Revolutionizing Care: The Role of Machine Learning in Modern Medicine
DOI:
https://doi.org/10.48001/978-81-966500-0-1-3Keywords:
Machine Learning (ML), Sensors, Imaging System, Remote Patient MonitoringAbstract
Machine learning (ML) is transforming healthcare by enhancing the accessibility, efficiency, and accuracy of medical procedures. As a branch of artificial intelligence, ML algorithms analyze data to make informed predictions and decisions. In diagnostic imaging, ML assists radiologists in interpreting CT, MRI, and X-ray images, identifying patterns and anomalies that may be missed by the human eye, improving early diagnosis of diseases like cancer and cardiovascular disorders. ML also plays a key role in personalized medicine by predicting individual responses to therapies, particularly in oncology, where genetic variations affect treatment outcomes. Additionally, ML accelerates drug discovery, reducing time and costs for new treatments. Beyond diagnosis and therapy, ML revolutionizes patient management through real-time monitoring of vital signs via wearable devices, enabling timely treatment of chronic conditions. It also helps optimize resource allocation and streamline administrative tasks, boosting healthcare system efficiency. However, ensuring accountability and transparency in ML models is crucial. Despite challenges, ML promises to revolutionize modern healthcare by improving diagnosis, tailoring treatments, and enhancing patient care.
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References
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