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Role of artificial intelligence in haemodynamic monitoring.
Myatra, Sheila N; Jagiasi, Bharat G; Singh, Neeraj P; Divatia, Jigeeshu V.
Afiliación
  • Myatra SN; Department of Anesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India.
  • Jagiasi BG; Director of Critical Care Department, Kokilaben Dhirubhai Ambani Hospital, Navi Mumbai, Maharashtra, India.
  • Singh NP; Department of Anesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India.
  • Divatia JV; Department of Anesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India.
Indian J Anaesth ; 68(1): 93-99, 2024 Jan.
Article en En | MEDLINE | ID: mdl-38406336
ABSTRACT
This narrative review explores the evolving role of artificial intelligence (AI) in haemodynamic monitoring, emphasising its potential to revolutionise patient care. The historical reliance on invasive procedures for haemodynamic assessments is contrasted with the emerging non-invasive AI-driven approaches that address limitations and risks associated with traditional methods. Developing the hypotension prediction index and introducing CircEWSTM and CircEWS-lite TM showcase AI's effectiveness in predicting and managing circulatory failure. The crucial aspects include the balance between AI and healthcare professionals, ethical considerations, and the need for regulatory frameworks. The use of AI in haemodynamic monitoring will keep growing with ongoing research, better technology, and teamwork. As we navigate these advancements, it is crucial to balance AI's power and healthcare professionals' essential role. Clinicians must continue to use their clinical acumen to ensure that patient outliers or system problems do not compromise the treatment of the condition and patient safety.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Indian J Anaesth Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: India
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Indian J Anaesth Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: India