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Author(s):

Shweta Mandavkar
Keywords:

Artificial Intelligence, Medical Imaging, MRI, CT Scan, X-Ray, Deep Learning, CNN
Abstract:
In Healthcare Sector ,specially In The Field Of Medical Imaging ,Artifical Intelligence (AI) Is Bringing Significant Changes. Imaging Methods Like CT Scans, X-rays, And MRIs Produce Large Volumes Of Visual Information That Require Accurate Interpretation For Proper Diagnosis. Traditionally, Radiologists Manually Analyze These Images, Which Can Be Time-intensive And Susceptible To Errors. AI Technologies—especially Deep Learning And Convolutional Neural Networks (CNNs)—are Now Being Used To Automate This Process, Improving Diagnostic Precision And Reducing The Time Needed For Analysis. This Study Explores The Growing Role Of AI In Interpreting Medical Images, With A Focus On Its Impact On CT Scans, X-rays, And MRI Evaluations. It Highlights Major Technological Developments, Clinical Case Studies, And AI's Effectiveness In Identifying Issues Such As Tumors, Bone Fractures, Lung Infections, And Brain-related Disorders. The Paper Also Discusses Challenges Such As Data Reliability, Algorithmic Transparency, And Regulatory Limitations In Clinical Practice. Ultimately, The Research Emphasizes That AI Serves As A Supportive Tool For Radiologists, Enhancing Decision-making And Patient Care, Rather Than Replacing Human Judgment. The Paper Outlines Present-day Applications, Existing Obstacles, And Potential Future Directions For AI In This Domain.