ML full form in medical term is Machine Learning, a type of artificial intelligence that encompasses training algorithms to recognize patterns and automatically make predictions based on data. In the medical world, machine learning can be used for diagnosis, treatment planning, and medical image analysis tasks.
Machine learning (ML) can revolutionize the field of medicine by enabling healthcare professionals to extract insights and predictions from large amounts of patient data.
What else should you know about ML?
To know how ML is being used in medicine, check the examples below:
Prognosis and Diagnosis: Machine learning equipment can be programmed to analyze patient data, including lab results, medical records, and clinical reports to assist healthcare professionals in making more precise and accurate diagnoses and predictions about patient outcomes.
Medical Imaging: These machine learning algorithms analyze medical images, including MRI scans, X-rays, and CT scans. They help detect diseases like cancer, as well as identify abnormalities that might not be visible to human vision.
Drug Discovery: Machine learning algorithms can help identify new drug targets and accelerate the drug discovery process by predicting the efficacy and safety of new drug candidates.
