Revolutionizing Healthcare
Augmenting AI to Enhance Diagnostic Precision and Clinical Integration
DOI:
https://doi.org/10.58445/rars.1583Keywords:
ai, healthcare, medicineAbstract
Achieving an accurate and timely diagnosis is critical to effective healthcare delivery and positive patient outcomes, yet has remained a significant problem throughout the history of medicine. This research paper will delve into how AI can fix this issue, marking the beginning of the evolution of healthcare. Analysis of previous data demonstrated that the use of machine learning and large language models in healthcare was associated with more accurate diagnostic results, as intended. The results indicate that with the aid of AI, the efficiency, accuracy, and overall quality of healthcare delivery can be significantly elevated. Moreover, the adoption of AI-driven diagnostics could reduce the burden on healthcare professionals, streamline clinical workflows, and enable more personalized treatment plans, ultimately transforming patient care and fostering innovation in medical practices.
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