Dr. Abdulhamit Subasi, an Associate Professor in the Department of Information Sciences and Technology at CEHC, University at Albany, is a leading expert in the field of Artificial Intelligence and Machine Learning. He leads the AI4HEALTH Lab and has contributed significantly to developing AI models for healthcare. With over 50 book chapters and more than 220 journal and conference papers, Dr. Subasi's work is at the forefront of AI in healthcare.
Professor Subasi presented the capabilities and innovations within AI systems for extracting useful information from a vast population of patients. In his presentation, Professor Subasi explained how modern AI systems can help recognize patterns and key information from large datasets, significantly improving medical diagnostics and treatment.
Additionally, the professor introduced the concept of multimodal AI, which involves using multiple types of data (such as text, images, sound, and others) to enhance the accuracy and efficiency of AI models. This technology allows for a more comprehensive approach to data analysis by integrating information from various sources, leading to more precise and reliable results.📄🔊🩻
A special part of the lecture was dedicated to the advantages and usage of Digital Twins in biomedicine. Digital Twins are virtual replicas of physical entities, and in medicine, they are used for the simulation and analysis of patients’ health conditions. Professor Subasi explained how Digital Twins can aid in personalizing therapies, predicting treatment outcomes, and improving the overall quality of healthcare, thereby opening new possibilities for advancements in biomedicine.💊
