AI Assignment (Topic: AI in Healthcare, Transforming Patient Care)

Hello everyone, my name is Mohan Hamza and I'm a student at University of West London. My student ID is 21600969 and I'm currently pursuing Bachelor of Science in Computer Science. So today my topic is about AI in healthcare transforming patient care. So this presentation will explore how AI is revolutionizing patient care focusing on its functionalities Let's get started. So an overview of AI in healthcare enhances how care is delivered through three functionalities. First, predictive diagnostic. Second, personalized treatment plans and third operational efficiencies. Now the three key functionalities or applications. The first one, predictive diagnostic. For example, AI can analyze medical genetic medical genetic data to predict Alzheimer's diseases years before symptoms appear, giving patients an early advantage for intervention. Now the second is personalized treatment plans. AI tailors treatment based on individual data. In cancer care for instance, AI analyzes genetic profiles to recommend therapies most effective for the patient. The third, operational efficiencies. Now AI hospital workflows by predicting ambulance demand and managing patient flow, ensuring timely care and efficient resource use. Now for a demonstration, imagine a scenario where AI potential disease recommends precise treatment and ensures hospital resources are efficiently allocated all in real time. These capabilities showcase how AI's transformation brought potential in healthcare. So in the next slide, evolution and impact of AI technology. Evolution AI in healthcare has involved significantly starting with basic decision tools and advancing to deep learning models. So capabilities of diagnosing diseases like cancer and diabetic retinopathic. Major milestones include integration of AI into radiology and the development of natural language processing system for analyzing medical records. What impact happened? The societal implications are profound. AI reduces diagnostic errors, improves accessibility and lowers healthcare costs. And the future prospects or the trajectory looking ahead, AI is expected to further integrate with robotics for surgery and wearable technologies for continuous health monitoring. However, challenges such as data privacy and algorithm bias and ethical concerns must be addressed to ensure equitable and responsible use. To conclude, AI is truly transforming healthcare by enabling earlier diagnosing, personalized care and optional excellence. Understanding these technologies is truly crucial as it shapes the future of patient healthcare and global healthcare delivery. Thank you for listening.