Joshua Ong, MD

Research Interests: Ophthalmology, Space Medicine, Corneal Pathology, Spaceflight Associated Neuro-Ocular Syndrome (SANS), Artificial Intelligence, Visualization Engineering

Joshua Ong, MD is an ophthalmology resident physician at the Department of Ophthalmology and Visual Sciences, University of Michigan Kellogg Eye Center. He completed his MD degree at the University of Pittsburgh School of Medicine where he was awarded the Bert and Sally O’Malley Award for Outstanding Medical Student Research, awarded to the top 4 of the class in medical research. He serves as Associate Editor for the textbook “Spaceflight Associated Neuro-ocular Syndrome” and his areas of interest include corneal and retinal pathologies, space medicine ophthalmology including ocular surface risks in space and spaceflight associated neuro-ocular syndrome (SANS), and vision technologies to optimize detection of irreversible but preventable causes of blindness. His work also includes conducting research in multiple NASA-funded projects, including a tissue engineering project that launched into space and artificial intelligence frameworks for SANS. His work in artificial intelligence to further understand SANS has been presented at the United Nations (UN) and World Health Organization (WHO) at the UN/WHO International Conference on Space and Global Health with the goal to contribute towards recommendations for the UN General Assembly Resolution on Space and Global Health. He placed 2nd place at NASA’s space medicine conference for his work on augmented reality to counteract damaged astronaut vision on the anticipated mission to Mars. With his experience in space medicine technologies for astronaut health, Joshua serves as a member of the Artificial Intelligence (AI)/Machine Learning (ML) Analysis Working Group that analyzes the NASA Open Science Data Repository to optimize data for AI applications in space medicine. He serves as a Special Issue Editor in the journal Life: “Space Medicine Ophthalmology: Insights from Molecular Observations to the Clinical Management of Ocular Risks in Microgravity”, co-guest editor in the journal Medicina for the Special Issue “Retinal Diseases: Clinical Presentation and Novel Treatments”, reviewer for various journals including The Lancet Digital Health and Expert Review of Ophthalmology, as well as other scholarly roles in academic journals. He has also conducted and published vision science research in collaboration with the National Football League (NFL) to optimize accuracy and precision of NFL official on-field decision making. He has authored over 150 publications in peer reviewed journals and book chapters. Dr. Joshua Ong was listed in Forbes 30 Under 30 (2024). Dr. Ong is glad to be serving as the Editor-in-Chief for the Journal of Medical Artificial Intelligence.

Ebraham Alskaf, MD

Research Interests: Cardiovascular Imaging, Cardiac Magnetic Resonance, Artificial Intelligence in Medicine, Interventional Cardiology, Outcome Prediction, and Computer Science in Medicine.

Ebraham Alskaf, MD is a post-CCT interventional specialty doctor in cardiology at University Hospitals Sussex, UK, and a PhD candidate in Biomedical Engineering and Imaging Sciences at King's College London, UK. With dual qualifications in cardiology and general internal medicine, Dr. Alskaf has extensive expertise in clinical cardiology, internal medicine, interventional cardiology, and cardiac imaging, particularly in stress perfusion cardiac magnetic resonance (CMR) and artificial intelligence (AI) applications in cardiovascular medicine.

Dr. Alskaf holds multiple accreditations, including European Association of Cardiovascular Imaging (EACVI) Level 3 CMR and British Society of Echocardiography (BSE) full accreditation in adult trans-thoracic echocardiography, and is a member of prominent societies such as the European Society of Cardiology (ESC), the American College of Cardiology (ACC), the Royal College of Physicians (RCP) in London, and the Society for Cardiovascular Magnetic Resonance (SCMR). He has been recognised as a finalist for the prestigious Melvin Judkins Early Career Award at the American Heart Association (AHA) Scientific Sessions in 2023.

His research focuses on AI-driven outcome prediction models in cardiovascular imaging, combining advanced image analysis techniques with electronic health record (EHR) data. Dr. Alskaf's work in deep learning applications for coronary anatomy and myocardial perfusion imaging has led to highly respected publications in journals like Eur J Radiol and Eur Heart J Digit Health. His contributions include authoring peer-reviewed publications and presentations at major international conferences such as the ACC, ESC, and AHA.

Currently involved in several AI-based cardiac imaging research projects, Dr. Alskaf is committed to advancing the integration of machine learning technologies into clinical practice. His work includes hybrid AI models for prognostic assessment of cardiovascular outcomes, utilising techniques like convolutional neural networks and natural language processing of clinical reports. In addition to his clinical and research endeavours, Dr. Alskaf actively contributes to medical education, serving as teaching faculty for international CMR courses.

Dr. Alskaf is excited to serve as Co-Editor-in-Chief of the Journal of Medical Artificial Intelligence, where he aims to foster the growth of AI innovations in medical science and support high-quality research at the intersection of artificial intelligence and medicine.