Indian American data engineer Nithin Reddy Desani, an expert in AI and machine learning for healthcare, gained international recognition at the 2024 Global AI Summit, organized by the Institute of Electrical and Electronics Engineers (IEEE).

His research, titled "Optimized Hybrid Deep Neural Networks for Efficient Alzheimer's Disease Classification," received praise for its significant impact on healthcare, especially in identifying Alzheimer's at an early stage.

The study, presented to a distinguished audience of AI and technology experts, introduced a hybrid neural network model that combines advanced optimization methods like Particle Swarm Optimization (PSO) and Resquare Optimization Algorithms (ROA).

Desani's model achieved a remarkable accuracy of 97.75 percent, surpassing traditional diagnostic techniques. This breakthrough holds the potential to detect Alzheimer's earlier, potentially revolutionizing patient care.

As a senior member of IEEE, Desani's contributions to AI and healthcare are evident. His model utilizes neuroimaging data from T1-weighted MRI and Florbetapir PET scans, employing a multi-modal approach to detect subtle brain changes that conventional diagnostics often miss. The research emphasizes scalability, ensuring its application in clinical settings globally, benefiting millions of patients.

"This research showcases the transformative impact of AI in healthcare. Our hybrid neural network model is not only more accurate than traditional diagnostic methods but also scalable and ready for deployment in real-world clinical environments. Receiving recognition at the IEEE Global AI Summit is an incredible honor and a testament to AI’s ability to improve lives," Desani commented.

Desani's research, conducted with the collaboration of experts like Anandaganesh Balakrishnan, Preethi Palanisamy, and Saigurudatta Pamulaparthyvenkata, reflects a global initiative to tackle major healthcare challenges.

Desani earned a BTech degree from Jawaharlal Nehru Technological University, Delhi, and an MTech degree from Rivier University, specializing in Computer Engineering.