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SNIST Hosts AI in Healthcare Faculty Development Program

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  Published in Health and Fitness on Thursday, January 8th 2026 at 9:50 GMT by Telangana Today

Hyderabad, India - January 8th, 2026 - Sreenidhi Institute of Science and Technology (SNIST) recently concluded a six-day AICTE ATAL Faculty Development Program (FDP) focused on 'Intelligent Healthcare Systems', signaling a growing national push to integrate Artificial Intelligence (AI) into medical education and practice. The program, held at SNIST's Hyderabad campus, aimed to equip faculty with the crucial skills and knowledge needed to navigate the rapidly evolving landscape of AI in healthcare.

The FDP's timing is particularly noteworthy. Over the past few years, AI has transitioned from theoretical possibility to practical application in numerous areas of healthcare, from diagnostics and drug discovery to personalized medicine and patient monitoring. This surge in adoption necessitates a corresponding upskilling of educators to ensure future generations of healthcare professionals are well-versed in these transformative technologies. The AICTE's (All India Council for Technical Education) commitment, through the ATAL scheme, demonstrates a clear recognition of this need.

Participants in the SNIST program benefited from a curriculum designed to provide a comprehensive overview of key AI concepts and their application to healthcare. The program wasn't simply a theoretical exploration; it delved into practical skills using technologies like Machine Learning (ML), Deep Learning (DL), and Data Analytics. These aren't buzzwords, but core tools driving innovations like AI-powered diagnostic imaging, predictive models for disease outbreaks, and robotic surgery assistance. Participants were exposed to the fundamentals of these technologies and, crucially, how to apply them to real-world healthcare challenges.

What set this FDP apart was the caliber of expertise brought in. SNIST collaborated with leading institutions - IIIT Hyderabad, NIT Warangal, and JNTU Hyderabad - to secure instructors who are actively shaping the field. These experts shared not only technical knowledge but also insights into current research, emerging trends, and the ethical considerations surrounding AI in healthcare. Topics ranged from a foundational introduction to AI's role in medicine to specialized areas like advanced medical image analysis, where AI algorithms can assist radiologists in detecting subtle anomalies, and predictive analytics, which leverages data to anticipate patient needs and prevent complications.

Speaking at the valedictory function, Dr. P. Ravinder Reddy, Principal of SNIST, emphasized that AI is no longer a futuristic concept but an integral component of modern healthcare. He stated that continuous learning and adaptation are essential for faculty to effectively prepare students for a future where AI is commonplace in clinical settings. Dr. N.V. Ramana Rao, Director of the Center for Continuing Education at JNTU Hyderabad, echoed this sentiment, highlighting the transformative potential of AI and the importance of bridging the gap between academic knowledge and practical application.

The success of the SNIST FDP underscores a broader trend: a growing demand for AI-related skills across all sectors, but particularly in healthcare. Hospitals and clinics are actively seeking professionals who can develop, implement, and maintain AI-powered systems. This creates a compelling need for educational institutions to revamp their curricula and provide faculty with the tools to deliver relevant, cutting-edge training. SNIST's initiative signals a proactive approach to meeting this demand.

The institute has already announced plans to host further programs focused on Artificial Intelligence, solidifying its commitment to fostering innovation and contributing to advancements in healthcare technologies. This expansion is expected to include specialized FDPs targeting specific AI applications within healthcare, such as telehealth, personalized medicine, and drug discovery. The program's focus on empowering faculty represents a significant investment in the future of healthcare education and, ultimately, patient care. The ripple effect of this training will be felt by students who will enter the workforce equipped with the skills to leverage AI for improved diagnosis, treatment, and patient outcomes.