Screening for Early Detection and Clinical Decision-Making in Malaysia

Task

Choose one AI or Biomedical Engineering technology used in medicine today. In 1500–2000 words (5-7 pages) excluding front page and references, explain:

• The medical problem it addresses
• The type of patient data it uses
• How AI supports clinical decision-making
• One ethical or safety concern

Marking Criteria

Experts Answer on Above Question on Biomedical Engineering

AI technology in medicine – AI- assisted diabetic retinopathy screening

The medical problem it addresses – the damages to the blood vessels in the retina because of diabetes is regarded as diabetic retinopathy and it can result in blindness if it is not detected early. Diabetes is a major public concern in Malaysia and many people do not get adequate screening of their eyes. In such conditions, the role of AI assisted retinal screening can be significant in identifying the early signs of diabetic retinopathy and thereby early treatment can be possible to reduce any chances of blindness.

The type of patient data it uses

The AI system makes use of digital retinal fundus image, the patients demography such as age and gender, the history of diabetes, blood glucose level and previous records of eye examination. The AI performs detailed analysis to identify any kind of abnormalities such as retinal swelling.

How AI supports clinical decision making

It helps care professionals by providing them retinal images and also in identifying patients that have diabetic retinopathy. It also includes a complete risk assessment and also specifies any suspicious areas that require attention. The benefit of this AI tool includes faster screening of large numbers of patients, earlier detection, improved access to screening in rural communities, and better consistency in the areas of interpreting retinal images.

One ethical or safety concern

The ethical concern is in relation to Diagnostic accuracy because if the AI correctly classifies a patient as healthy in the presence of a disease, it would result in delay in the treatment, and thereby results in worsening vision and possible blindness.

This issue can be resolved by making sure that the AI responses are carefully reviewed by a qualified professional, regular validation of the system should be carried out using patient data, and continuous monitoring of AI performance to maintain quality control procedures is essential.

Want Detailed Answers with References?

The analysis above shows how AI technology can help in solving medical problems by utilising patient data and supporting clinical decisions. If you need a similar kind of analysis on biomedical engineering concepts, get in touch with our engineering experts for quality assignment help services in Malaysia.