2 citations · 3 across the 4 of their papers we have counts for
4 papers
From Sound to Symptom: Real-Time Respiratory Signal Understanding for Conversational Healthcare Agents
Tanmay Laud, Herprit Mahal, Subhabrata Mukherjee
Cough events during live spoken conversations carry clinically valuable respiratory signals, yet existing dialogue systems treat them as acoustic noise to be discarded. We present…
Perfecting Human-AI Interaction at Clinical Scale. Turning Production Signals into Safer, More Human Conversations
Subhabrata Mukherjee, Markel Sanz Ausin, Kriti Aggarwal +24
Healthcare conversational AI agents shouldn't be optimized only for clean benchmark accuracy in production-first regime; they must be optimized for the lived reality of patient con…
Assessing the Quality of AI-Generated Clinical Notes: A Validated Evaluation of a Large Language Model Scribe
Erin Palm, Astrit Manikantan, Mark E. Pepin +2
In medical practices across the United States, physicians have begun implementing generative artificial intelligence (AI) tools to perform the function of scribes in order to reduc…
Towards Leveraging Large Language Models for Automated Medical Q&A Evaluation
Jack Krolik, Herprit Mahal, Feroz Ahmad +2
This paper explores the potential of using Large Language Models (LLMs) to automate the evaluation of responses in medical Question and Answer (Q\&A) systems, a crucial form of Nat…