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In this short post, we show how demographic representation varies across a sample of the chronosig data and discuss how this impacts the projects aims

FREE online and inperson one-day mini-conference. Are you interested in Artificial Intelligence applied to mental health? Want to learn about the sociotechnical aspects of AI? We’ve got your covered … Head to our Events page for more information and to register

VOLUNTEERS NEEDED FOR ONLINE STUDY OF ARTIFICIAL INTELLIGENCE ASSISTED DECISION MAKING University of Oxford Central University Research Ethics Committee Reference: R80680/RE001 With new advances in artificial intelligence, clinical decision support tools (CDSTs) are an area of technology assisted healthcare that are receiving increasing attention.

Led by Niall Taylor and Yi Zhang, a new paper on prompt-based learning for clinical support tasks. A major concern in the field of Natural Language Processing (NLP) is that even the largest pre-trained language models, such as GPT-3, do not perform well on specialized domains such as clinical texts.

Welcome to the chronosig project website. We’re in the middle of getting the chronosig project up and running after the official project start in November 2021. You can read a description of the project here

Niall Taylor recently published his conference paper (for the ML4H Conference) on pilot work using InfoCal for explainability and rationale production in NLP

Julia Hamer-Hunt explores how public and patient involvement features in the chronosig project