Revolutionizing Healthcare with Generative AI: Enhancing Patient Care, Disease Research, and Early Intervention Strategies
DOI:
https://doi.org/10.69980/ajpr.v28i1.70Keywords:
Lifestyle Diseases, Insufficient Exercise, Unhealthy Diets, Diabetes, High Blood Pressure, Machine Learning, Deep Learning, AI Accelerators, Healthcare Transformation, Medical Data Interpretation, AI in Medicine, AI Hardware, AI Acceleration, Rapid Disease Detection, Genomics, Patient Condition Prediction, Bioinformatics, R&D Requirements, Healthcare Specialists, AI ImpactAbstract
With the rise of lifestyle diseases, primarily due to insufficient exercise and unhealthy diets, diseases such as diabetes and high blood pressure have become common in contemporary society. Advances in machine learning, deep learning, and accelerators for such learning have brought many changes to healthcare. Among the major changes is the way doctors practice the art of medicine. The doctor's struggle to collect and interpret data is partially replaced, as the necessary information is directly provided by AI. This text examines the relationship between healthcare and AI, outlines the current prospects of AI in healthcare services, focuses on the hardware required for AI in healthcare, and describes the acceleration of AI hardware for healthcare. Our contributions also extend to presenting R&D requirements to leverage solutions toward the efficient implementation of AI in healthcare, with a focus on rapid disease detection, understanding the genomics of diseases, predicting complex patient conditions, and bioinformatics. This content might play a major role in the community and guide healthcare specialists in better understanding the importance and the impact of AI in healthcare while providing a roadmap that might include disease research, patient care, and services evolution among implications, ensuring possible experimental evidence for the dynamism of the illustrated functions.
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