Role of AI in healthcare
Artificial intelligence (AI) can help healthcare providers make better and faster decisions by recognizing health complications more accurately than the human brain
2. Overview of AI in Health Care
(By Zohaib)
1) Introduction
2) Benefits of AI
3) Challenges of AI
4) Examples of AI
5) Application Ethical Consideration
3. Introduction
• Artificial Intelligence in Healthcare is
used to analyze the treatment
techniques of various diseases and to
prevent them. AI is used in various
areas of healthcare such as diagnosis
processes, drug research sector,
medicine, patient monitoring care
centre, etc.
4. • The company Zebra Medical
Vision developed a new
platform called
Profound, that is able to find
every sign of potential
conditions such as
osteoporosis, breast cancer,
aortic aneurysms and many
more with a 90 percent
accuracy rate.
5. Benefits and Challenges
(By Urooj)
Benefits
• Ability to analyze data and
improve diagnosis
• Better patients care
• Improve work load and reduce
staff stress
• Support administrative task
Challenges
• Training complications
• Risk of creating
unemployment
• Still required human input
• Increase security risk ( Robot
Movie)
6. Examples of AI in Healthcare
(By Tooba)
1. AI-assisted robotic surgery (One study that involved 379
orthopedic patients found that AI-assisted robotic procedure resulted in five
times fewer complications compared to surgeons operating alone.)
2. Virtual Nursing Assistants (Virtual nursing assistants could save
the healthcare industry $20 billion annually. Since virtual nurses are available
24/7, they can answer questions, monitor patients and provide quick answers.)
3. Drug Discovery (The drug development industry is bogged down by
skyrocketing development costs and research that takes thousands of human hours. Putting
each drug through clinical trials costs an estimated average of $1.3 billion, and only 10
percent of those drugs are successfully brought to market.)
7. Examples of AI in Healthcare
(By Tooba)
4. Personalized Medicine
5. Remote Patients Monitoring
(Glucose meters for patients with diabetes and Heart rate or blood pressure monitors)
6. AI Chatbots (AI chatbots, which can review a patient's symptoms and suggest next
steps, such as an in-person follow-up where necessary.)
7. Medical Imaging ( AI can analyze medical imaging such as X-rays, MRI’s and CT
scan to assist radiologist in detecting abnormalities and making accurate diagnosis.
8. Virtual assistants like Siri (Siri is the digital assistant of Apple) and
Alexa (Amazon Alexa, also known simply as Alexa, is a virtual
assistant technology).