensors (Basel), 2023 Mcmurray S, Sodhro AH.
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Stakeholder-driven development and implementation of CRICIT: an app to support high-quality data capture and protocol monitoring for outpatient clinical trials with vulnerable populations. [PDF]
J Clin Transl Sci, 2023 Clark K +7 more
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Towards Electronic Medical Record (EMR) utilization in developing countries: a conceptual model based on systematic literature review. [PDF]
BMC Med Inform Decis MakRezaei A, Jahanbakhsh M, Dehghan HR.
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Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions. [PDF]
NPJ Digit Med, 2023 Overgaard SM +6 more
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