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

Materials AND Methods We conducted literature searches in PubMed and retrieved paper titles and abstracts to create an annotated data set for training and evaluating the two machine learning ...

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.

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

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) ...

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.