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.
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.
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…
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…
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…
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…
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…
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…
Importance Offline automated analysis of retinal images on a smartphone may be a cost-effective and scalable method of screening for diabetic retinopathy; however, to our knowledge, assessment of such an artificial intelligence (AI) system is lacking. Objective To evaluate the performance of…
This case report describes a man in his 30s who presented for evaluation of a 3-week history of irritation, redness, and photophobia in both eyes.
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