The exponential growth of Artificial Intelligence will be able to identify patients at a high risk of cancer – even without symptoms – and deliver better and less aggressive treatment options and improve survival rates. This was shared at a seminar organized by the Institute of Medical Technology-Jinnah Sindh Medical University (JSMU) on the Emerging Trends in Breast Cancer.
While addressing the seminar, Vice-Chancellor JSMU Professor Amjad Siraj Memon said that a self-breast examination is important to catch early tumors as well as the latest advancements in Artificial Intelligence models could predict breast cancer from high-resolution mammography scans with a similar accuracy level to expert radiographers and could significantly reduce the workload of radiologists.
Through the 3D mammography method of radiology, clinicians and healthcare providers would be able to achieve better depth resolution images and five years earlier than cancer could have been developed at the convention or could have been detected, said the keynote speaker Adjunct Professor in the Department of Pathology Professor Syed Abdul Aziz, University of Ottawa.
Professor Syed Abdul Aziz is a PhD in genetics and has multiple publications to his credit. He further added that a new study reveals seventy-two novel genetic variants that are responsible for breast cancer risks.
Director IMT-JSMU Dr Muhammad Imran extended his greetings to all the guest speakers and session audience for their time and highlighted the importance of clinical applications of AI and Data Science in breast cancer diagnosis and treatment, following a brief talk by Assistant Professor Abdul Hafeez on advanced cancer research, in the context of population, clinical and drug data.
The seminar was attended by Registrar JSMU Dr Azam Khan, Dean of Medicine Professor Masroor, Chairperson Department of Pathology Professor Saadia Akram, Additional Director PDC Dr Zarreen Raza, Chairperson Department of Biochemistry Dr Imrana Khan, Controller Examination Dr Anita Shah and other faculty and staff members of JSMU.