Aburizik, Arwa

Abstract Aims Syncope remains a diagnostic challenge despite advancements in testing and treatment. Cardiac syncope is an independent predictor of mortality and can be difficult to distinguish from other causes of transient loss of consciousness (TLOC). This paper explores whether artificial intelligence (AI) can improve the evaluation and management of patients with syncope. Methods and results We conducted a literature review and incorporated the opinions of experts in the fields of syncope and AI. The cause of TLOC is often unclear, hospitalization criteria are ambiguous, diagnostic tests are frequently non-informative, and assessments are costly. Patients are left with unanswered questions and limited guidance. Artificial intelligence (AI) has the potential to optimize syncope evaluation by processing large data sets, detecting imperceptible patterns, and assisting clinicians. However, AI has limitations, including errors, lack of human empathy, and uncertain clinical utility. Liability issues further complicate its integration. We present three viewpoints: (i) AI is crucial for advancing syncope management; (ii) AI can enhance the patient experience; and (iii) AI in syncope care is inevitable. Conclusion Artificial intelligence may improve syncope diagnosis and management, particularly through machine learning–based test interpretation and wearable device data. However, it has yet to surpass human clinical judgment in complex decision-making. Current challenges include gaps in understanding syncope mechanisms, AI interpretability, generalizability, and clinical integration. Standardized diagnostic approaches, real-world validation, and curated data sets are essential for progress. Artificial intelligence may enhance efficiency and communication but raises concerns regarding confidentiality, bias, inequities, and legal implications.

A patient presented with neuromuscular, respiratory and cardiac symptoms and was initially diagnosed with amyotrophic lateral sclerosis (ALS), myocardial ischaemia and pneumonia. He developed unexplained progressive kidney failure over the ensuing week, and his kidney biopsy showed thrombotic microangiopathy that led to the correct diagnosis of normotensive scleroderma renal crisis. His clinical presentation and course were consistent with systemic sclerosis and normotensive scleroderma renal crisis. He was treated with an ACE inhibitor (ACEi) and haemodialysis with significant functional improvement over the next 3 months to his prior baseline with the exception of kidney failure. This case highlights a diagnostic challenge requiring astute history and physical examination skills, and the value of a kidney biopsy in providing the final diagnosis.