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THE ROLE OF ARTIFICIAL INTELLIGENCE IN MODERN
HEALTHCARE SYSTEM
Artificial intelligence (AI) in healthcare is rapidly expanding, changing how medical
professionals diagnose, treat, and manage patient care. AI’s role encompasses a wide
array of applications, from predictive analytics, which helps forecast epidemics, to
personal health virtual assistants that provide real-time medical advice. Machine
learning algorithms are improving diagnostic accuracy through advanced imaging
analysis and aiding in developing personalized medicine by analyzing genetic profiles
alongside medical histories. This technological shift is poised to enhance patient care
while also streamlining processes, leading to more targeted treatments and cost-
effective care.
HEREAFTER DETAILED LOOK AT THE ROLE
OF AI IN MODERN HEALTHCARE:
1. Improved Diagnostic Accuracy and Efficiency:
AI-powered tools can analyze medical images (X-
rays, CT scans, MRIs) to detect abnormalities like
tumors, fractures, and signs of neurological
disorders with greater accuracy and speed than
human radiologists.
AI algorithms can also analyze patient data from
various sources (medical history, genetic
information, etc.) to assist in diagnosing diseases
and developing personalized treatment plans.
AI can help automate and expedite diagnostic
processes, reducing the time and resources
needed to arrive at a diagnosis.