TMU Organises Guest Lecture on Artificial Intelligence in Fetal Monitoring and Obstetric Ultrasound
Moradabad, India – Teerthanker Mahaveer University (TMU), through the OBG Department of the College of Nursing, successfully hosted a specialised guest lecture on the theme “Artificial Intelligence in Fetal Monitoring and Obstetric Ultrasound.” The keynote speaker for the session was Dr. Kanchan Bala, Associate Professor at Himalayan College of Nursing, Swami Rama Himalayan University, Jolly Grant, Dehradun.
Key Highlights of the Lecture
Dr. Kanchan Bala elaborated on the growing significance of Artificial Intelligence (AI) in antenatal and intrapartum care. She explained how AI-enhanced 3D and 4D ultrasound technologies offer improved accuracy in tracking fetal development and can aid in visualising fetal conditions with greater clarity.
She emphasised that:
- AI helps predict potential complications in pregnancy, enabling timely diagnosis and intervention.
- AI-powered non-stress tests (NSTS) can be performed remotely, even at home, offering valuable insights into fetal health and increasing the likelihood of normal deliveries.
- Despite the advantages, challenges such as ethical concerns, patient privacy, and technological limitations still need to be addressed.
Academic Perspectives and Clinical Applications
Dr. S.P. Subhashini, Dean of the Nursing Department at TMU, highlighted how robotics is now extending beyond routine surgeries to labour and delivery procedures, signifying a new era in obstetric care.
Meanwhile, Dr. M. Jasleen, Principal of the Nursing College, underlined the importance of regular ultrasound scans during pregnancy, recommending at least three scans to accurately assess fetal growth and detect any anomalies at the right time.
The lecture was attended by nursing students and healthcare professionals who found the session both educational and inspiring. The integration of AI in maternity care was discussed not only from a technological perspective but also in terms of ethical practice and clinical application.
Faculty and Attendees
The session witnessed the presence of esteemed faculty members, including Prof. Ram Nivas, Prof. V.G. Mall, Shivangi Gupta, Pooja Jha, Chetna Vashisth, Limcy Joseph, among others, who appreciated the relevance of the topic in contemporary nursing and obstetric education.
Conclusion
The guest lecture on “Artificial Intelligence in Fetal Monitoring and Obstetric Ultrasound” at TMU provided a valuable platform for students and professionals to explore the intersection of technology and maternal healthcare. By discussing the scope, benefits, and limitations of AI in obstetrics, the session marked an important step towards innovative, informed, and ethical nursing practices in the digital age.
