Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review

Oral cancer presents a significant global public health challenge, which is further complicated by the psychological distress experienced by patients. The integration of artificial intelligence (AI) into psychiatric nursing offers an innovative approach to improving care for oral cancer patients. Th...

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Main Authors: Abdulmalik Fareeq Saber, Sirwan Khalid Ahmed, Safin Hussein, Karzan Qurbani
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Oral Oncology Reports
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Online Access:http://www.sciencedirect.com/science/article/pii/S2772906024001894
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author Abdulmalik Fareeq Saber
Sirwan Khalid Ahmed
Safin Hussein
Karzan Qurbani
author_facet Abdulmalik Fareeq Saber
Sirwan Khalid Ahmed
Safin Hussein
Karzan Qurbani
author_sort Abdulmalik Fareeq Saber
collection DOAJ
description Oral cancer presents a significant global public health challenge, which is further complicated by the psychological distress experienced by patients. The integration of artificial intelligence (AI) into psychiatric nursing offers an innovative approach to improving care for oral cancer patients. This paper explores the multifaceted role of psychiatric nurses in addressing the psychological aspects of oral cancer, highlighting the transformative potential of AI in enhancing diagnostics, patient monitoring, treatment planning, and psychosocial support. AI-driven tools, such as predictive models, natural language processing, and mobile applications, provide novel means of early disease detection, risk assessment, personalized care planning, and real-time patient support. By leveraging AI, psychiatric nurses can play a crucial role in identifying oral cancer cases, assessing risks, delivering targeted interventions, and promoting patient engagement and self-management. Furthermore, AI-powered telemedicine platforms and wearable devices enable continuous care and support, particularly in remote or underserved areas, ensuring timely intervention and improving patients' quality of life. The collaboration between psychiatric nurses and interdisciplinary teams aims to utilize AI-generated insights for comprehensive care. Challenges and ethical considerations in integrating AI into healthcare include data privacy, algorithm validation, and the need for professional training.
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record_format Article
series Oral Oncology Reports
spelling doaj-art-d9ab6a285bbb4b158792bea7193d17262025-01-09T06:15:53ZengElsevierOral Oncology Reports2772-90602024-06-0110100343Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative reviewAbdulmalik Fareeq Saber0Sirwan Khalid Ahmed1Safin Hussein2Karzan Qurbani3Psychiatric and Mental Health Nursing, College of Nursing, Hawler Medical University, Erbil, Kurdistan Region, 44001, IraqCollege of Nursing, University of Raparin, Rania, Sulaymaniyah, Kurdistan Region, 46012, Iraq; Corresponding author.Department of Biology, College of Science, University of Raparin, Rania, Sulaymaniyah, 46012, IraqDepartment of Biology, College of Science, University of Raparin, Rania, Sulaymaniyah, 46012, IraqOral cancer presents a significant global public health challenge, which is further complicated by the psychological distress experienced by patients. The integration of artificial intelligence (AI) into psychiatric nursing offers an innovative approach to improving care for oral cancer patients. This paper explores the multifaceted role of psychiatric nurses in addressing the psychological aspects of oral cancer, highlighting the transformative potential of AI in enhancing diagnostics, patient monitoring, treatment planning, and psychosocial support. AI-driven tools, such as predictive models, natural language processing, and mobile applications, provide novel means of early disease detection, risk assessment, personalized care planning, and real-time patient support. By leveraging AI, psychiatric nurses can play a crucial role in identifying oral cancer cases, assessing risks, delivering targeted interventions, and promoting patient engagement and self-management. Furthermore, AI-powered telemedicine platforms and wearable devices enable continuous care and support, particularly in remote or underserved areas, ensuring timely intervention and improving patients' quality of life. The collaboration between psychiatric nurses and interdisciplinary teams aims to utilize AI-generated insights for comprehensive care. Challenges and ethical considerations in integrating AI into healthcare include data privacy, algorithm validation, and the need for professional training.http://www.sciencedirect.com/science/article/pii/S2772906024001894Artificial intelligencePsychiatric nursingOral cancerPatient care planningMental healthTelemedicine
spellingShingle Abdulmalik Fareeq Saber
Sirwan Khalid Ahmed
Safin Hussein
Karzan Qurbani
Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review
Oral Oncology Reports
Artificial intelligence
Psychiatric nursing
Oral cancer
Patient care planning
Mental health
Telemedicine
title Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review
title_full Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review
title_fullStr Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review
title_full_unstemmed Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review
title_short Artificial intelligence-assisted nursing interventions in psychiatry for oral cancer patients: A concise narrative review
title_sort artificial intelligence assisted nursing interventions in psychiatry for oral cancer patients a concise narrative review
topic Artificial intelligence
Psychiatric nursing
Oral cancer
Patient care planning
Mental health
Telemedicine
url http://www.sciencedirect.com/science/article/pii/S2772906024001894
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