Dec 11, 2024 · These studies have shown that, within a single medical imaging modality, generative AI can generate high-quality synthetic images that act as valuable assets to support medical imaging...

Mar 1, 2025 · Leading experts from academia, industry, nonprofits, and government agencies highlighted the potential opportunities of generative AI in automation of documentation, strengthening of participant and community engagement, and improvement of …

Aug 16, 2024 · Within the medical field, these models have demonstrated unprecedented capabilities in generating high-fidelity images, simulating complex biological systems, summarizing and synthesizing clinical documentation, and even assisting in …

Jun 5, 2024 · We present a framework for understanding AI models in medical imaging, leveraging generative AI and interdisciplinary expert review to identify and interpret visual cues associated with model predictions.

Apr 23, 2025 · Advances in biomedical optics research have led to the ability to image at the cellular scale in the living human body. However, while most clinical imaging instruments are able to visualize ...

Apr 23, 2025 · The use of imaging for diagnosis in healthcare is substantial, amounting to about USD 100 billion globally per year [].Mounting pressures on healthcare facilities and the market for imaging diagnosis have led to increasing demands for diagnostic excellence in the clinical setting due to the rising number of clinical images, greater image complexity, and faster results demanded by clinicians.

This article aims to guide readers regarding radiology practice and research using image-generative AI by 1) reviewing basic theories of image-generative AI, 2) discussing the methods used to evaluate the generated images, 3) outlining the clinical and research utility of generated images, and 4) discussing the issue of hallucinations.

Departing from other AI approaches in cardiology focused on task automation and pattern recognition, we describe a digital health platform to synthesize enhanced, yet familiar, clinical images to augment the cardiologist’s visual clinical workflow.

2 days ago · Generative AI Vs. Discriminative AI. AI encompasses computer algorithms that mimic aspects of human behavior, enabling machines to perform tasks that would typically require human intelligence, such as recognizing images, processing language, and making decisions (Fig. 1A). Within AI, machine learning (ML) represents a subset of algorithms that can “learn” from patterns in data ...

Medical imaging – the ability to peer inside the human body using techniques like X-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Ultrasound – is a cornerstone of modern medicine. It's indispensable for diagnosis, treatment planning, monitoring disease progression, and advancing medical research. As Artificial Intelligence (AI), particularly deep learning-based computer