9 citations · 10 across the 3 of their papers we have counts for
7 papers
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani +4
The records of a clinical encounter can be extensive and complex, thus placing a premium on tools that can extract and summarize relevant information. This paper introduces the tas…
Neural Inverse Text Normalization
Monica Sunkara, Chaitanya Shivade, Sravan Bodapati +1
While there have been several contributions exploring state of the art techniques for text normalization, the problem of inverse text normalization (ITN) remains relatively unexplo…
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA
Karina Kanjaria, Anup Pillai, Chaitanya Shivade +4
Due to advances in machine learning and artificial intelligence (AI), a new role is emerging for machines as intelligent assistants to radiologists in their clinical workflows. But…
Leveraging Medical Visual Question Answering with Supporting Facts
Tomasz Kornuta, Deepta Rajan, Chaitanya Shivade +2
In this working notes paper, we describe IBM Research AI (Almaden) team's participation in the ImageCLEF 2019 VQA-Med competition. The challenge consists of four question-answering…
Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models
Oren Melamud, Chaitanya Shivade
Large-scale clinical data is invaluable to driving many computational scientific advances today. However, understandable concerns regarding patient privacy hinder the open dissemin…
Lessons from Natural Language Inference in the Clinical Domain
Alexey Romanov, Chaitanya Shivade
State of the art models using deep neural networks have become very good in learning an accurate mapping from inputs to outputs. However, they still lack generalization capabilitie…