+ A
A -
Tribune News Network
Doha
Qatar University’s (QU) College of Medicine and College of Engineering collaborated in organising the first Artificial intelligence in Medicine Students Journal Club titled ‘Machine learning in medicine’ virtually, which was attended by around 60 students from QU Health cluster, Computer Sciences and Engineering students and faculty.
The event was presented by three medical students - Lubna Zar ‘AI determines sex from images of the eye’, Salma Hijazi ‘Screening for cardiac contractile dysfunction using an AI enabled electrocardiogram’ and Reem Alsubai ‘Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Direction’.
Each student presented for 10 to 15 minutes then opened discussion with student attendees and faculty.
Faculty mentors of this students’ journal club are from CMED and CENG - Prof Sumaya Al Maadeed (CENG), Dr Muhammad Chowdhury (CENG), Dr Susu Zughaier (CMED), and with collaboration of Dr Ali Ait Hussain from HMC.
The student leader of this Machine Learning and Virtual reality (ML/VR) interest group is medical student Yosra Mekki.
The event objective was to introduce Artificial Intelligence in Medicine Students Journal Club Introduce AI in Medicine Faculty mentors, learn about machine learning applications in medicine, stimulate interdisciplinary research and collaborations between QU Health cluster colleges and Computer Sciences and Engineering College.
Artificial Intelligence in medical applications is expected to revolutionise healthcare delivery. For example, Machine learning (ML) and Deep Learning based X-ray and CT-scan image analysis are implemented in the field of radiology to assist in diagnosis.
Artificial intelligence research is at the forefront of advancing the implementation of AI in Medicine.
The interdisciplinary collaborative research between College of Medicine and Computer Sciences and Engineering at Qatar University is needed to incorporate Artificial Intelligence in medical education and encourage medical and engineering students to collaborate.
Dr. Feras Alali said, “We believe that AI in Medicine Students Journal Club will spur curiosity, unleash potential creativity and interdisciplinary collaborations. These joint extra-curricular activities enhance learning and add value to college years.”
Doha
Qatar University’s (QU) College of Medicine and College of Engineering collaborated in organising the first Artificial intelligence in Medicine Students Journal Club titled ‘Machine learning in medicine’ virtually, which was attended by around 60 students from QU Health cluster, Computer Sciences and Engineering students and faculty.
The event was presented by three medical students - Lubna Zar ‘AI determines sex from images of the eye’, Salma Hijazi ‘Screening for cardiac contractile dysfunction using an AI enabled electrocardiogram’ and Reem Alsubai ‘Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Direction’.
Each student presented for 10 to 15 minutes then opened discussion with student attendees and faculty.
Faculty mentors of this students’ journal club are from CMED and CENG - Prof Sumaya Al Maadeed (CENG), Dr Muhammad Chowdhury (CENG), Dr Susu Zughaier (CMED), and with collaboration of Dr Ali Ait Hussain from HMC.
The student leader of this Machine Learning and Virtual reality (ML/VR) interest group is medical student Yosra Mekki.
The event objective was to introduce Artificial Intelligence in Medicine Students Journal Club Introduce AI in Medicine Faculty mentors, learn about machine learning applications in medicine, stimulate interdisciplinary research and collaborations between QU Health cluster colleges and Computer Sciences and Engineering College.
Artificial Intelligence in medical applications is expected to revolutionise healthcare delivery. For example, Machine learning (ML) and Deep Learning based X-ray and CT-scan image analysis are implemented in the field of radiology to assist in diagnosis.
Artificial intelligence research is at the forefront of advancing the implementation of AI in Medicine.
The interdisciplinary collaborative research between College of Medicine and Computer Sciences and Engineering at Qatar University is needed to incorporate Artificial Intelligence in medical education and encourage medical and engineering students to collaborate.
Dr. Feras Alali said, “We believe that AI in Medicine Students Journal Club will spur curiosity, unleash potential creativity and interdisciplinary collaborations. These joint extra-curricular activities enhance learning and add value to college years.”
