Bhubaneswar, May 29, ( Newshub Desk) — The advancement of artificial intelligence (AI) in healthcare is reshaping diagnostic procedures, and according to leading endocrinologist Dr. Biswas, AI-powered tools are significantly improving early detection of thyroid disorders.
Thyroid diseases, often subtle in their symptoms, can go unnoticed until complications arise. However, AI algorithms, trained on vast amounts of medical data, are now enabling physicians to detect abnormalities faster and more accurately than traditional methods.
“AI not only enhances diagnostic precision but also reduces the time required for identifying thyroid conditions,” says Dr. Biswas. “With machine learning models analysing patient history and lab results, misdiagnoses can be minimised.”
The application of AI in endocrinology has already seen promising results, particularly in identifying hypothyroidism and hyperthyroidism at earlier stages.
Experts believe that integrating AI tools into routine screening processes could help millions receive timely intervention, improving overall health outcomes.
Despite its advantages, Dr. Biswas emphasises that AI should be viewed as a complementary tool rather than a replacement for medical professionals.
“AI assists doctors, but human expertise and patient interaction remain essential in providing holistic treatment.”
As AI continues to evolve, its role in revolutionising thyroid disorder diagnosis is becoming increasingly evident, paving the way for a future of enhanced healthcare efficiency and accuracy.
