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cs.CV2025
Skin-SOAP: A Weakly Supervised Framework for Generating Structured SOAP Notes
Sadia Kamal, Tim Oates, Joy Wan
Skin carcinoma is the most prevalent form of cancer globally, accounting for over $8 billion in annual healthcare expenditures. Early diagnosis, accurate and timely treatment are c…
cs.CV2025
Towards Scalable SOAP Note Generation: A Weakly Supervised Multimodal Framework
Sadia Kamal, Tim Oates, Joy Wan
Skin carcinoma is the most prevalent form of cancer globally, accounting for over $8 billion in annual healthcare expenditures. In clinical settings, physicians document patient vi…
cs.CV2025
MedGrad E-CLIP: Enhancing Trust and Transparency in AI-Driven Skin Lesion Diagnosis
Sadia Kamal, Tim Oates
As deep learning models gain attraction in medical data, ensuring transparent and trustworthy decision-making is essential. In skin cancer diagnosis, while advancements in lesion d…