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All Journal Majalah Anestesia & Critical Care (MACC)
IB Krisna Jaya Sutawan
Department of Anesthesiology and Intensive Care, Prof Dr. IGNG Ngoerah General Hospital, Denpasar, Indonesia
Medicine & Pharmacology

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Machine Learning as Our Weapon to Become Anesthesiologist 5.0 Marilaeta Cindryani Ra Ratumasa; MA Kresna Sucandra; Tjahya Aryasa; IB Krisna Jaya Sutawan
Majalah Anestesia & Critical Care Vol 41 No 3 (2023): Oktober
Publisher : Perhimpunan Dokter Spesialis Anestesiologi dan Terapi Intensif (PERDATIN) / The Indonesian Society of Anesthesiology and Intensive Care (INSAIC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55497/majanestcricar.v41i3.319

Abstract

Machine learning is one of the most renowned things that have emerged in the last five years in medicine. The machine is made as if it has the cognitive ability to think independently, is able to distinguish incoming inputs and get the desired output. Along with the development of statistical and computer science, machine learning has evolved into a distinct subfield within the broader domain of data science, with far-reaching implications for various sectors, including healthcare. In medical science, technology and artificial intelligence are starting to take over anesthetic services. This paradigm shift necessitates a fundamental change in the role of future anesthesiologists A future anesthesiologist will need to continuously monitor and evaluate the performance of data science and artificial intelligence systems, and make adjustments when necessary to improve impact on patient care and outcomes. Anesthesiologists of the future will need to harness the power of data science and artificial intelligence to enhance patient care continually, emphasizing adaptability and collaboration as key elements in delivering improved healthcare outcomes.
Co-Authors MA Kresna Sucandra Marilaeta Cindryani Ra Ratumasa Tjahya Aryasa