AI Classification in Healthcare:

PredictibilityAI classification involves training machine learning or deep learning models to classify medical images or data into predefined categories or classes. This can include classifying images as normal or abnormal, identifying specific diseases or conditions, or categorizing different types of medical images (e.g., X-rays, MRI scans).

Examples:

For example, AI models can be trained to classify mammograms as either benign or malignant, detect specific types of cancer in histopathology slides, or classify skin lesions as cancerous or non-cancerous. Classification models can assist healthcare professionals in making accurate diagnoses, triaging patients, and identifying high-risk cases that require immediate attention.

AI Segmentation in Healthcare

PredictibilityAI segmentation involves partitioning or segmenting medical images to identify and delineate specific regions or structures of interest

Predictive Analysis in Healthcare

PredictibilityAI predictive analysis in healthcare refers to the use of artificial intelligence (AI) techniques to analyze healthcare data and make predictions about patient outcomes.