Artificial Intelligence in Radiology in Pakistan; Pros and Cons: OAJBS Publishers

Artificial Intelligence in Radiology in Pakistan; Pros and Cons by Khurram Khaliq Bhinder* in Open Access Journal of Biomedical Science (OAJBS)

Artificial Intelligence (AI) is a computer-based software to analyze data (signs, symptoms, images etc.) with the machines in a way (algorithms) that can mimic the human cognitive functions to optimize problem solving [1]. Ever since the development of the Computer Assisted Detection (CAD), AI has come a long way. Machine learning (ML: linear algorithms) and Deep Learning (DL; Artificial neural connection inspired network) are the two major subsets employed in problem solving. In radiology AI has aided in a few different diagnoses that include more accurate detection of breast cancers (from 75.3%-85.8%) [2], classifying most common posterior fossa brain tumors (wait time from 40 minutes for pathology down to 3 minutes) [3], detection of neurodegenerative diseases (ALS, Alzheimer’s, Parkinson’s) in under 10 seconds, finding out hidden fractures [4] etc. The role of DL has specially been remarkable in Radiology [5].
https://biomedscis.com/fulltext/artificial-intelligence-in-radiology-in-pakistan-pros-and-cons.ID.000317.php

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