{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T04:22:59Z","timestamp":1774585379529,"version":"3.50.1"},"reference-count":125,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T00:00:00Z","timestamp":1739404800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computers"],"abstract":"<jats:p>This article presents a systematic literature review exploring the integration of Artificial Intelligence (AI) methodologies in project management (PM). Key applications include cost estimation, duration forecasting, and risk assessment, which are critical factors for project success. This review synthesizes findings from 97 peer-reviewed studies published between 2011 and 2024, using the PRISMA methodology to ensure rigor and transparency. AI techniques such as machine learning, deep learning, and hybrid models have exhibited their potential to enhance PM techniques across projects\u2019 phases, including planning, execution, and monitoring. Decision trees are created to represent the application of AI methodologies in various PM stages and tasks to facilitate understanding and real-world implementation. Among these are hybrid AI models that enhance risk assessment, duration forecasting, and cost estimation, as well as categorization based on project phases to optimize AI integration. Despite these advancements, there are still gaps in addressing dynamic project environments, validating AI models with real-world data, and expanding research into underexplored phases like project closure.<\/jats:p>","DOI":"10.3390\/computers14020066","type":"journal-article","created":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T08:01:19Z","timestamp":1739433679000},"page":"66","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Leveraging Artificial Intelligence in Project Management: A Systematic Review of Applications, Challenges, and Future Directions"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4836-5246","authenticated-orcid":false,"given":"Dorothea S.","family":"Adamantiadou","sequence":"first","affiliation":[{"name":"Department of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9107-5969","authenticated-orcid":false,"given":"Loukas","family":"Tsironis","sequence":"additional","affiliation":[{"name":"Department of Business Administration, University of Macedonia, 54636 Thessaloniki, Greece"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,13]]},"reference":[{"key":"ref_1","unstructured":"Project Management Institute (2024, November 10). 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