Emerging role of artificial intelligence in global health care

Alhussain, Ghadeer; Kelly, Alexandra; O'Flaherty, Ellerose I.; Quinn, Darragh P.; Flaherty, Gerard

doi:10.1016/j.hlpt.2022.100661

Cited by 9 publications

(6 citation statements)

References 8 publications

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“…The findings align with previous research, reinforcing AI's potential to enhance diagnostic precision and treatment accuracy through advanced machine learning algorithms. However, Significant obstacles still exist, including worries about data security, system compatibility, legal and moral problems, opposition to technological advances, and the need for thorough medical staff retraining [64].…”

Section: Discussionmentioning

confidence: 99%

“…AI's predictive capabilities can improve patient flow, staff allocation, and inventory management, resulting in faster and more cost-effective healthcare delivery [25]. That aligns with the broader goals of enhancing the healthcare system's sustainability and responsiveness to patient needs (64). To fully realize AI benefits, healthcare organizations must overcome the technical challenges its integration into existing IT systems, which require ongoing investment and strategic planning.…”

Section: Critique Of the Extant Literature To Identify The Future Of ...mentioning

confidence: 99%

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AI-Driven Healthcare in France

2024

IJFMR

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This integrative literature review (ILR) looks into the use of artificial intelligence (AI) technology in the French healthcare system, emphasizing personalized medicine and predictive health analytics. The study subject is the problematic integration of AI technologies, which is hampered by significant challenges, including data privacy concerns, system interoperability, ethical and legal issues, resistance to technological change, and the need for extensive training of healthcare professionals. These issues affect French healthcare professionals and politicians, who must overcome these challenges to utilize AI's potential fully. This research aims to investigate and assess the integration of AI into the French healthcare system, particularly in personalized medicine and predictive health analytics, to identify and address the obstacles and leverage the opportunities that improve patient care and operational efficiency. The ILR's guiding conceptual framework is based on three essential concepts: artificial intelligence, personalized medicine, and predictive healthcare analytics. The research methodology consists in thoroughly examining current literature, qualitative study of case studies, and interviews with industry professionals. The study's findings show that AI has tremendous potential to increase diagnostic precision and treatment accuracy in the French healthcare system. They highlight initiatives such as establishing specialized departments like "Intelligent Healthcare Services" and creating positions like "Intelligent Doctor". The conclusions address the potential implications of the findings for enhancing patient care and operational efficiency, as well as recommendations for further study and practice. These include performing longitudinal studies, looking into emerging data integrity solutions such as blockchain, and improving healthcare professional training programs. Ultimately, breaking down current obstacles and ensuring that AI technologies improve healthcare delivery and patient outcomes would make France a leader in AI-driven medical innovation.

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Section: Discussionmentioning

confidence: 99%

Section: Critique Of the Extant Literature To Identify The Future Of ...mentioning

confidence: 99%

AI-Driven Healthcare in France

2024

IJFMR

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“…The researchers demonstrate that the use of AI has the potential to speed up a country's progress toward achieving its sustainable development objectives (SDGs). It is possible to make use of computational models and machine learning in order to facilitate the digital identification and quantification of health problems in a particular country (Alhussain et al, 2022). According to research, there are numerous AI solutions that are specifically built to meet certain difficulties that are faced by global health systems.…”

Section: Figure 2 Stages Of Deployment Of Artificial Intelligence In ...mentioning

confidence: 99%

“…According to research, there are numerous AI solutions that are specifically built to meet certain difficulties that are faced by global health systems. Chatbots, for instance, may be used in hospitals to improve patient communication, and patients can utilize wearable technology to check their own vital signs (Alhussain et al, 2022). Additionally, issues with staffing may be overcome by keeping accurate health records and using clever pattern recognition procedures (Alhussain et al, 2022).…”

Section: Figure 2 Stages Of Deployment Of Artificial Intelligence In ...mentioning

confidence: 99%

“…Chatbots, for instance, may be used in hospitals to improve patient communication, and patients can utilize wearable technology to check their own vital signs (Alhussain et al, 2022). Additionally, issues with staffing may be overcome by keeping accurate health records and using clever pattern recognition procedures (Alhussain et al, 2022). The results demonstrate that artificial intelligence has the potential to speed up the Sustainable Development Goals (SDGs) attainment of a country.…”

Section: Figure 2 Stages Of Deployment Of Artificial Intelligence In ...mentioning

confidence: 99%

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The Contributions of Information and Communications Technology on the Sustainable Development of Artificial Intelligence in the Medical Field

Han¹

2023

JID

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This review provides an analysis and critique of current research on the uses of artificial intelligence in the medical field (AI). This chapter starts out by providing a definition of artificial intelligence from the perspective of communications research. As a consequence of this, it addresses recent advancements in AI as well as the influence that information and communications technology (ICT) has had on the use of AI in the medical field. In conclusion, it discusses the challenges that are impeding the industry's progress toward more advanced forms of artificial intelligence over the long term. The purpose of this study is to ascertain whether or not the incorporation of innovative information and communication technology (ICT) has a favorable effect on prospective applications of AI in the medical business. As a consequence of this, the review paper provides the conceptual groundwork for conducting an investigation into the ways in which AI and ICT are involved in the medical field.

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