Need for Computerized Automated Machine (CAM) for finding THR issues in Patients
Sandhya Tatekalva1, M.Usha Rani2

1Dr. Sandhya Tatekalva, Academic Consultant, Department of Computer Science, S.V. University, Tirupati, Andhra Pradesh, India.

2Prof. M. Usha Rani, Professor, Department of Computer Science, Sri Padmavati Mahila Visva Vidyalayam, Tirupati, Andhra Pradesh, India. 

Manuscript received on 15 May 2019 | Revised Manuscript received on 22 May 2019 | Manuscript Published on 10 July 2019 | PP: 220-225 | Volume-8 Issue-7C2 May 2019 | Retrieval Number: G10510587C219/19©BEIESP

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (

Abstract: Over time within the overwhelming majority of cases, total hip replacement permits individuals to measure a lot of active lives while not enfeebling hip pain. [34]. In due course, however, a hip replacement can fail due to various factors. To reliably identify the signs of joint instability from Radiographs in those who have undergone Total Hip Replacement by means of Image Recognition algorithms to help monitor long term fate of the implant. Patient attrition at year two of the follow-up is very high, the main reason being easy accessibility to high quality health care. A CAM would help in screening patients who may need further intervention.

Keywords: Computerized Automated Machine, Automated Machine, Finding THR Issues, Issues in THR Patients.
Scope of the Article: Computer Science and Its Applications