Articles related to CANCER CARE

AI chatbots like ChatGPT-4 and Claude AI have demonstrated superior performance to oncologists in delivering accurate, empathetic, and readable responses to patient inquiries about cancer, suggesting a promising adjunct to clinical practice.

The oncologist shortage, especially in rural areas, has reached a critical level, necessitating innovative solutions such as medical school debt repayment and congressional intervention to ensure comprehensive cancer care delivery across the United States.

An AI-powered test using dried blood spots can diagnose pancreatic, gastric, and colorectal cancers in minutes with 82–100% sensitivity, offering a cost-effective alternative for low-income regions.

Dr. Liangco’s book provides a unique glimpse into the personal and professional challenges faced by oncologists in resource-limited settings, emphasizing the stark realities of healthcare disparities.

A radiologist’s failure to detect early-stage cancer exemplifies the profound implications of diagnostic accuracy in radiology, emphasizing the necessity for vigilance in interpreting imaging studies to prevent catastrophic outcomes.

In the realm of oncology, AI’s potential to revolutionize patient care is immense, yet its successful integration hinges on stringent safety measures and a commitment to mitigating biases in data.