Zobrazeno 1 - 10
of 468
pro vyhledávání: '"Demner‐Fushman, Dina"'
Autor:
Gupta, Deepak, Demner-Fushman, Dina
One of the key goals of artificial intelligence (AI) is the development of a multimodal system that facilitates communication with the visual world (image and video) using a natural language query. Earlier works on medical question answering primaril
Externí odkaz:
http://arxiv.org/abs/2412.11056
With the advancement of large language models (LLMs), the biomedical domain has seen significant progress and improvement in multiple tasks such as biomedical question answering, lay language summarization of the biomedical literature, clinical note
Externí odkaz:
http://arxiv.org/abs/2411.18069
Autor:
Soni, Sarvesh, Demner-Fushman, Dina
Regular documentation of progress notes is one of the main contributors to clinician burden. The abundance of structured chart information in medical records further exacerbates the burden, however, it also presents an opportunity to automate the gen
Externí odkaz:
http://arxiv.org/abs/2410.12845
The increase in the availability of online videos has transformed the way we access information and knowledge. A growing number of individuals now prefer instructional videos as they offer a series of step-by-step procedures to accomplish particular
Externí odkaz:
http://arxiv.org/abs/2309.12224
Autor:
Gupta, Deepak, Demner-Fushman, Dina
Pre-trained language models (PLMs) have proven to be effective for document re-ranking task. However, they lack the ability to fully interpret the semantics of biomedical and health-care queries and often rely on simplistic patterns for retrieving do
Externí odkaz:
http://arxiv.org/abs/2305.04344
Though exponentially growing health-related literature has been made available to a broad audience online, the language of scientific articles can be difficult for the general public to understand. Therefore, adapting this expert-level language into
Externí odkaz:
http://arxiv.org/abs/2210.12242
Nearest neighbor search (NNS) aims to locate the points in high-dimensional space that is closest to the query point. The brute-force approach for finding the nearest neighbor becomes computationally infeasible when the number of points is large. The
Externí odkaz:
http://arxiv.org/abs/2210.02401
Clinical language processing has received a lot of attention in recent years, resulting in new models or methods for disease phenotyping, mortality prediction, and other tasks. Unfortunately, many of these approaches are tested under different experi
Externí odkaz:
http://arxiv.org/abs/2209.14377
The quest for seeking health information has swamped the web with consumers' health-related questions. Generally, consumers use overly descriptive and peripheral information to express their medical condition or other healthcare needs, contributing t
Externí odkaz:
http://arxiv.org/abs/2206.06581
This paper introduces a new challenge and datasets to foster research toward designing systems that can understand medical videos and provide visual answers to natural language questions. We believe medical videos may provide the best possible answer
Externí odkaz:
http://arxiv.org/abs/2201.12888