Artificial Intelligence–Driven Decision Support Systems for Understanding and Managing the Psychological Burden of Childlessness in Clinical Settings

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@article{1719055,
      author = {Ifeoluwa Ayotunde OSUNDARA, Bamigboye Theresa Olaitan, Dr Olubukola Esther Abiodun-Ojo},
      title = {Artificial Intelligence–Driven Decision Support Systems for Understanding and Managing the Psychological Burden of Childlessness in Clinical Settings},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {12},
      pages = {2105-2113},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1719055.pdf},
      abstract = {Childlessness has been recognized to be associated with important psychological distress, depression, anxiety, stigma and grief. Within the context of the clinical settings, identification and management of this psychological burden has been a challenging situation because of multifaceted, subjective and the depth of personal nature of the experiences. Artificial intelligence driven decision support systems have become innovative technologies that can enhance clinical evaluation and intervention through the integration and analysis of difficult psychological, behavioral and clinical data. Therefore, the study explored the potential of artificial intelligence powered decision support systems in understanding and evaluating the psychological burden of childlessness, showing the potential to support early detections of emotional trauma, personalized psychological care as well as improving clinical decision making. Its applications as algorithms and data driven analytics to capture psychological trends, which are usually overlooked in the conventional evaluation methods. Furthermore, the ethical and clinical as well as the implementation challenges with the inclusion of data privacy, bias in algorithms, interpretability were adequately mentioned. Through responsible design and multifaceted collaboration, this review highlights the potential of artificial intelligence driven decision support systems.},
      keywords = {Artificial Intelligence, Decision Support System, Clinicals, Childlessness, Psychological Burden},
      month = {June},
      doi = {https://doi.org/10.64388/IREV9I12-1719055}
  }