How AI Reduces Errors in Cancer Diagnosis
Introduction Cancer diagnosis is a complex and critical process that significantly impacts patient outcomes. Traditional diagnostic methods, including imaging, biopsies, and pathology, often face challenges related to accuracy. False positives (incorrectly diagnosing cancer in a healthy individual) and false negatives (failing to detect cancer when it is present) can have severe consequences, leading to unnecessary […]
