The Future of Gynecology and Artificial Intelligence at BKMC/MMC Mardan
DOI:
https://doi.org/10.70765/hvrs2939Keywords:
AI, GNEACOLOGY, FUTURE, MACHINES, ADVANCEMENTAbstract
automating routine tasks, and supporting clinical decision-making through predictive analytics. For example, machine learning algorithms are capable of identifying early signs of cervical cancer from imaging data with remarkable accuracy, allowing for earlier intervention and improved patient prognosis. Additionally, AI can personalize treatment plans based on patient-specific data, improving outcomes and optimizing resource allocation in our hospitals
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References
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