The exponential growth of artificial intelligence will be able to identify patients at high risk for cancer – even without symptoms – and provide better, less aggressive treatment options and improve survival rates. This was shared in a seminar organized by the Institute of Medical Technology-Jinnah Sindh Medical University (JSMU) on emerging trends in breast cancer.
During his address, JSMU Vice-Chancellor Prof. Amjad Siraj Memon said that a breast self-examination is important for detecting tumors early and that the latest advances in artificial intelligence models could predict the breast cancer from high-resolution mammograms with similar accuracy. to expert radiographers and could significantly reduce the workload of radiologists.
Using the 3D mammography method of radiology, clinicians and health care providers would be able to obtain higher resolution images in depth and five years earlier than cancer could have developed during the convention or could have been detected, said keynote speaker, assistant professor in the Department of Pathology Professor Syed Abdul Aziz, University of Ottawa.
Professor Syed Abdul Aziz is a doctor in genetics and has several publications to his credit. He further added that a new study reveals seventy-two new genetic variants responsible for breast cancer risk.
The Director of IMT-JSMU, Dr. Muhammad Imran extended his regards to all guest speakers and the session audience for their time and stressed the importance of clinical applications of AI and science of data in the diagnosis and treatment of breast cancer, after a brief presentation by Assistant Professor Abdul Hafeez on advanced cancer research, in the context of demographic, clinical and pharmaceutical data.
The seminar was attended by JSMU Registrar, Dr. Azam Khan, Dean of Medicine, Prof. Masroor, Pathology Department Chair, Prof. Saadia Akram, PDC Additional Director, Dr. Zarreen Raza, Chairman from the Department of Biochemistry, Dr. Imrana Khan, Dr. Anita Shah and other faculty and staff. JSMU members.