Are artificial intelligence chatbots a reliable source of information about contact lenses?

Introduction: Artificial Intelligence (AI) chatbots are able to explain complex concepts using plain language. The aim of this study was to assess the accuracy of three AI chatbots answering common questions related to contact lens (CL) wear.

Methods: Three open access AI chatbots were compared: Perplexity, Open Assistant and ChatGPT 3.

Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning.

Purpose: To evaluate the glistening in 4 different models of intraocular lenses (IOLs) using optical coherence tomography (OCT) and deep learning (DL).

Setting: Centro Internacional de Oftalmología Avanzada (Madrid, Spain).

Design: Cross-sectional study.

Repeatability of choriocapillaris flow voids by optical coherence tomography angiography in central serous chorioretinopathy.

Purpose: To assess the repeatability of flow signal voids (FSV) measurements of the choriocapillaris (CC) and choroid (CH) in central serous chorioretinopathy (CSCR) by Swept-Source optical coherence tomography angiography (SS-OCTA).

Methods: Cross-sectional study including 104 eyes of 52 patients with unilateral CSCR. Two consecutive macular 6x6 mm SS-OCTA scans (Plex Elite 9000; Zeiss, Dublin, CA) were obtained from the affected eyes with persistent subretinal fluid (SRF) (CSCR group) and the fellow unaffected eyes (control group).

Prediction of the response to photodynamic therapy in patients with chronic central serous chorioretinopathy based on optical coherence tomography using deep learning.

Purpose: To assess the prediction of the response to photodynamic therapy (PDT) in chronic central serous chorioretinopathy (CSCR) based on spectral-domain optical coherence tomography (SD-OCT) images using deep learning (DL).

Methods: Retrospective study including 216 eyes of 175 patients with CSCR and persistent subretinal fluid (SRF) who underwent half-fluence PDT. SD-OCT macular examination was performed before (baseline) and 3 months after treatment.

Early changes in choriocapillaris flow voids as an efficacy biomarker of photodynamic therapy in central serous chorioretinopathy.

Purpose: To assess the early changes produced in the choriocapillaris (CC) and choroidal vasculature using swept-source optical coherence tomography angiography (SS-OCTA) in patients with persistent central serous chorioretinopathy (CSCR) as predictors of the efficacy after photodynamic therapy (PDT).

Methods: Prospective observational study in 52 eyes of 52 patients with persistent subretinal fluid (SRF). SS-OCTA scans of the 6 × 6 mm macular region were assessed before; 2-3 days, one month and three months after half-fluence PDT.

Data augmentation approaches using cycle-consistent adversarial networks for improving COVID-19 screening in portable chest X-ray images.

The current COVID-19 pandemic, that has caused more than 100 million cases as well as more than two million deaths worldwide, demands the development of fast and accurate diagnostic methods despite the lack of available samples. This disease mainly affects the respiratory system of the patients and can lead to pneumonia and to severe cases of acute respiratory syndrome that result in the formation of several pathological structures in the lungs. These pathological structures can be explored taking advantage of chest X-ray imaging.