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All Journal Indonesian Journal of Health Sciences Research and Development (IJHSRD)
Sukatemin Sukatemin
a:1:{s:5:"en_US";s:27:"Poltekkes Kemenkes Jayapura";}
Health Professions Public Health

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Transformation Concept of Artificial Intelligencein the Early Identification of Tuberculosis Recovery Phase: A Systematic Literature Review: Early Identification of Tuberculosis Recovery Sukatemin Sukatemin; Yuli Peristiowati
INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT (IJHSRD) Vol. 5 No. 1 (2023): INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT
Publisher : STIKes Mandala Waluya Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36566/ijhsrd/Vol5.Iss1/144

Abstract

Background: Another chronic problem in tuberculosis (TB) eradication programs amid the widespread use of artificial intelligence (AI) in the health world is that early identification of the healing phase has not been found using similar technology. The purpose is to find if the transformation concept of AI will be able to help identify symptoms of early recovery of TB. Methods: This research used a document review with a descriptive design. Data was processed by PRISMA analysis. The keywords were Artificial Intelligence, convalescence phase, and tuberculosis. The data were filtered from Google Engine included from Google Scholar, ResearchGate, PubMed, and Semantic Scholar screened in the last 5 years (2018-2023), in English or Indonesian. The stages of document screening were adjusted to the PRISMA diagram, and were analyzed descriptively. Results: The study shows that the majority of AI studies discussed diagnosis (n=9 or 69.2%), only 3 documents (23.1%) discussed on TB treatment, and 1 document (7.7%) on monitoring. In conclusion, early identification of the recovery phase of TB patients is supported by previous researchers and can be done in the form of an application. Conclusions: Artificial intelligence in the TB eradication program has value especially if conducted integrated with other health programs.
Transformation Concept of Artificial Intelligencein the Early Identification of Tuberculosis Recovery Phase: A Systematic Literature Review: Early Identification of Tuberculosis Recovery Sukatemin Sukatemin; Yuli Peristiowati
INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT (IJHSRD) Vol. 5 No. 1 (2023): INDONESIAN JOURNAL OF HEALTH SCIENCES RESEARCH AND DEVELOPMENT
Publisher : STIKes Mandala Waluya Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36566/ijhsrd/Vol5.Iss1/144

Abstract

Background: Another chronic problem in tuberculosis (TB) eradication programs amid the widespread use of artificial intelligence (AI) in the health world is that early identification of the healing phase has not been found using similar technology. The purpose is to find if the transformation concept of AI will be able to help identify symptoms of early recovery of TB. Methods: This research used a document review with a descriptive design. Data was processed by PRISMA analysis. The keywords were Artificial Intelligence, convalescence phase, and tuberculosis. The data were filtered from Google Engine included from Google Scholar, ResearchGate, PubMed, and Semantic Scholar screened in the last 5 years (2018-2023), in English or Indonesian. The stages of document screening were adjusted to the PRISMA diagram, and were analyzed descriptively. Results: The study shows that the majority of AI studies discussed diagnosis (n=9 or 69.2%), only 3 documents (23.1%) discussed on TB treatment, and 1 document (7.7%) on monitoring. In conclusion, early identification of the recovery phase of TB patients is supported by previous researchers and can be done in the form of an application. Conclusions: Artificial intelligence in the TB eradication program has value especially if conducted integrated with other health programs.
Co-Authors Yuli Peristiowati