Articles related to ARTIFICIAL INTELLIGENCE (AI)

With AI chatbots achieving an 88% accuracy rate in diagnosing conditions, the landscape of patient self-diagnosis is rapidly evolving. Physicians must navigate this new technology with caution, ensuring patient safety and data integrity.

In the rapidly evolving field of oncology, artificial intelligence (AI) stands out not just for its potential to revolutionize cancer care, but also for the complex ethical and practical challenges it presents. A recent survey highlights both the enthusiasm and caution among oncologists regarding AI’s integration into clinical practice.

A recent study demonstrates AI-supported mammogram reading’s ability to detect 20% more cancers compared to traditional methods, marking a significant step forward in breast cancer screening efficiency and accuracy.

This CME program is dedicated to exploring the integration of artificial intelligence in the field of cardiology, focusing on its application for diagnosis, clinical decision support, and improving the quality of patient care.

Recent advancements in AI provide a promising avenue for the accurate and efficient diagnosis of autism spectrum disorder, leveraging retinal photography analysis to discern nuanced neurobiological variations.

In the intricate realm of chest X-ray interpretation, AI shines in detecting diseases but falls short in discerning their absence, especially in complex cases. Lead author Dr. Louis Plesner cautions against relying solely on AI, emphasizing the indispensable role of human radiologists.