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3rd Edition of
International Ophthalmology Conference
March 10-12, 2025 | Rome, Italy
Artificial Intelligence and Deep Learning in Ophthalmology
Artificial Intelligence and Deep Learning in Ophthalmology
The fourth industrial revolution in human history is artificial intelligence (AI). Deep learning (DL) is a class of cutting-edge machine learning algorithms that has aroused a lot of attention throughout the world in recent years. DL is a revolutionary AI machine learning technology that has completely transformed the AI sector. DL has demonstrated clinically acceptable diagnostic performance in detecting several retinal disorders in ophthalmology. Future study will be necessary to assess the clinical deployment and cost-effectiveness of various DL systems in clinical practise. To increase clinical acceptance of DL systems, present and future approaches must be used to unravel the ‘black-box' aspect of DL.
- Fundus Photographs
- Optical Coherence
- Tomography and Visual Field
- Ocular Imaging
- AI 'Black-Box' Algorithms
- Telemedicine
Committee Members
John David Bullock
Wright State University, United States
Minckler Don S
UCI Gavin Herbert Eye Institute, United States
Kasra Rezaei
University of Washington, United States IOC 2025 Speakers
Dhruva Drew Gupta
Harvard Medical School, United States
Nour Abou Shousha
Harvard Medical School, United States
George HH Beiko
McMaster Univeresity, Canada
Mustafa Al Ghazi
University Hospital of Wales, United KingdomSubmit your abstract Today
Title : Eyes and guts connection: Microbiomes and their role in ocular health
Edward Charles Kondrot, Healing the Eye Wellness Center, United States
Title : Optic nerve orthograde axonal transport in abusive head trauma suspects
Minckler Don S, UCI Gavin Herbert Eye Institute, United States
Title : Why was Leonhard Euler blind?
John David Bullock, Wright State University, United States
Title : A factorial randomized controlled trial of tissue plasminogen activator and/or perfluoropropane for the treatment of submacular hemorrhage secondary to neovascular age-related macular degeneration (TAPAS)
Tim Jackson, King’s College London, United Kingdom
Title : Monovision cataract surgery made simple
Shadrokh Nabili, University Hospitals of Morecambe Bay NHS Foundation Trust, United Kingdom
Title : An innovative in vitro human-based millifluidic platform as useful tool to underlying mechanisms of neurodegeneration in glaucoma
Anna Maria Bassi, University of Genoa, Italy