Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study

Background: The financial burden and the uncertain response of the anti-vascular endothelial growth factor (anti-VEGF) treatment often cause hesitation among patients with neovascular age-related #macular degeneration (nAMD), highlighting the need for a reliable method to predict treatment outcomes. We aimed to develop and validate a deep learning model that can predict the visual and anatomical… Continue reading Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study

Consumer wearables, cardiology and clinical practice

Consumer wearables enable continuous cardiac monitoring through photoplethysmography and electrocardiography. Twenty per cent of Danes now share wearable data with physicians. Evidence shows high accuracy for atrial #fibrillation (AF) detection, but anticoagulation for device-detected AF remains controversial. Ethical challenges include data quality, interoperability, health equity, fairness and privacy. While patients increasingly use wearables, clinical integration… Continue reading Consumer wearables, cardiology and clinical practice

#Subretinal Photovoltaic Implant to Restore #Vision in Geographic Atrophy Due to AMD

Geographic atrophy due to age-related macular degeneration (AMD) is the leading cause of irreversible blindness and affects more than 5 million persons worldwide. No therapies to restore vision in such persons currently exist. The photovoltaic retina implant microarray (PRIMA) system combines a subretinal photovoltaic implant and glasses that project near-infrared light to the implant in… Continue reading #Subretinal Photovoltaic Implant to Restore #Vision in Geographic Atrophy Due to AMD

Structural brain improvements following individually tailored serious #exergame-based training in mild #neurocognitive disorders: exploratory randomized controlled trial

IntroductionExergame-based training is emerging as the most effective exercise modality for improving cognition, yet its neural correlates remain largely unexplored. This study explored gray matter (GM) and white matter (WM) changes following the addition of ‘Brain-IT’ training to usual care in mild neurocognitive disorder (mNCD) and their associations with cognitive performance changes.MethodsWe included 41 participants… Continue reading Structural brain improvements following individually tailored serious #exergame-based training in mild #neurocognitive disorders: exploratory randomized controlled trial