Chest pain and AI interpretation: The essential role of clinical judgment and quality data

Abstract

Chest pain is a common and complex condition in emergency departments, often complicating the diagnostic process due to its wide range of potential causes. This case report presents a 72-year-old man with chest pain and ST-segment elevation on ECG, initially suggestive of acute coronary syndrom. AI-assisted ECG analysis reinforced this suspicion; however, angiography revealed patent coronary arteries. When his symptoms persisted, further investigation uncovered a pneumothorax. Additional evaluation identified a digitization error affecting the AI interpretation. This case underscores the importance of a comprehensive clinical approach for chest pain and highlights the need for quality data input and alternative imaging, such as thoracic ultrasound, for accurate and timely differential diagnoses.