1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

PURPOSETo develop and validate natural language processing (NLP)–assisted machine learning (ML)–based classification models to confirm diagnoses of monoclonal gammopathy of undetermined significance ...

Traditional AI models learn from structured data and are optimized for outcomes like classification, forecasting or ...

Overview Clear prompts help machine learning models become more accurate and reliable.Role-specific prompts generate focused ...

Leaders across various industries are turning to machine learning to gain valuable insights and make informed decisions.