Role of AI in early cancer diagnosis
Mid-day online correspondent
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
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