Laboratory-developed machine learning in chemical pathology: an interactive guide from problem formulation to model evaluation

Artificial intelligence is transforming healthcare, including the field of laboratory medicine. Nonetheless, laboratory-driven machine learning (ML) initiatives remain uncommon, often due to the perceived complexity and limited practical guidance available. To bridge this gap, laboratory professionals need accessible opportunities to learn the core concepts, applications, and challenges of machine learning.