Prof. Tanzila Saba holds a Ph.D. in Document Information Security and Management from the Faculty of Computing, Universiti Teknologi Malaysia (UTM), conferred in 2012. She currently serves as the Associate Director of the Research and Initiatives Center at Prince Sultan University (PSU), Riyadh, where she has been instrumental in advancing the university’s research ecosystem. Her primary research interests encompass medical imaging, pattern recognition, the Internet of Things (IoT), and information security. Prof. Saba has an extensive publication record, with over 400 articles in high-impact journals. She is an esteemed editor and reviewer for several leading academic journals and an active member of technical program committees for internationally recognized conferences. Prof. Saba is a senior member of IEEE and maintains professional memberships with ACM, AIS, and IAENG. She leads the Artificial Intelligence and Data Analytics Research Lab at PSU, driving innovation and collaboration in artificial intelligence research. Additionally, she serves as the WiDS (Women in Data Science) Ambassador for PSU in collaboration with Stanford University, fostering the advancement of women in data science globally. Her contributions to research excellence have earned her the Best Researcher Award at PSU for four consecutive years. She has also been recognized among the world’s top 2% scientists for five consecutive years (2020–2024). Notably, she is the only female researcher in Saudi Arabia to feature in Guide2Research rankings consistently since 2019, underscoring her leadership and influence in the global research community.
Abstract: 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.
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