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16. Plasma Proteomics to Identify Drug Targets and Potential Drugs for Retinal Artery Occlusion: An Integrated Analysis in the UK Biobank

17. Development of recombinase polymerase amplification detection method for Listeria monocytogenes in food

27. LVIS-within-enterprise double-stent technique with coil embolization in the treatment of patients with acutely ruptured intracranial vertebrobasilar artery-dissecting aneurysms

28. Impact of qualifying artery on the efficacy of stenting plus medical therapy versus medical therapy alone in patients with symptomatic intracranial stenosis: a post-hoc analysis of the CASSISS trial

32. Measurement of Foveal Retinal Thickness in Myopic Patients Using Different Display Modes on Optical Coherence Tomography: A Retrospective, Cross-Sectional Study

34. Development and Validation of a Deep Learning Model to Predict the Occurrence and Severity of Retinopathy of Prematurity

36. Development and Validation of Retinal Vasculature Nomogram in Suspected Angina Due to Coronary Artery Disease

37. Seizure prophylaxis following aneurysmal subarachnoid haemorrhage (SPSAH): study protocol for a multicentre randomised placebo-controlled trial of short-term sodium valproate prophylaxis in patients with acute subarachnoid haemorrhage

42. Development and validation of a deep learning system to classify aetiology and predict anatomical outcomes of macular hole

43. Development and validation of a deep learning system to classify aetiology and predict anatomical outcomes of macular hole

44. Machine learning-based prediction of anatomical outcome after idiopathic macular hole surgery

46. DETECTION OF MORPHOLOGIC PATTERNS OF DIABETIC MACULAR EDEMA USING A DEEP LEARNING APPROACH BASED ON OPTICAL COHERENCE TOMOGRAPHY IMAGES

48. A multi-center study of prediction of macular hole status after vitrectomy and internal limiting membrane peeling by a deep learning model

49. Automatic prediction of treatment outcomes in patients with diabetic macular edema using ensemble machine learning

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