Optic Nerve Colobomatous Cyst in an Infant
This case report discusses a diagnosis of optic nerve colobomatous cyst diagnosed in an infant who presented with left exotropia and no accompanying systemic abnormalities.
Journal-based
Reticular Honeycomb Epithelial Corneal Edema Associated With Netarsudil
This case report discusses a diagnosis of reticular epithelial corneal edema in a male patient aged 57 years who presented with a sudden decrease in vision in his right eye, which was receiving treatment with netarsudil for neovascular glaucoma.
Wind Swirl Pattern on Density Spectral Array in Anti-GABAB Receptor Encephalitis With Amnestic Seizures
This case report describes a man presenting with amnestic seizure events manifesting with a wind swirl pattern on density spectral array, resulting in a diagnosis of antiñ?-aminobutyric acid B (GABAB) receptor antibodyñassociated encephalitis.
Sequential Electrocardiography Changes
This case report describes a woman in her 60s with sequential type I Kounis syndrome and cholecystocardial syndrome, leading to dynamic, reversible electrocardiography changes mimicking acute coronary syndrome.
Clinician-Driven AI: Code-Free Self-Training on Public Data for Diabetic Retinopathy Referral
Importance Democratizing artificial intelligence (AI) enables model development by clinicians with a lack of coding expertise, powerful computing resources, and large, well-labeled data sets. Objective To determine whether resource-constrained clinicians can use self-training via automated machine learning (ML) and public data sets…
Use of Voice-Based Conversational Artificial Intelligence for Basal Insulin Prescription Management Among Patients With Type 2 Diabetes
Importance Optimizing insulin therapy for patients with type 2 diabetes can be challenging given the need for frequent dose adjustments. Most patients receive suboptimal doses and do not achieve glycemic control. Objective To examine whether a voice-based conversational artificial intelligence (AI) application…
Real-Time AI-Assisted Insulin Titration System for Glucose Control in Patients With Type 2 Diabetes – A Randomized Clinical Trial
Importance Type 2 diabetes (T2D) is one of the most prevalent chronic diseases in the world. Insulin titration for glycemic control in T2D is crucial but limited by the lack of personalized and real-time tools. Objective To examine whether an artificial intelligence–based…
Automated Machine Learning for Predicting Diabetic Retinopathy Progression From Ultra-Widefield Retinal Images
Importance Machine learning (ML) algorithms have the potential to identify eyes with early diabetic retinopathy (DR) at increased risk for disease progression. Objective To create and validate automated ML models (autoML) for DR progression from ultra-widefield (UWF) retinal images. Design, Setting and…
Cost-effectiveness of Artificial Intelligence as a Decision-Support System Applied to the Detection and Grading of Melanoma, Dental Caries, and Diabetic Retinopathy
Objective To assess the cost-effectiveness of artificial intelligence (AI) for supporting clinicians in detecting and grading diseases in dermatology, dentistry, and ophthalmology. Importance AI has been referred to as a facilitator for more precise, personalized, and safer health care, and AI algorithms…
Diabetic Retinopathy Screening Among Federally Qualified Health Center Patients Using Point-of-Care AI – DRES-POCAI: A Trial Protocol
Importance Diabetic retinopathy screening (DRS) rates have historically been low among underserved populations due to barriers in accessing traditional eye care. Although artificial intelligence (AI)–powered DRS provides a potential strategy to improve screening rates, its optimal integration into primary care workflows…
