All articles tagged with #clinical decision making
The article highlights five outdated lab tests—total serum vitamin B12, serum iron, creatinine, total testosterone, and total cholesterol—that clinicians should replace with more precise, evidence-based biomarkers like holotranscobalamin, ferritin with CRP, cystatin C, free testosterone, and apolipoprotein B to improve diagnosis and patient care.
A study reveals that large language models, despite high scores on medical exams, rely heavily on pattern recognition rather than true reasoning, as their performance drops significantly when answer options are subtly altered, raising concerns about their reliability in real clinical settings.
Artificial intelligence algorithms may be able to identify those most at risk for developing pancreatic cancer around three years before diagnosis purely by using the patients' medical records, according to a new study published in the peer-reviewed journal Nature Medicine. Pancreatic cancer is fast-growing and hard to detect, but identifying any cancer early on is important for recovery, especially with pancreatic cancer, which is one of the most difficult cancers to detect in its early stages when it's most curable. An AI tool that can zero in on those at highest risk for pancreatic cancer who stand to benefit most from further tests could go a long way toward improving clinical decision-making.
An AI tool can predict whether someone will get pancreatic cancer up to three years in advance, according to a new study. The study used data from millions of patients in Denmark and the US, and researchers applied an AI algorithm to clinical data from 9 million patients. The AI tool can detect who is at risk for the deadly disease by using the patient’s medical records. The technology is still in its early stages and still needs to undergo many more tests. Pancreatic cancer is one of the most deadly cancers and is very hard to detect early, which is when it has the potential to be curable.