All Key Research Areas

Innovative AI Healthcare Solutions & Applications

We explore AI-driven solutions that enhance healthcare delivery by automating clinical processes, streamlining patient care, and improving communication between patients and providers.

Overview

As the field of AI evolves, our research remains adaptive, continuously assessing new methodologies to enhance healthcare resource utilization and improve system-wide efficiencies. We prioritize AI solutions that not only support clinical decision-making and administrative functions but also contribute to the broader goal of making healthcare more accessible, scalable, and precise. Through this work, we aim to drive meaningful advancements in the application of AI across various aspects of modern medicine.

Back to top

Focus

Our research focuses on developing and applying artificial intelligence to address emerging challenges in healthcare, with an emphasis on optimizing workflows, improving operational efficiency, and identifying opportunities for advancement. We explore AI-driven solutions that enhance healthcare delivery by automating clinical processes, streamlining patient care, and improving communication between patients and providers.

Back to top

Testing

By leveraging technologies such as Agentic AI, retrieval-augmented generation (RAG)-enhanced large language models, Embeddings, Model Fine Tuning and Knowledge Graphs, we investigate novel approaches to bridging gaps in healthcare systems. Our work includes AI applications in clinical automation, operational intelligence, and real-time data analysis, ensuring that AI is effectively integrated into diverse medical environments.

Back to top

Representative Studies: 

Pressman SM, Borna S, Gomez-Cabello CA, Haider SA, Forte AJ. AI in Hand Surgery: Assessing Large Language Models in the Classification and Management of Hand Injuries. J Clin Med. 2024 May 11; 13 (10) DOI: 10.3390/jcm13102832

Genovese A, Borna S, Gomez-Cabello CA, Haider SA, Prabha S, Forte AJ, Veenstra BR. Artificial intelligence in clinical settings: a systematic review of its role in language translation and interpretation. AnnTransl Med. 2024 Dec 24; 12 (6):117 Epub 2024 Dec 17 DOI: 10.21037/atm-24-162

Haider SA, Ho OA, Borna S, Gomez-Cabello CA, Pressman SM, Cole D, Sehgal A, Leibovich BC, Forte AJ. Use of Multimodal Artificial Intelligence in Surgical Instrument Recognition. Bioengineering (Basel). 2025 Jan 15; 12 (1) DOI: 10.3390/bioengineering12010072

Haider SA, Prabha S, Gomez-Cabello CA, Borna S, Pressman SM, Genovese A, Trabilsy M, Galvao A, Aziz KT, Murray PM, Parte Y, Yu Y, Tao C, Forte AJ. A Validity Analysis of Text-to-Image Generative Artificial Intelligence Models for Craniofacial Anatomy Illustration. J Clin Med. 2025 Mar 21; 14 (7) DOI: 10.3390/jcm14072136

Trabilsy M, Genovese A, Prabha S, Borna S, Gomez-Cabello CA, Haider SA, Tao C, Forte AJ. Utilizing Generative Text-to-Image AI Models to Explore Race, Gender, and Age in Plastic and Aesthetic Surgery. Aesthet Surg J. 2025 May 16 [Epub ahead of print] DOI: 10.1093/asj/sjaf084

Haider SA, Prabha S, Gomez-Cabello CA, Borna S, Genovese A, Trabilsy M, Elegbede A, Yang JF, Galvao A, Tao C, Forte AJ. Facial Analysis for Plastic Surgery in the Era of Artificial Intelligence: A Comparative Evaluation of Multimodal Large Language Models. J Clin Med. 2025 May 16; 14 (10) DOI: 10.3390/jcm14103484

Back to top