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The ongoing technological transformation, driven by rapid advancements in machine learning (ML), holds the potential to profoundly impact our lives and redefine the essence of humanity. Recent years have witnessed significant progress in ML, fuelled by the widespread adoption of artificial intelligence (AI) due to machines' capacity for large-scale data processing and management. The intersection of ML and healthcare encompasses both computer science along with medical science. Within medical science, ML techniques have enabled the examination of complex medical data, marking a significant advancement. In the healthcare industry, ML functions as the cognitive and knowledge counterpart of healthcare professionals. This paper explores the benefits of ML-based solutions and their applications in healthcare, emphasizing their role in automating data analysis for patients' health records along with making predictions per the extracted insights. The integration of ML in healthcare promises transformative outcomes, shaping the future of medical diagnostics and decision-making.
Kannan Vishwanatth (Mon,) studied this question.