Role of AI in early cancer diagnosis

One of the key ways AI contributes to diagnostic accuracy is through its ability to analyse complex patterns in medical images

AI can process massive datasets at incredible speeds, identifying patterns that may be imperceptible to the human eye

Machine learning algorithms – a subset of AI, thus, play a pivotal role in this enhancement of diagnostic accuracy

In the context of medical imaging, they can be trained on a diverse range of images representing both normal and cancerous conditions

AI systems maintain a consistent level of performance regardless of external conditions. This reliability is particularly crucial in time-sensitive situations