Why Artificial Intelligence in healthcare?

Why Artificial Intelligence in healthcare?

1. ArtificialIntelligence in
Healthcare
Lecturer: Mr. Muhammad Amjad Raza
Email: [email protected]
ْحَّرلا ِالله ِمْسِب ْيِحَّرلا ِنٰم ِم

2. Why AI in healthcare?
•Save time and improve efficiency
•Shortage of clinicians
•Improve patient outcomes
•Strengthen security

3. Why AI now?
•The perfect storm
•Tons of data (big data)
•Robust algorithms
•Processing power

4. Barriers to use of AI in healthcare
•Dirty data (data management has to happen first)
•Silo’d data
•Lack of infrastructure/data management plan
•DMP should be predicated on International Data Corporation (IDC) Third
Platform Principles, which are anchored by 4 areas
•Big Data & Analytics
•Cloud
•Mobile
•Social

5. AI & Healthcare- Types
•Robotic process automation (RPA): use of AI in computer
programs to automate administrative and clinical workflows;
improve patient experience
•Natural language processing (NLP): use of ML to understand
human language, verbal or written, and interpret documentation,
notes, reports, and published research

6. AI & Healthcare- Types
•Machine learning (ML): training algorithms using data sets, such
as health records, to create models capable of performing such
tasks as categorizing information or predicting outcomes.
•Deep learning: subset of artificial intelligence that involves greater
volumes of data, training times, and layers of ML algorithms to
produce neural networks capable of more complex tasks.

7. AI in Medical Imaging:
•AI-powered algorithms for the early detection of diseases like
cancer, heart disease, and neurological conditions.

8. Robotics and Surgery
•AI-controlled robots are assisting in precise surgical procedures.

9. Decision Support Systems
AI systems are guiding doctors in diagnosis and treatment decisions.

10. What is IoT in Healthcare?
•Internet of Things (IoT) refers to devices connected to the internet,
collecting and sharing data.

11. Benefits of IoT in Healthcare
•Real-time monitoring of patients.
•Remote care for patients with chronic diseases.
•Improved patient engagement and outcomes

12. IoT Devices in Healthcare

13. IoT Devices in Healthcare
•Wearables and Monitoring Devices:
•Smartwatches, ECG monitors, glucose meters, and sleep
trackers.
•Smart Hospitals and Equipment:
•IoT-enabled medical devices, such as infusion pumps, ventilators,
and smart beds.
•Remote Patient Monitoring:
•Devices sending real-time data to healthcare providers for timely
intervention.

14. AI in Diagnostics: A Game Changer
Revolutionising medicine with AI:
From early detection to precision care
AI and Early Diagnosis:
Machine learning algorithms are detecting diseases at early stages. AI-
powered diagnostic tools for imaging, lab results, and genetic data
analysis.

15. Reducing Diagnostic Errors
•AI systems improving the accuracy of diagnosis and reducing
human error.

16. Continuous Monitoring for Chronic
Conditions
• IoT devices providing data for diabetes, hypertension, and heart
disease management.

17. AI in Radiology
AI for Early Cancer Detection:
•Use of AI in detecting abnormalities in medical images (X-rays,
MRIs).
Impact on Diagnosis and Treatment:
•Case studies showing improved outcomes from AI-powered
diagnostic tools.

18. Questions?