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A left lung mass after induction and tracheal intubation, which partially was obstructing the left main bronchus, was accidentally discovered in a 56-year-old female scheduled to undergo elective total thyroidectomy. Her preoperative chest X-ray showed a right-sided shift of the trachea. She did not have stridor or shortness of breath or superior vena cava obstructive syndrome. Induction and tracheal intubation were performed uneventfully. Fiberoptic bronchoscopy performed and showed complete obstruction on the left main bronchus. Excision biopsy suggested mucoepidermoid carcinoma (MEC). MEC is one of the very rare neoplasms of the lungs. Most lesions are low grade and overall prognosis may be more favorable than other forms of lung cancer.

Artificial intelligence (AI) is powering medical laboratories in modern healthcare by enhancing diagnostic capabilities and operational efficiency. This review explores the transformative role of AI in laboratory medicine, from advanced diagnostic tools such as deep learning and machine learning to applications such as genetic analysis, automated microscopy, and predictive analytics. AI enhances testing utilization, streamlines workflows, and supports personalized medicine by leveraging massive datasets for accurate and timely diagnosis. Despite its potential, challenges such as data privacy, algorithmic bias, and regulatory compliance hinder seamless integration. Future developments, including explainable AI, smart labs, and remote diagnostic tools, promise to expand access to healthcare, improve patient outcomes, and optimize laboratory operations.