ARTIFICIAL INTELLIGENCE AND THE MEDICAL APPLICATIONS POWER POINT (fnsh).pptx

The presentation is about the application of AI in medicine and the latest innovations in the field.

1. Artificial Intelligence and Its Medical Applications By Efe Precious Onakpojeruo Department of Biomedical Engineering, Near East University Nicosia, 2022 .

2. What’s in for you Introduction What is ML Relationship between Artificial Intelligence (AI)/Machine Learning (ML)/Deep Learning (DL) ML Terminologies ML chart ML Algorithms Applications of ML

3. Introduction What is Artificial intelligence? “ It is the intelligence exhibited or displayed by machines ” Web search Content Recommendations Targeted Advertising Map Language Translator

4. General Applications Autonomous Vehicles (Tesla) Vehicle Shutdown System that Monitor Drivers' Heartbeats Products Recommendation

5. What is Machine Learning? Machine learning is a subset of AI that uses data and algorithms to perform tasks without being explicitly programmed Its application include; Traffic alerts Self-driving car Google translate Fraud detection Social media Virtual personal assistant Transportation and communication Product recommendation Autocorrects on phones etc.

6. Relationship between AI/ML/DL AI mimic human intelligence by using logic ML is a subset of AI where machines can automatically learn and improve from experience without being explicitly programmed. DL is a subset of ML where machines mimic human intelligence using neural networks.

7. Relationship between AI/ML/DL

8. Terminologies in Machine learning Algorithms Model Supervised learning Unsupervised learning classification Regression Transfer learning Artificial Neural Network (ANN) or Neural Network Label Feature Feature extraction Feature selection Feature scaling

9. Machine Learning Chart

10. ML Algorithms Classification Algorithms Logistic regression Support Vector Machine (SVM) Random Forest Decision Tree Naïve Bayes K-Nearest Neighbor Stochastic Gradient Descent (SDG) Regression Algorithms Linear Regression Lasso Regression Logistic Regression Support Vector Machine (SVM)

11. Workflow Of An AI Solution

12. AI Medical Applications Patient diagnosis Patient prognosis Drug discovery Bot assistant that can translate languages Transcribe notes, and organize images and files.

13. Patient Diagnosis

14. Patient Prognosis Detecting diabetic eye disease with ML High sensitivity and specificity for detecting referable diabetic retinopathy.   Automated grading of diabetic retinopathy leading to increased efficiency in diagnosing many patients in shorter time Serving as a second opinion ophthalmologist; Detection of diabetic retinopathy in early stages due to the capability of the model to study images at the granular level-something impossible for a human ophthalmologist to do; Vast coverage of screening programs reducing barriers to access.

15. Drug Discovery Verge Genomics focuses on using machine-learning algorithms to examine human genomic data and find cost-effective medications to treat neurological illnesses like Parkinson's, Alzheimer's, and amyotrophic lateral sclerosis (ALS).

16. Search several scheduling systems across different hospitals to find which physicians are on call and schedule the next available appointment. Answering inquiries about prescriptions, such as drug availability and cost-effective alternatives. Assisting doctors to search hospital protocol, list of available clinical tools, and available drugs, thus improving workflow in the hospital.

17. THANK YOU