Search Results for author: Wael Salloum

Found 12 papers, 0 papers with code

ACR: A Benchmark for Automatic Cohort Retrieval

no code implementations20 Jun 2024 Dung Ngoc Thai, Victor Ardulov, Jose Ulises Mena, Simran Tiwari, Gleb Erofeev, Ramy Eskander, Karim Tarabishy, Ravi B Parikh, Wael Salloum

Identifying patient cohorts is fundamental to numerous healthcare tasks, including clinical trial recruitment and retrospective studies.

Information Retrieval Retrieval

Coupling Symbolic Reasoning with Language Modeling for Efficient Longitudinal Understanding of Unstructured Electronic Medical Records

no code implementations7 Aug 2023 Shivani Shekhar, Simran Tiwari, T. C. Rensink, Ramy Eskander, Wael Salloum

The application of Artificial Intelligence (AI) in healthcare has been revolutionary, especially with the recent advancements in transformer-based Large Language Models (LLMs).

Language Modeling Language Modelling +1

From dictations to clinical reports using machine translation

no code implementations NAACL 2018 Gregory Finley, Wael Salloum, Najmeh Sadoughi, Erik Edwards, Am Robinson, a, Nico Axtmann, Michael Brenndoerfer, Mark Miller, David Suendermann-Oeft

A typical workflow to document clinical encounters entails dictating a summary, running speech recognition, and post-processing the resulting text into a formatted letter.

Machine Translation Punctuation Restoration +3

Deep Learning for Punctuation Restoration in Medical Reports

no code implementations WS 2017 Wael Salloum, Greg Finley, Erik Edwards, Mark Miller, David Suendermann-Oeft

In clinical dictation, speakers try to be as concise as possible to save time, often resulting in utterances without explicit punctuation commands.

Deep Learning Punctuation Restoration +1

Automated Preamble Detection in Dictated Medical Reports

no code implementations WS 2017 Wael Salloum, Greg Finley, Erik Edwards, Mark Miller, David Suendermann-Oeft

Dictated medical reports very often feature a preamble containing metainformation about the report such as patient and physician names, location and name of the clinic, date of procedure, and so on.

Speech Recognition Word Embeddings

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