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Why Artificial Intelligence in healthcare?
Why Artificial Intelligence in healthcare?
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Why Artificial Intelligence in healthcare?
- 1. Artificial Intelligence in Healthcare Lecturer:Mr. Muhammad Amjad Raza Email: amjad.raza@cs.uol.edu.pk ْحَّالر ِهللا ِمْسِب ْي ِحَّالر ِن ٰم ِم
- 2. Why AI inhealthcare? • 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 useof 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 MedicalImaging: • 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 AIsystems are guiding doctors in diagnosis and treatment decisions.
- 10. What is IoTin Healthcare? • Internet of Things (IoT) refers to devices connected to the internet, collecting and sharing data.
- 11. Benefits of IoTin Healthcare • Real-time monitoring of patients. • Remote care for patients with chronic diseases. • Improved patient engagement and outcomes
- 12. IoT Devices inHealthcare
- 13. IoT Devices inHealthcare • 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 forChronic Conditions • IoT devices providing data for diabetes, hypertension, and heart disease management.
- 17. AI in Radiology AIfor 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.
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