DIAGNOSIS

This study tested whether an AI tool called Prof. Valmed helps doctors make better diagnoses for rheumatic diseases. 82 licensed physicians (in rheumatology, internal medicine, and other fields) used either the AI or standard methods to suggest diagnoses. The goal was to see if t…

This study looked at whether two simple tests—a breath test (FeNO) and a blood test—can help diagnose asthma more easily than current hospital-based breathing tests. Researchers studied 123 people with suspected asthma to see if these tests could accurately identify the disease a…

This study looked at whether a simple checklist called the YEARS algorithm can safely rule out dangerous blood clots in the lungs (pulmonary embolism) in people with active cancer, without needing a CT scan. About 700 participants were randomly assigned to either the YEARS approa…

This study tested different ways to diagnose tuberculosis (TB) in over 14,000 people across seven countries. The goal was to find which tests work best in local clinics and for vulnerable groups like people with HIV and refugees. By identifying more accurate and practical tests, …

This study looked at 63 people who had a sudden loss of vision from a blocked artery in the eye (called CRAO). Researchers used advanced MRI scans to find signs of the blockage and related problems in the brain. The goal was to improve diagnosis and predict how well vision might …

This study tested whether a large language model (a type of AI) can improve doctors' diagnostic skills. 249 physicians in internal or family medicine reviewed fictional patient cases, some with AI help and some without. Researchers measured the accuracy of their diagnoses to see …