Lecture_2_AI_Applications_Healthcare_Updated.pptx

Lecture_2_AI_Applications_Healthcare_Updated.pptx

• 1.
  Applications of Artificial Intelligence– Part 1
• 2.
  Introduction to AIApplications • Artificial Intelligence is being adopted across numerous sectors to solve complex problems and enhance efficiency. • Major sectors of AI application include: • - Healthcare • - Finance • - Transportation • - Customer Service
• 3.
  Why Healthcare NeedsAI • - Rapid increase in patient data • - Shortage of medical professionals • - Need for early diagnosis • - Personalized medicine demands • AI offers intelligent solutions to analyze, predict, and recommend actions in real time.
• 4.
  AI in Diagnosis •AI helps in: • - Detecting diseases from symptoms and reports • - Identifying tumors in medical scans • - Predicting disease outbreaks • Example: Google's DeepMind detects over 50 eye diseases with high accuracy using retinal scans.
• 5.
  AI in TreatmentPlanning • - AI assists doctors in choosing optimal treatments. • - Recommends drug dosage based on patient data. • - Supports robotic surgery with precision guidance. • Example: IBM Watson for Oncology suggests evidence-based treatment options for cancer.
• 6.
  AI in MedicalImaging • - AI algorithms analyze X-rays, MRIs, and CT scans. • - Helps radiologists detect anomalies faster. • Benefits: • - Early detection of cancer • - Reduction in human error • Example: Aidoc and Zebra Medical Vision
• 7.
  Real-World Tools • -DeepMind Health – Eye and kidney disease diagnosis • - PathAI – Detects cancer in biopsy images • - Tempus – Personalized treatment using genetic data
• 8.
  Visual Example (OptionalDemo Slide) • Image: AI detecting pneumonia in chest X-ray using deep learning • (Add annotated image if presenting visually)
• 9.
  Quick Quiz • 1.Which of these is NOT an application of AI in healthcare? • A. Traffic optimization • B. Tumor detection in X-rays • C. Personalized treatment • D. Disease outbreak prediction • Answer: A • 2. Which AI system is used for cancer
• 10.
  Summary • - AIis transforming healthcare • - Helps in diagnosis, treatment, and imaging • - Real-world tools are already in use • - Improves speed, accuracy, and outcomes
• 11.
  Next Lecture Preview •Coming Up in Lecture 3: • AI in Finance: Fraud Detection, Algorithmic Trading, Risk Management
• 12.
  Thank You • Questionsor discussions welcome!