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Advancing healthcare: the role and impact of AI and foundation models.
Mahesh, Nandhini; Devishamani, Chitralekha S; Raghu, Keerthana; Mahalingam, Maanasi; Bysani, Pragathi; Chakravarthy, Arjun V; Raman, Rajiv.
Afiliación
  • Mahesh N; Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Medical Research Foundation Chennai, Tamil Nadu, India.
  • Devishamani CS; Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Medical Research Foundation Chennai, Tamil Nadu, India.
  • Raghu K; Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Medical Research Foundation Chennai, Tamil Nadu, India.
  • Mahalingam M; Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Medical Research Foundation Chennai, Tamil Nadu, India.
  • Bysani P; Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Medical Research Foundation Chennai, Tamil Nadu, India.
  • Chakravarthy AV; Archbishop Mitty High School, High School San Jose, California, USA.
  • Raman R; Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Medical Research Foundation Chennai, Tamil Nadu, India.
Am J Transl Res ; 16(6): 2166-2179, 2024.
Article en En | MEDLINE | ID: mdl-39006256
ABSTRACT

BACKGROUND:

The integration of artificial intelligence (AI) into the healthcare domain is a monumental shift with profound implications for diagnostics, medical interventions, and the overall structure of healthcare systems.

PURPOSE:

This study explores the transformative journey of foundation AI models in healthcare, shedding light on the challenges, ethical considerations, and vast potential they hold for improving patient outcome and system efficiency. Notably, in this investigation we observe a relatively slow adoption of AI within the public sector of healthcare. The evolution of AI in healthcare is un-paralleled, especially its prowess in revolutionizing diagnostic processes.

RESULTS:

This research showcases how these foundational models can unravel hidden patterns within complex medical datasets. The impact of AI reverberates through medical interventions, encompassing pathology, imaging, genomics, and personalized healthcare, positioning AI as a cornerstone in the quest for precision medicine. The paper delves into the applications of generative AI models in critical facets of healthcare, including decision support, medical imaging, and the prediction of protein structures. The study meticulously evaluates various AI models, such as transfer learning, RNN, autoencoders, and their roles in the healthcare landscape. A pioneering concept introduced in this exploration is that of General Medical AI (GMAI), advocating for the development of reusable and flexible AI models.

CONCLUSION:

The review article discusses how AI can revolutionize healthcare by stressing the significance of transparency, fairness and accountability, in AI applications regarding patient data privacy and biases. By tackling these issues and suggesting a governance structure the article adds to the conversation about AI integration in healthcare environments.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Transl Res Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Am J Transl Res Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Estados Unidos