Hyderabad, June 1: Government Niloufer Hospital hosted a Continuing Medical Education programme on Artificial Intelligence in pediatric healthcare, led by Stanford University Professor Dr. Matthew Strehlow.
The session, titled “The AI Augmented Clinician: Transforming Care for the Acutely Sick Child,” was conducted on Friday evening and attended by faculty members, postgraduate students and healthcare professionals from various departments.
AI Pediatric Care Focuses on Better Clinical Decisions
Dr. Matthew Strehlow, Professor of Emergency Medicine and Executive Vice Chair at Stanford University, highlighted the growing role of Artificial Intelligence in pediatric healthcare.
He discussed how AI can assist clinicians in improving decision making, enhancing patient outcomes and delivering more efficient care. He also outlined the limitations, challenges and responsible use of AI in medical practice.
The programme included activity based learning sessions that encouraged participant interaction and discussions on practical applications of AI in clinical settings.
Niloufer Hospital Superintendent Dr. Vijay Kumar and his team welcomed Dr. Strehlow and felicitated him at the conclusion of the programme.
The event was organised as part of the long standing collaboration between GVK EMRI and Stanford University, which has been in place since 2007. The partnership supports knowledge sharing and medical training programmes in government hospitals across India.
Speaking on the occasion, Dr. G.V.K. Raja Narsing Rao, Anaesthesiologist and Critical Care Specialist, appreciated the healthcare services being provided at Niloufer Hospital. He particularly praised the hospital’s neonatal care initiatives, including regular screening of newborns and Retinopathy of Prematurity screening in the Neonatal Intensive Care Unit.
He said such programmes help in the early detection and prevention of vision related complications among premature infants and contribute to improved neonatal healthcare outcomes.
The CME concluded with an interactive question and answer session, allowing participants to discuss the future of AI assisted healthcare and its potential role in pediatric patient care.
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