Recently, our Data Analytics graduate students made a significant impact at the IEEE Conference on Artificial Intelligence (CAI) 2025, held in Santa Clara, California. They delivered two presentations that highlighted innovative research in healthcare AI.

The IEEE CAI is an international conference and exhibition focused on the applications of AI and key verticals that drive innovation across industries.

Congratulations to our outstanding students! These achievements highlight Clark’s expanding influence within the global AI research community.

Presentation highlights from the conference

• Deep Learning-Based CAD System for ECG Image Classification
  The research presented an improved CNN-based method for detecting myocardial infarction from ECG images, using a novel image-cleaning technique and MultiVision architecture to enhance accuracy.
  Keerthana Goka, Kunal Malhan, Shail Jyala, Shubhika J., Prathamesh Kulkarni, Ahmed ElSayed, Khald Aboalayon

• Multinomial Classification Deep Learning Approach for Knee Osteoporosis
  This work focused on developing a deep learning model to classify various stages of osteoporosis from knee X-rays using fine-tuned CNN architectures to support early diagnosis.
  Nithin Rachakonda, Jothsna Praveena, Naveena C., Sai Nithisha Marripelly, Khald Aboalayon, Ahmed ElSayed

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