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Hindi Machine Learning Intelligenceâs Use in the Field of Medicine
*Corresponding Author: Danna Papua, Department of Hematology, Inonu University Turgut Ozal Medical Center, Turkey, Email: Dannaapua23@gmail.comReceived Date: Mar 01, 2024 / Accepted Date: Mar 24, 2024 / Published Date: Mar 25, 2024
Citation: Papua D (2024) Machine Learning Intelligence’s Use in the Field ofMedicine. Arch Sci 8: 214.
Copyright: © 2024 Papua D. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.
Abstract
This research investigates the transformative impact of machine learning intelligence in the field of medicine, exploring its applications, benefits, and challenges. As healthcare continues to evolve, the integration of advanced machine learning algorithms offers unprecedented opportunities for personalized diagnosis, treatment optimization, and predictive healthcare analytics. The study examines diverse use cases, including image analysis, predictive modeling, and clinical decision support systems, showcasing the efficacy of machine learning in enhancing medical decision-making processes. Additionally, ethical considerations and challenges related to data privacy, interpretability, and implementation barriers are discussed. This research contributes valuable insights for healthcare professionals, researchers, and policymakers seeking to leverage machine learning intelligence for improved patient outcomes and healthcare system efficiency.
