HebrewNLP &BetaKnesset, Automatic Speech-Based Checklist for Medical Simulations
Details
Agenda (Wednesday, April 28th):
19:30-19:35 - Mentoring program introduction
19:35-20:05 - Roey Almog, Founder of Infoneto Ltd, that specializes in multilingual semantic search and unstructured data parsing using Natural Language Processing.
Building a cloud based Hebrew Natural Language processing
In the talk we will tell the story behind hebrew-nlp.co.il, how we build and improve it and most important part is how to use it in your projects - this is a hands on presentation/tutorial, bring your laptop and try some code yourself.
20:05- 20:15 - Yoav Tepper and Omer Perry - Software engineers with a great passion for data projects
Short demo of our use in the HebrewNLP API. https://betaknesset.com
20:15-21:00 - Sapir Gershov - M.Sc. student in the Technion Autonomous Systems Program
Automatic Speech-Based Checklist for Medical Simulations
Medical simulators provide a controlled environment for training and assessing clinical skills. However, as an assessment platform, it requires the presence of an experienced examiner to provide performance feedback, commonly preformed using a task specific checklist. This makes the assessment process inefficient and expensive. Furthermore, this evaluation method does not provide medical practitioners the opportunity for independent training. Ideally, the process of filling the checklist should be done by a fully-aware objective system, capable of recognizing and monitoring the clinical performance. To this end, we have developed an autonomous and a fully automatic speech-based checklist system, capable of objectively identifying and validating anesthesia residents’ actions in a simulation environment. Based on the analyzed results, our system is capable of recognizing most of the tasks in the checklist: F1 score of 0.77 for all of the tasks, and F1 score of 0.79 for the verbal tasks.
Developing an audio-based system will improve the experience of a wide range of simulation platforms. Furthermore, in the future, this approach may be implemented in the operation room and emergency room. This could facilitate the development of automatic assistive technologies for these domains.
You are all invited to join the NLP IL community at: https://www.facebook.com/groups/2752846491451584 https://www.linkedin.com/groups/13834904/
Register to be our next lecturer : https://forms.gle/ZwV2k8qpXkoFg9rs8