Unlocking the Potential of Artificial Intelligence (AI) for Healthcare

Mack, Arien

doi:10.5772/intechopen.111489

Cited by 2 publications

References 48 publications

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Artificial Intelligence (AI) Applications for Point of Care Ultrasound (POCUS) in Low-Resource Settings: A Scoping Review

Kim,

Fischetti,

Guy

et al. 2024

Diagnostics

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Advancements in artificial intelligence (AI) for point-of-care ultrasound (POCUS) have ushered in new possibilities for medical diagnostics in low-resource settings. This review explores the current landscape of AI applications in POCUS across these environments, analyzing studies sourced from three databases—SCOPUS, PUBMED, and Google Scholars. Initially, 1196 records were identified, of which 1167 articles were excluded after a two-stage screening, leaving 29 unique studies for review. The majority of studies focused on deep learning algorithms to facilitate POCUS operations and interpretation in resource-constrained settings. Various types of low-resource settings were targeted, with a significant emphasis on low- and middle-income countries (LMICs), rural/remote areas, and emergency contexts. Notable limitations identified include challenges in generalizability, dataset availability, regional disparities in research, patient compliance, and ethical considerations. Additionally, the lack of standardization in POCUS devices, protocols, and algorithms emerged as a significant barrier to AI implementation. The diversity of POCUS AI applications in different domains (e.g., lung, hip, heart, etc.) illustrates the challenges of having to tailor to the specific needs of each application. By separating out the analysis by application area, researchers will better understand the distinct impacts and limitations of AI, aligning research and development efforts with the unique characteristics of each clinical condition. Despite these challenges, POCUS AI systems show promise in bridging gaps in healthcare delivery by aiding clinicians in low-resource settings. Future research endeavors should prioritize addressing the gaps identified in this review to enhance the feasibility and effectiveness of POCUS AI applications to improve healthcare outcomes in resource-constrained environments.

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Artificial Intelligence (AI) Applications for Point of Care Ultrasound (POCUS) in Low-Resource Settings: A Scoping Review

Kim,

Fischetti,

Guy

et al. 2024

Diagnostics

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Artificial Intelligence and Health in Africa

Ansah,

Ugo,

Aboagye

et al. 2024

Advances in IT Standards and Standardization Research

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As the application of artificial intelligence (AI) expands across various fields of practice including health its deployment, regulation, acceptability, preparedness challenges, and ethical concerns in Africa requires a critical look. The chapter's primary objective is to provide a comprehensive understanding of how AI can positively affect health outcomes in Africa. The authors explored the potential for AI to transform and improve healthcare in low-resource areas like Africa and reviewed the current state of how AI algorithms can be used to improve diagnostics, treatment, and disease monitoring, as well as how AI can help with pandemic preparedness. The chapter also highlights the challenges and ethical considerations that need to be addressed when deploying AI in Africa. The chapter concludes that AI is poised to assist countries in improving the quality of health service delivery through innovation using telemedicine-assisted approaches and that there is a need to deploy new technologies and share lessons and experiences among countries on the African continent to help improve healthcare in Africa.

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Unlocking the Potential of Artificial Intelligence (AI) for Healthcare

Cited by 2 publications

References 48 publications

Artificial Intelligence (AI) Applications for Point of Care Ultrasound (POCUS) in Low-Resource Settings: A Scoping Review

Artificial Intelligence (AI) Applications for Point of Care Ultrasound (POCUS) in Low-Resource Settings: A Scoping Review

Artificial Intelligence and Health in Africa

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