Articles related to Radiology

AI’s pivotal role in pulmonary embolism diagnosis transforms patient care by achieving remarkable diagnostic efficiency and accuracy, ensuring timely and targeted interventions for those in critical need.

For patients with cirrhosis facing venous thromboembolic events, the choice of anticoagulant—be it DOACs or LMWH—demands careful consideration of their unique hemostatic profile, emphasizing the need for personalized treatment strategies.

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.

Amidst the challenges of modern healthcare, more than 32% of academic physicians are contemplating leaving their institutions within the next two years, with burnout and lack of professional fulfillment being key drivers.

Recent studies challenge the traditional view of venous thromboembolism as a direct cause of unexplained fevers, emphasizing the need for comprehensive diagnostic evaluations.

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.