Artificial Intelligence in the Clinical Laboratory: Current Practice and Emerging Opportunities
Jason M. Baron, Editor
Artificial intelligence (AI) has become ubiquitous in many areas outside of health care with application so wide-ranging to include agricultural decision making, smartphone navigation, e-mail spam detection, predictive text, targeted marketing, environmental protection, criminal sentencing, employee hiring, and robotics among thousands of others. Clinical practice lags behind many other areas in terms of AI adoption, still relying primarily on manual human decision making. Nonetheless, clinical AI development and adoption are progressing and are poised to play a central role in many aspects of clinical practice in future decades, if not sooner. Indeed, AI is already integral to mission critical processes in some clinical laboratories. Thus, it is essential that pathologists, laboratorians, and others in health care gain at least a basic understanding of AI.