The document discusses the use of artificial intelligence in medicine. It provides examples of how AI is being used through devices like robots for transporting medical supplies, telepresence physicians for remote examinations, and AI assistants for neurosurgery and dermatology. The document also discusses the advantages of AI in medicine as well as challenges and ethical issues, such as responsibility for mistakes, job loss concerns, and data privacy. It concludes that AI has promising potential to improve healthcare but policies are needed to address ethical and financial issues.

1. How Artificial Intelligence Ai Assist In Medicine, An Example
Of Different Devices
Dr. Shazia Iqbal
Assistant Professor
Director of Medical Education Unit
VisionCollege of Medicine, Riyadh
siqbal@vision.edu.sa
View my Linkedin Profile
https://www.researchgate.net/profile/Shazia_Iqbal7
https://orcid.org/0000-0003-4890-5864

2. Objectives:
●Introduction
● history of Artificial intelligence
● AI in the medical field
● Example of AI in health care
● Advantages & Challenges and Ethical issues of AI
● AI Future
● Conclusion
● References

3. Robots are one of the first-born automated machines, develop to
perform various actions helping humans to complete various daily or
repetitive tasks in a short span of time.
And now using machine learning , robotics developers are
building AI robots that can better understand the various scenarios and
work more efficiently.
Introduction:

4. The term "Artificial Intelligence" ( AI ) is used to
describe machines that mimic "cognitive" functions
that humans associate with other human minds,
such as "learning" and "problem solving".
Terminology:

5. Artificial intelligence (AI) was first described in
1950; however, several limitations in early
models prevented widespread acceptance and
application to medicine. In the early 2000s, many
of these limitations were overcome by the advent
of deep learning
History:

6. Now that AI systems are capable of analyzing
complex algorithms and self-learning, we enter
a new age in medicine where AI can be applied
to clinical practice through risk assessment
models, improving diagnostic accuracy and
workflow efficiency.
History:

8. AI In The Medical Field

10. AI Robots & Drones are used in Coronavirus
Control:
AI integrated into the various systems, machines
and devices are making the healthcare system
more automated with an acceptable level of
accuracy.
And if machine learning engineers and data
scientists use more quality healthcare data to
develop such AI models, it would become easier
to predict or combat with such deadly diseases

11. AI Robots & Drones are used
in Coronavirus Control:

12. Robots for Transporting the Medical
Supplies:
Medical supplies and other essential items used
in hospitals, or medical centers can be now
supplied by these trained robots. Actually, robots
can be developed with self-navigation technology
, to move in the hospital premises to reach a
patient’s room or other places without human
help.

13. Robots for Transporting the Medical
Supplies:

14. Telepresence Physicians:
Telepresence physicians —
a kind of virtual reality physician is also used to examine and
treat patients from remote locations or rural areas.
Robots with Telepresence can provide the feeling of getting
consulted with a real doctor, making the two-way
communication possible among them.

15. Telepresence Physicians:

16. AI in radiology:
artificial intelligence in radiology is a tool, not a sentient
being. It is an investment into technology that allows for
ongoing improvements to diagnosis and patient care by
supporting the radiologist as they battle increasingly
weighty workloads

17. AI in radiology:

19. AI Assistant in Neurosurgery

20. AI in Dermatology

21. Artificial Intelligence Advantages:
 Improved accessibility
 Early diagnosis
 Increased speed and reduced costs
 Unique assistance in surgery
 Support human abilities and mental health

22.  Unavailable digitization of patients’ records (EHRs)
 Pre-operative planning,
 High costs
 New concepts
 Lack of internet facility at all conditions
 Lack of Governmental strategies
 Safety concerns
 Who will be responsible for harm caused by AI mistakes
 Fear of losing jobs
 Informed consent to use
 Safety and transparency
 Algorithmic fairness and biases
 Data privacy
Challenges & Ethical issues of AI

23. Physicians are afraid of dehumanization of medicine!
But the smart AI is supporting the doctors not replacing them .
So, we need to conduct more research concern about performance of the
doctors who use advantages of AI and the doctors not using it.
Will Doctors Be Replaced by Artificial Intelligence?

24. Conclusion:
The implementation of artificial intelligence in clinical practice is a promising area
of development, that rapidly evolves together with the other modern fields of
precision medicine, genomics and teleconsultation. While scientific progress
should remain rigorous and transparent in developing new solutions to improve
modern healthcare, health policies should now be focused on tackling the ethical
and financial issues associated with this cornerstone of the evolution of medicine.

25. References:
o https://medium.com/vsinghbisen/how-ai-robotics-is-used-in-healthcare-types-of-medical-robotics-ca01637fcca6
o https://www.sciencedirect.com/science/article/pii/S0016510720344667
o https://www.tristatetechnology.com/blog/artificial-intelligence-in-healthcare-top-benefits-risks-and-challenges/
o https://www.unescap.org/sites/default/files/ESCAP_Artificial_Intelligence.pdf
o https://www.slideshare.net/KajolDahal1/artificial-intelligence-in-health?from_action=save
o https://builtin.com/artificial-intelligence/artificial-intelligence-healthcare
o https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332220/
o https://www.tsijournals.com/articles/role-of-artificial-intelligence-in-health-care-13471.html
o https://en.wikipedia.org/wiki/Artificial_intelligence_in_healthcare