Diagnostic screening programs help catch cancer, abnormalities or other diseases before they reach an advanced stage, saving lives and healthcare costs. Screening programs include, lung, breast, prostate, and cervical cancer, among many others.
New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy.
The COlorectal Cancer detection with AI, or COCA, model is a cost-effective, scalable solution that turns routine CT scans into opportunistic exams that can be used to proactively identify CRC.
Two respected radiology organizations have issued a stark warning on the new recommendations, stating that they risk confusing patients and “may contribute to thousands of additional breast cancer deaths each year.”
Though the study of AI in lung cancer screening is not new, prior research has been retrospective in nature, making it challenging to determine the impact.
Mandates for universal ECG screening are gaining momentum as a way to combat the risk of SCA. However, the ACC warned, modern healthcare systems were not built to withstand such a rise in demand. These mandates will also result in higher costs and other unintended consequences.