Impacts of the advancement in artificial intelligence on laboratory medicine in low‐ and middle‐income countries: Challenges and recommendations—A literature review
Abstract Background and Aims Artificial intelligence (AI) has emerged as a transformative force in laboratory medicine, promising significant advancements in healthcare delivery. This study explores the potential impact of AI on diagnostics and patient management within the context of laboratory med...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
|
| Series: | Health Science Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/hsr2.1794 |
| _version_ | 1797331676176580608 |
|---|---|
| author | Malik Olatunde Oduoye Eeshal Fatima Muhammad Ali Muzammil Tirth Dave Hamza Irfan F. N. U. Fariha Andrew Marbell Samuel Chinonso Ubechu Godfred Yawson Scott Emmanuel Ebuka Elebesunu |
| author_facet | Malik Olatunde Oduoye Eeshal Fatima Muhammad Ali Muzammil Tirth Dave Hamza Irfan F. N. U. Fariha Andrew Marbell Samuel Chinonso Ubechu Godfred Yawson Scott Emmanuel Ebuka Elebesunu |
| author_sort | Malik Olatunde Oduoye |
| collection | DOAJ |
| description | Abstract Background and Aims Artificial intelligence (AI) has emerged as a transformative force in laboratory medicine, promising significant advancements in healthcare delivery. This study explores the potential impact of AI on diagnostics and patient management within the context of laboratory medicine, with a particular focus on low‐ and middle‐income countries (LMICs). Methods In writing this article, we conducted a thorough search of databases such as PubMed, ResearchGate, Web of Science, Scopus, and Google Scholar within 20 years. The study examines AI's capabilities, including learning, reasoning, and decision‐making, mirroring human cognitive processes. It highlights AI's adeptness at processing vast data sets, identifying patterns, and expediting the extraction of actionable insights, particularly in medical imaging interpretation and laboratory test data analysis. The research emphasizes the potential benefits of AI in early disease detection, therapeutic interventions, and personalized treatment strategies. Results In the realm of laboratory medicine, AI demonstrates remarkable precision in interpreting medical images such as radiography, computed tomography, and magnetic resonance imaging. Its predictive analytical capabilities extend to forecasting patient trajectories and informing personalized treatment strategies using comprehensive data sets comprising clinical outcomes, patient records, and laboratory results. The study underscores the significance of AI in addressing healthcare challenges, especially in resource‐constrained LMICs. Conclusion While acknowledging the profound impact of AI on laboratory medicine in LMICs, the study recognizes challenges such as inadequate data availability, digital infrastructure deficiencies, and ethical considerations. Successful implementation necessitates substantial investments in digital infrastructure, the establishment of data‐sharing networks, and the formulation of regulatory frameworks. The study concludes that collaborative efforts among stakeholders, including international organizations, governments, and nongovernmental entities, are crucial for overcoming obstacles and responsibly integrating AI into laboratory medicine in LMICs. A comprehensive, coordinated approach is essential for realizing AI's transformative potential and advancing health care in LMICs. |
| first_indexed | 2024-03-08T07:37:54Z |
| format | Article |
| id | doaj.art-30b04deb38a34cb1b246244060dbb9f1 |
| institution | Directory Open Access Journal |
| issn | 2398-8835 |
| language | English |
| last_indexed | 2024-03-08T07:37:54Z |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Health Science Reports |
| spelling | doaj.art-30b04deb38a34cb1b246244060dbb9f12024-02-02T18:04:59ZengWileyHealth Science Reports2398-88352024-01-0171n/an/a10.1002/hsr2.1794Impacts of the advancement in artificial intelligence on laboratory medicine in low‐ and middle‐income countries: Challenges and recommendations—A literature reviewMalik Olatunde Oduoye0Eeshal Fatima1Muhammad Ali Muzammil2Tirth Dave3Hamza Irfan4F. N. U. Fariha5Andrew Marbell6Samuel Chinonso Ubechu7Godfred Yawson Scott8Emmanuel Ebuka Elebesunu9Medical Research Circle Bukavu Democratic Republic of CongoServices Institute of Medical Sciences Lahore PakistanDow University of Health Sciences Karachi PakistanBukovinian State Medical University Chernivtsi UkraineShaikh Khalifa Bin Zayed Al Nahyan Medical and Dental College Lahore PakistanDow University of Health Sciences Karachi PakistanMédecins Sans Frontieres Maiduguri NigeriaSchool of Public Health Yale University New Haven Connecticut USADepartment of Medical Diagnostics Kwame Nkrumah University of Science and Technology Kumasi GhanaUniversity of Nigeria Enugu NigeriaAbstract Background and Aims Artificial intelligence (AI) has emerged as a transformative force in laboratory medicine, promising significant advancements in healthcare delivery. This study explores the potential impact of AI on diagnostics and patient management within the context of laboratory medicine, with a particular focus on low‐ and middle‐income countries (LMICs). Methods In writing this article, we conducted a thorough search of databases