This research assesses data provenance in widely used health datasets, revealing flaws that could undermine clinical prediction models and patient care.
A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...
Cerebrovascular disease can lead to serious aftereffects if treatment is delayed, but it is difficult to detect before ...
Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...
Some AI models designed to predict stroke and diabetes risk may be based on datasets whose origins cannot be verified, ...
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