THE ROLE OF ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSIS AND TREATMENT

Authors

  • DR. D KALIDOSS ASSOCIATE PROFESSOR, KALINGA UNIVERSITY, RAIPUR, INDIA.
  • NEETISH KUMAR ASSISTANT PROFESSOR, DEPARTMENT OF PHARMACY, KALINGA UNIVERSITY, RAIPUR, India.
  • MONIKA NIJHAWAN ASSISTANT PROFESSOR, NEW DELHI INSTITUTE OF MANAGEMENT, NEW DELHI, INDIA.

Keywords:

develop personalized, treatment plans, enhance patient

Abstract

It is quite good at gathering homogeneous data from large amounts of data and can learn from any type of input, including photos, videos, and numbers.  Learning data can provide you the background knowledge you need to look into and find pertinent information.  Pre-screening for human diseases to extend life expectancy is a major challenge for the medical business today.  Pre-screening is used in many medical applications, including as the automatic diagnosis and identification of MRI brain tumors, the detection of breast and lung cancers, and diabetic retinopathy.  Selecting the right image processing methods is crucial for autonomous learning and information extraction.Techniques from artificial intelligence can effectively and efficiently offer more generic answers for a variety of significant issues.  Through the use of artificial intelligence tools, computers can mimic human intelligence.  Additionally, a physician's job is made more difficult by the abundance of factors accessible for analysis and diagnosis.  An expert's best bet for identifying all the risk elements and displaying specific outcomes in ambiguous words will be an accurate tool.

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How to Cite

KALIDOSS, D. D., KUMAR, N., & NIJHAWAN, M. (2025). THE ROLE OF ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSIS AND TREATMENT. TPM – Testing, Psychometrics, Methodology in Applied Psychology, 32(S3(2025) : Posted 07 July), 579–586. Retrieved from https://tpmap.org/submission/index.php/tpm/article/view/501