5 papers
Infection-Reasoner: A Compact Vision-Language Model for Wound Infection Classification with Evidence-Grounded Clinical Reasoning
Palawat Busaranuvong, Reza Saadati Fard, Emmanuel Agu +4
Assessing chronic wound infection from photographs is challenging because visual appearance varies across wound etiologies, anatomical locations, and imaging conditions. Prior imag…
FT-ARM: Fine-Tuned Agentic Reflection Multimodal Language Model for Pressure Ulcer Severity Classification with Reasoning
Reza Saadati Fard, Emmanuel Agu, Palawat Busaranuvong +5
Pressure ulcers (PUs) are a serious and prevalent healthcare concern. Accurate classification of PU severity (Stages I-IV) is essential for proper treatment but remains challenging…
Explainable, Multi-modal Wound Infection Classification from Images Augmented with Generated Captions
Palawat Busaranuvong, Emmanuel Agu, Reza Saadati Fard +4
Infections in Diabetic Foot Ulcers (DFUs) can cause severe complications, including tissue death and limb amputation, highlighting the need for accurate, timely diagnosis. Previous…
Multimodal AI on Wound Images and Clinical Notes for Home Patient Referral
Reza Saadati Fard, Emmanuel Agu, Palawat Busaranuvong +4
Chronic wounds affect 8.5 million Americans, particularly the elderly and patients with diabetes. These wounds can take up to nine months to heal, making regular care essential to…
Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers
Palawat Busaranuvong, Emmanuel Agu, Deepak Kumar +4
To detect infected wounds in Diabetic Foot Ulcers (DFUs) from photographs, preventing severe complications and amputations. Methods: This paper proposes the Guided Conditional Diff…