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Innovation and challenges of artificial intelligence technology in personalized healthcare.
Li, Yu-Hao; Li, Yu-Lin; Wei, Mu-Yang; Li, Guang-Yu.
Afiliación
  • Li YH; International School, Beijing University of Posts and Telecommunications, Bei Jing, 100876, China.
  • Li YL; Department of Ophthalmology, The Second Norman Bethune Hospital of Jilin University, Changchun, 130000, China.
  • Wei MY; Department of Ophthalmology, The Second Norman Bethune Hospital of Jilin University, Changchun, 130000, China.
  • Li GY; Department of Ophthalmology, The Second Norman Bethune Hospital of Jilin University, Changchun, 130000, China. liguangyu@aliyun.com.
Sci Rep ; 14(1): 18994, 2024 08 16.
Article en En | MEDLINE | ID: mdl-39152194
ABSTRACT
As the burgeoning field of Artificial Intelligence (AI) continues to permeate the fabric of healthcare, particularly in the realms of patient surveillance and telemedicine, a transformative era beckons. This manuscript endeavors to unravel the intricacies of recent AI advancements and their profound implications for reconceptualizing the delivery of medical care. Through the introduction of innovative instruments such as virtual assistant chatbots, wearable monitoring devices, predictive analytic models, personalized treatment regimens, and automated appointment systems, AI is not only amplifying the quality of care but also empowering patients and fostering a more interactive dynamic between the patient and the healthcare provider. Yet, this progressive infiltration of AI into the healthcare sphere grapples with a plethora of challenges hitherto unseen. The exigent issues of data security and privacy, the specter of algorithmic bias, the requisite adaptability of regulatory frameworks, and the matter of patient acceptance and trust in AI solutions demand immediate and thoughtful resolution .The importance of establishing stringent and far-reaching policies, ensuring technological impartiality, and cultivating patient confidence is paramount to ensure that AI-driven enhancements in healthcare service provision remain both ethically sound and efficient. In conclusion, we advocate for an expansion of research efforts aimed at navigating the ethical complexities inherent to a technology-evolving landscape, catalyzing policy innovation, and devising AI applications that are not only clinically effective but also earn the trust of the patient populace. By melding expertise across disciplines, we stand at the threshold of an era wherein AI's role in healthcare is both ethically unimpeachable and conducive to elevating the global health quotient.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Telemedicina / Medicina de Precisión Límite: Humans Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Telemedicina / Medicina de Precisión Límite: Humans Idioma: En Revista: Sci Rep Año: 2024 Tipo del documento: Article País de afiliación: China