Jim Mercadante, Chief Commercial Officer at Qure.ai
Qure.ai’s commercial lead, Jim Mercadante explains how clinical AI supports detection, workflow, and access worldwide

At Qure.ai, Jim Mercadante’s work centers on bringing artificial intelligence into everyday clinical practice in a way that supports—not disrupts—how care is delivered.

The company’s technology is applied across radiology, emergency medicine, infectious disease, and clinical research, where it analyzes medical imaging such as X-rays and CT scans to help identify potential abnormalities earlier in the workflow. Rather than replacing clinicians, the system is designed to act as a support layer that highlights urgent or high-risk cases so they can be reviewed more quickly.

Professor Esther Rodriguez Villegas
Professor Esther Rodriguez Villegas on diagnostic pathways, reimbursement, and home testing in sleep apnea care

In everyday clinical practice, symptoms usually appear long before a diagnosis is made. One patient presents with resistant hypertension. Another reports persistent, unrelenting fatigue. A third struggles with attention and concentration at school or work. These cases move routinely through primary care, cardiology, endocrinology, psychiatry, and paediatrics. Yet sleep is rarely placed at the centre of the diagnostic process, even when the pattern of symptoms points strongly in that direction.
As a result, care often focuses on managing downstream effects while the underlying cause goes unrecognised and untested.

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U.S healthcare diagnostics with AI, from imaging to pathology and precision clinical tools.
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