Clinical AI
Clinician-led exploration of responsible artificial intelligence for endocrine care
Clinician-led technology
Artificial intelligence can support selected parts of endocrine assessment when it is used transparently, reviewed by a qualified clinician, and interpreted alongside the patient's history, examination, and investigations.
This page presents Dr. Durairaj Arjunan's work and interest at the intersection of endocrinology and responsible clinical AI. The current featured application is a clinician-guided bone age workflow.
Featured Clinical Decision-Support Tool
Bone age is an estimate of skeletal maturity based on a hand and wrist radiograph. Comparing skeletal age with chronological age can help clinicians assess whether a child's bones are maturing as expected.
This comparison can add useful context when evaluating growth, pubertal timing, and endocrine conditions. The Neurabrix tool supports the review workflow with an age estimate, range, and reference images for clinician assessment.
The result is decision support, not a diagnosis. It should be interpreted with the child's history, examination, and other investigations by an appropriately trained clinician.
Demo Video
Bone age assessment may form one part of a broader endocrine evaluation. The appropriate investigation and interpretation depend on the individual clinical question.
Clinical profile: Dr. Durairaj Arjunan, MBBS, MD Internal Medicine, DM Endocrinology. Page updated 2026-08-22. This general information is not a diagnosis or treatment plan.
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