Session: Internet of Medical Things (IoMT): The Future of Healthcare
The internet of medical devices, health systems, and software applications (IoMT) is a network of internet-connected medical equipment, health systems, and software applications meant to increase efficiency, lower healthcare costs, and ensure better medical results. Wearable gadgets and stand-alone equipment are examples of IoMT technologies that can help with remote patient monitoring, which is becoming more important as telehealth grows. IoMT is a unique and advanced infrastructure that is representative of the future of medicine when combined with patient data.
Medical practitioners and the patients they serve are increasingly embracing and adopting IoMT technologies. The demand for internet-connected medical devices that can gather, analyse, and transmit medical data and images to healthcare provider networks is continuing to rise. The information might be transferred and stored on internal servers.
In the area of healthcare, the prospects of IoMT are exciting. The healthcare business should expect fewer errors, more accurate diagnoses, and lower healthcare costs as internet technology in medical equipment evolve.
This session will cover the introduction of IoMTs and then introduce an architecture of IoMTs. Further, several emerging technologies such as Blockchain, Artificial Intelligence (AI), and Software-Defined Networking (SDN) will be discussed and several challenges in e-healthcare such as security, privacy, performance and accuracy will be highlighted.
Bio
Prof.Tanzila Saba earned her PhD in document information security and management from the Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia, in 2012. She won the best student award in the Faculty of Computing UTM for 2012. Currently, she serves as Research Professor and Associate Chair of the Information Systems Department in the College of Computer and Information Sciences Prince Sultan University Riyadh KSA. Her primary research focus in recent years is medical imaging, pattern recognition, data mining, MRI analysis, and Soft-computing. She led more than fifteen research funded projects. She has above three hundred research publications that have around 9482 citations with an h-index 61. Her most publications are in biomedical research published in ISI/SCIE indexed. Due to her excellent research achievement, she is included in Marquis Who’s Who (S & T) 2012.” She is an editor and reviewer of reputed journals and on the panel of TPC of international conferences. She is a senior member of IEEE. Prof.Tanzila is the leader of the Artificial Intelligence & Data Analytics Research Lab at PSU and an active professional member of ACM, AIS, and IAENG organizations. She has been the PSU WiDS (Women in Data Science) ambassador at Stanford University since 2018 and Saudi Arabia Ambassador at WomenTech since 2020. She has been listed in Guide2Research and Top 2% Stanford Scientist list for the consecutive 2 years.