Delhi AIIMS hosts workshop on AI in healthcare to empower medicos
New Delhi: The premier health institution, the All India Institute of Medical Sciences (AIIMS), New Delhi hosted a workshop centered on emerging technologies, specifically focusing on Artificial Intelligence (AI) to empower healthcare professionals with the skills needed to harness AI's transformative potential in the medical field.
Dr Kanwalpreet Kochhar, the in-charge of Cognitive Neurophysiology and Nutrition Lab at AIIMS, said the workshop held on Tuesday brought together leading minds in the field of AI and healthcare.
According to the PTI report, she said, “By focusing on practical applications (of AI) and real-world challenges, we are preparing our future healthcare leaders to innovate and improve patient outcomes significantly.”
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Dr Swadeep Srivastav, founder of healthcare marketing agency Healthpresso, said AI represents a paradigm shift in the approach to healthcare delivery.
It offers the ability to analyse vast datasets, uncover hidden patterns, and make informed decisions that enhance patient care, he said.
“However, with this power comes responsibility. We must ensure that AI is deployed ethically and equitably, addressing biases and privacy concerns to truly benefit society,” Srivastav said, news agency PTI reported.
Sonia Dosanjh, scientist at the Centre for Development of Advanced Computing (C-DAC), Mohali, highlighted the importance of technological interventions in healthcare.
“AI offers unprecedented opportunities in data-driven decision-making, disease surveillance, and personalized treatment plans. This workshop is a step towards harnessing these opportunities,” she said.
The workshop underscored the need for specialised AI applications in healthcare, such as development of a healthGPT, which would provide tailored solutions by leveraging healthcare-specific data.
Medical Dialogues team had earlier reported that the All India Institute of Medical Sciences (AIIMS) Delhi has launched a groundbreaking initiative with a pilot project in the Mother and Child Block. This project introduces a sophisticated facial recognition-based access control system (FR-ACS) along with a visitor management system (VMS).
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