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Titlebook: Macular Surgery; Current Practice and Andrew Chang,William F. Mieler,Masahito Ohji Book 2020 The Editor(s) (if applicable) and The Author(s

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Artificial Intelligence in the Assessment of Macular Disordersion of treatment burden and outcomes, and so on. Although there are still barriers in medico-legal and ethical issues including regulations to overcome before being deployed in the real world, AI is becoming an integrated part of general medicine, not only ophthalmology, for filling the unmet need in health care.
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Optical Coherence Tomography Angiography in Macular Disorders ophthalmology in the few years since its introduction in commercial imaging devices. This chapter describes OCTA technology, discusses its applications among common retinal conditions, and reviews its strengths and limitations.
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Automated Analysis and Quantification of OCT Imagesday OCT analysis software. In addition, artificial intelligence also allows prognostic evaluation of images with regards to a patient’s individual future disease course or therapeutic outcome, introducing personalized healthcare into the field of retina.
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Intraoperative OCT in Macular Surgery handheld and microscope-mounted OCT [1–3], fiber-optic OCT probe [4, 5], and microscope-integrated iOCT (MIOCT). The fiber-optic OCT probe is limited to development stage in the field of ophthalmology [5]. This chapter introduces the current clinical usage of the MIOCT for the treatment of macular diseases in clinical cases.
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Heads-up Microscope Systems in Vitreoretinal Surgeryative optical coherence tomography (iOCT), whilst software allows surgeons to track and customise data parameters in real time such as intraocular pressure, infusion pressure, laser power and flow rates on an overlay to the operating field shown on the heads-up monitor [4–6].
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