Important Notice for Prospective Lab Members

At AI MIND Lab, we are committed to advancing AI-driven medical research through collaborations supported by robust data agreements. These agreements ensure compliance with ethical standards, privacy regulations, and institutional guidelines, granting access to high-quality datasets essential for our research. Below are our ongoing projects, a brief description of their goals, and their associated collaborations:

• Kidney Cancer Diagnosis and Prognosis Using Visio-Language Models: Developing multimodal AI systems that integrate medical imaging with pathology and clinical text to improve kidney cancer diagnosis, subtype classification, and outcome prediction. 

Collaboration: AdventHealth

• Multimodal AI for Vocal Fold Pathology Detection and Classification:

Developing vision-language and multimodal deep learning models that integrate stroboscopic video, acoustic, and clinical data to detect, classify, and track vocal fold pathologies. This work advances objective voice disorder assessment through explainable and data-efficient AI methods.

Collaboration: Weill Cornell Medicine

• AI-Driven Pipeline for Cardiovascular Imaging in Congenital Heart Disease: Automating cardiovascular imaging analysis and report generation for better diagnosis and monitoring of CHD.

Collaboration: West Virginia University Medicine Children's Hospital

You are welcome to visit me in person during my office hours, held every Thursday from 9:00 AM to 5:00 PM, in Room 319A of the Institute for Artificial Intelligence (IAI) at the Global Building, Main Campus.

To ensure I can offer you my full attention and assistance, please schedule an appointment via email before your visit.

Every Thursday, as the hours unfold from morning to evening, my door opens not only to questions but to dreams, ambitions, and the shared journey of discovery.