In a significant development reflecting the rapid advancements in artificial intelligence (AI) technology, the U.S. Food and Drug Administration (FDA) has recently added a substantial number of AI and machine learning-enabled medical products to its list of approved clinical AI applications. With
The field of radiology stands at the forefront of medical innovations that facilitate improved healthcare delivery. Artificial Intelligence (AI) has emerged as a transformative force within this domain, promising enhanced diagnostic accuracy and efficiency. However, the pressing question remains:
The advent of artificial intelligence (AI) in medical diagnostics has promised significant advancements in healthcare delivery, particularly through the analysis of medical images such as chest X-rays. However, the development and deployment of these AI systems also raise crucial concerns about
The article, published in Academic Radiology, examines the potential of large language models (LLMs) such as ChatGPT (specifically GPT-4) and Llama 2 in crafting educational materials and board-style questions for radiology. These models were tested on their ability to produce multiple-choice
Artificial Intelligence (AI) is revolutionizing various fields, and digital pathology is no exception. Digital pathology involves analyzing high-resolution digital images of tissue samples to diagnose diseases and guide treatment decisions. Recent developments by scientists at Dana-Farber Cancer
Artificial Intelligence (AI) is revolutionizing various sectors, and the mammography market is no exception. As breast cancer remains a leading cause of mortality among women, the significance of early and accurate detection cannot be overstated. This article delves into the transformative role of
