Узбекистон республикаси соғЛИҚни сақлаш вазирлиги тошкент тиббиёт академияси

Improved Physical Task Performance

Experiments have shown that in medical, the candidates who were subjected to AR-based learning were better able to perform the physical task in surgery.

This is because they are better able to transfer the learnings to the actual cadavers. Also, the task was performed with higher accuracy.

Reduction in Teaching Hours

With the capability to teach and visualise students directly in 3D rather than teaching in 2D and then imagining it in 3D. This also leads to imagination error. On the other hand, 3D models in AR provide direct visual of the body part.

Leung in 2006, published in his newspaper that Gross Anatomy Teaching Time is going down in the US. (Iqbal, 2016) The data were

as follows:

S.no	Year	Mean Teaching Time(Hours)
1	1902	549
2	1955	330
3	1991	190
4	1997	167
5	2000	48

Figure 15: Anatomy Teaching Duration (Iqbal, 2016)


Analysis of AI Application in Covid-19 War on the basis of Case Studies

Covid-19 is the world’s largest healthcare crisis in 21^st century. In the current situation, AI is being used on and off field. From virus detection technologies to medicine production, AI is being used in following field:

Virus Research

The virus has been changing patterns and the appropriate types is still a mystry as it is completely new to the world. But this is where scientists are not giving up. Technology at such places play important role.
Deepmind, Google owned AI firm, is using Machine Learning to predict the protein structure of coronavirus. This gives scope of better understanding on what can be the symptoms or how virus will evolve and how we are going to detect or control it.

Case Study:
Mumbai based students of college DY Patil, have developed voice based diagnosis of Covid patients. THey have used Artificial Intelligence to differentiate the voice of Covid infected and non infected. The tool is now tested by Tor Vergata, the university in Rome.
It will be helpful for pre testing.

Controlled Decisions

When the corona outbreak happened, the only option to control was to stop the spread as no medication was available.
Using datasets and ML, decisions are being made for the execution pattern of Public Policies like lockdown. Timings and phase of lockdown depends on the mobility of huge public datasets assessed by emerging technologies.