Journal of Medical Artificial Intelligence

Current state of Food and Drug Administration-approved artificial intelligence/machine learning medical devices: pathways, transparency, and evidence gaps

Comment on “Multimodal deep learning breast cancer prognosis models: narrative review on multimodal architectures and concatenation approaches”

The DeepSeek-R1 moment: democratized intelligence, prompt vulnerabilities, and the dawn of agentic ophthalmology

Artificial intelligence (AI) has rapidly advanced in healthcare globally, yet adoption in low- and middle-income countries (LMICs), including Nigeria, remains limited. Documentation of AI deployment in African health systems is comparatively sparse. This rapid review assessed the extent of domestic evidence on AI use in Nigeria’s healthcare sector.

The electrocardiogram (ECG) is a widely available, low-cost diagnostic tool routinely used in cardiovascular care; however, its conventional interpretation has limited sensitivity for detecting heart failure (HF) and predicting disease progression. Artificial intelligence (AI) has emerged as a promising approach to enhance ECG interpretation by identifying latent patterns associ...