
Artificial intelligence-based tools can help haematologists analyse clinical data, predict disease progression and plan treatment for complex blood disorders, experts said at a two-day orientation programme for young haematologists at King George's…
Artificial intelligence-based tools can help haematologists analyse clinical data, predict disease progression and plan treatment for complex blood disorders, experts said at a two-day orientation programme for young haematologists at King George's Medical University (KGMU) in Lucknow. The All India conference for young hematologists orientation program (YHOP) brought together final-year DM clinical haematology scholars from across the country.

The training focused on machine learning algorithms, predictive models and their use in clinical decision-making and patient management. Experts stressed that while AI can help identify patterns in large datasets and assess risks, clinical judgement must remain central to patient care. KGMU vice-chancellor Prof Soniya Nityananda said AI is becoming an important part of modern medicine but must be used responsibly with patient care as the focus.
The programme also covered medical ethics, palliative care, patient counselling and medico-legal documentation. Participants were sensitised to ethical issues related to AI and patient data, including the need to verify AI-generated predictions against clinical findings before making treatment decisions. The orientation aimed to prepare graduating specialists for consultant-level responsibilities in government and private hospitals.
The YHOP programme comes as Indian haematology faces a shortage of trained specialists, with only a few dozen DM seats produced annually. AI's role in pattern recognition could help bridge the gap in smaller cities where expert haematologists are scarce. However, the emphasis on verifying AI predictions against clinical findings reflects concerns over liability and patient safety. KGMU's focus on medico-legal training suggests awareness that AI-generated recommendations could lead to disputes if not properly documented. The next step will be whether institutions adopt these AI tools in routine care or limit them to research settings, a decision that will affect thousands of thalassemia and haemophilia patients.
Source: health.economictimes.indiatimes.com
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