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Title: Best Practices for Transparent and Reproducible AI Research Speaker Bio Ali Tejani, MD, CIIP, is a neuroradiology fellow at the University of California, San Francisco (UCSF). He completed his radiology residency at the University of Texas Southwestern Medical Center, where he served as senior chief resident of the diagnostic radiology program. He also completed…

Title: AI in Health: Why models that succeed on paper often fail in practice Speaker Bio Dr. Annika Reinke earned her PhD degree in 2023, focusing on eliminating flaws in biomedical image analysis validation. She continues her work as a postdoctoral researcher and deputy head of department by addressing underrepresented societally relevant topics, particularly scientific…

Title: Automated Medical Image Segmentation and Its Implications: Toward Trustworthy Clinical Tools Speaker Bio: Toufiq Musah is a Biomedical Research & Engineer with interests in artificial intelligence applications in healthcare. His recent work spans brain tumor segmentation, uncertainty estimation in medical imaging, and automated pathological complete response assessment in breast tumor treatment. He is particularly…

Join us this weekend, 30 August – 2 September, for an inspiring two-day conference, the 2nd Annual PRECISE Symposium. Theme: “Patient-Centred Digital Innovations for Transformative Cancer Diagnosis and Treatment Access in Africa.” Program HighlightsAugust 30 | Community Engagement Day (Kubwa): Breast cancer education, free screenings, nutrition demonstration, and survivor testimoniesSeptember 1 | Pre-Conference Workshop (NICRAT,…

Are you a young Nigerian interested in applying Technology to Healthcare? Do you want to gain hands-on, relevant skills that will enable you to develop innovative Artificial Intelligence solutions in the healthcare field? Do you want to join a network of healthcare innovators across Africa? The Medical Artificial Intelligence Laboratory (MAI Lab) invites interested candidates…

Title Understanding the computational models for dense correspondence matching Speaker Bio Rohit Jena is a Ph.D. candidate in Computer and Information Science at the University of Pennsylvania, where he is co-advised by Professors James C. Gee and Pratik Chaudhari. His research focuses on developing and unraveling the nature of task-specific, self-supervised representations for correspondence matching problems,…

Title: AI & neuroimaging for the computer-aided diagnosis of neurodegenerative diseases Speaker Bio: Ninon Burgos is a CNRS researcher at the Paris Brain Institute, co-head of the ARAMIS Lab, and a fellow of PR[AI]RIE, the PaRis Artificial Intelligence Research InstitutE. She completed her PhD in 2016 at University College London. In 2019, she received the ERCIM…

Title: Multi-organ CT and PET quantification via whole body CT segmentation using the Automated On-site Data Analysis Facilitation Suite Speaker Bio: Dr. Mirza Faisal Beg is a Professor in the School of Engineering Science at Simon Fraser University, and the Chief Executive and the Chief Scientific Officer of Voronoi Health Analytics Inc., located in Vancouver,…

Are you a young Nigerian interested in applying Technology to Healthcare? Do you want to gain hands-on relevant skills that will enable you to develop innovative Artificial Intelligence solutions in the healthcare field? The Medical Artificial Intelligence Laboratory(MAI Lab) invites interested candidates to apply for a 6-month, full-time, paid internship program. Requirements Extra Skills(If you…

Are you passionate about AI and transforming healthcare in Africa? Don’t miss this chance to join the prestigious SPARK Academy for deep learning and medical imaging! 🚀 Program Highlights: Why Join? Enhance your skills, collaborate with experts, and contribute to reshaping healthcare in Africa. This program is designed to empower the next generation of leaders…