such as PubMed, ResearchGate, Web of Science, Scopus, and Google Scholar within 20 years. The study examines AI's capabilities, including learning, reasoning, and decision‐making, mirroring human cognitive processes. It highlights AI's adeptness at processing vast data sets, identifying patterns, and expediting the extraction of actionable insights, particularly in medical imaging interpretation and laboratory test data analysis. The research emphasizes the potential benefits of AI in early disease detection, therapeutic interventions, and personalized treatment strategies. Results In the realm of laboratory medicine, AI demonstrates remarkable precision in interpreting medical images such as radiography, computed tomography, and magnetic resonance imaging. Its predictive analytical capabilities extend to forecasting patient trajectories and informing personalized treatment strategies using comprehensive data sets comprising clinical outcomes, patient records, and laboratory results. The study underscores the significance of AI in addressing healthcare challenges, especially in resource‐constrained LMICs. Conclusion While acknowledging the profound impact of AI on laboratory medicine in LMICs, the study recognizes challenges such as inadequate data availability, digital infrastructure deficiencies, and ethical considerations. Successful implementation necessitates substantial investments in digital infrastructure, the establishment of data‐sharing networks, and the formulation of regulatory frameworks. The study concludes that collaborative efforts among stakeholders, including international organizations, governments, and nongovernmental entities, are crucial for overcoming obstacles and responsibly integrating AI into laboratory medicine in LMICs. A comprehensive, coordinated approach is essential for realizing AI's transformative potential and advancing health care in LMICs.https://doi.org/10.1002/hsr2.1794artificial intelligencelaboratory medicinelow‐ and middle‐income countries |
| spellingShingle | Malik Olatunde Oduoye Eeshal Fatima Muhammad Ali Muzammil Tirth Dave Hamza Irfan F. N. U. Fariha Andrew Marbell Samuel Chinonso Ubechu Godfred Yawson Scott Emmanuel Ebuka Elebesunu Impacts of the advancement in artificial intelligence on laboratory medicine in low‐ and middle‐income countries: Challenges and recommendations—A literature review Health Science Reports artificial intelligence laboratory medicine low‐ and middle‐income countries |
| title | Impacts of the advancement in artificial intelligence on laboratory medicine in low‐ and middle‐income countries: Challenges and recommendations—A literature review |
| title_full | Impacts of the advancement in artificial intelligence on laboratory medicine in low‐ and middle‐income countries: Challenges and recommendations—A literature review |
| title_fullStr | Impacts of the advancement in artificial intelligence on laboratory medicine in low‐ and middle‐income countries: Challenges and recommendations—A literature review |
| title_full_unstemmed | Impacts of the advancement in artificial intelligence on laboratory medicine in low‐ and middle‐income countries: Challenges and recommendations—A literature review |
| title_short | Impacts of the advancement in artificial intelligence on laboratory medicine in low‐ and middle‐income countries: Challenges and recommendations—A literature review |
| title_sort | impacts of the advancement in artificial intelligence on laboratory medicine in low and middle income countries challenges and recommendations a literature review |
| topic | artificial intelligence laboratory medicine low‐ and middle‐income countries |
| url | https://doi.org/10.1002/hsr2.1794 |
| work_keys_str_mv | AT malikolatundeoduoye impactsoftheadvancementinartificialintelligenceonlaboratorymedicineinlowandmiddleincomecountrieschallengesandrecommendationsaliteraturereview AT eeshalfatima impactsoftheadvancementinartificialintelligenceonlaboratorymedicineinlowandmiddleincomecountrieschallengesandrecommendationsaliteraturereview AT muhammadalimuzammil impactsoftheadvancementinartificialintelligenceonlaboratorymedicineinlowandmiddleincomecountrieschallengesandrecommendationsaliteraturereview AT tirthdave impactsoftheadvancementinartificialintelligenceonlaboratorymedicineinlowandmiddleincomecountrieschallengesandrecommendationsaliteraturereview AT hamzairfan impactsoftheadvancementinartificialintelligenceonlaboratorymedicineinlowandmiddleincomecountrieschallengesandrecommendationsaliteraturereview AT fnufariha impactsoftheadvancementinartificialintelligenceonlaboratorymedicineinlowandmiddleincomecountrieschallengesandrecommendationsaliteraturereview AT andrewmarbell impactsoftheadvancementinartificialintelligenceonlaboratorymedicineinlowandmiddleincomecountrieschallengesandrecommendationsaliteraturereview AT samuelchinonsoubechu impactsoftheadvancementinartificialintelligenceonlaboratorymedicineinlowandmiddleincomecountrieschallengesandrecommendationsaliteraturereview AT godfredyawsonscott impactsoftheadvancementinartificialintelligenceonlaboratorymedicineinlowandmiddleincomecountrieschallengesandrecommendationsaliteraturereview AT emmanuelebukaelebesunu impactsoftheadvancementinartificialintelligenceonlaboratorymedicineinlowandmiddleincomecountrieschallengesandrecommendationsaliteraturereview |