Tag: nlp

Having a conversation with an article through natural language processing

Nov 6, 2022

in AI, Clinical

academic writing, artificial intelligence, explainpaper, GPT-3, language models, natural language processing, nlp, physiotherapy, writing

Thanks to Ben Gordon for pointing me towards explainpaper. In How to read a book (1972), Mortimer Adler says that “Reading…should be a conversation between you and the author.” Which is why I don’t read without a figurative pen in my hand; As I’m reading I want to mark up the text with questions and…
How to replace a physiotherapist (or any professional, really)

Jun 4, 2021

in AI, Clinical, Physiotherapy

artificial intelligence, clinical decision support, clinical practice, clinical reasoning, emerging technology, expertise, gait analysis, image recognition, natural language processing, nlp, physiotherapy, professional practice, professions, tasks, video analysis

Rowe, M., Nicholls, D. A., & Shaw, J. (2021). How to replace a physiotherapist: Artificial intelligence and the redistribution of expertise. Physiotherapy Theory and Practice. I’m really excited to finally share this article that I’ve been working on for a couple of years with David Nicholls and Jay Shaw. I say a couple of years…
Comment: Amazon Transcribe Medical

Dec 12, 2019

in AI, Clinical, Note

ehr, electronic health record, electronic medical record, emr, maching learning, natural language processing, nlp

The new machine learning-powered service, Amazon Transcribe Medical, will allow physicians to quickly dictate their clinical notes and speech into accurate text in real time, without any human intervention, Amazon claims. Perez, S. (2019). Amazon debuts automatic speech recognition service, Amazon Transcribe Medical. Techcrunch. I use voice recognition on my phone fairly often and am…
Comment: How AI could become an extension of your mind.

Dec 9, 2019

in AI, Note

natural language processing, nlp, text to speech

AlterEgo has sensors, embedded in a thin plastic, flexible and transparent device that sits on your neck just like a sticker. These sensors pick up on these internal signals sourced deep within the mouth cavity, right from the surface of the skin. An AI program running in the background then tries to figure out what…
Comment: Lessons learned building natural language processing systems in health care

Jun 17, 2019

in AI, Clinical, Note

clinical notes, machine learning, medical language, medical notes, natural language processing, nlp

Many people make the mistake of assuming that clinical notes are written in English. That happens because that’s how doctors will answer if you ask them what language they use. Talby, D. (2019). Lessons learned building natural language processing systems in health care. O’Reilly. This is an interesting post making the point that medical language…
Comment: Training a single AI model can emit as much carbon as five cars in their lifetimes

Jun 14, 2019

in AI, Ethics, Note

carbon footprint, compute, deep learning, environmental costs, machine learning, natural language processing, nlp

The results underscore another growing problem in AI, too: the sheer intensity of resources now required to produce paper-worthy results has made it increasingly challenging for people working in academia to continue contributing to research. “This trend toward training huge models on tons of data is not feasible for academics…because we don’t have the computational…
WCPT poster: Introduction to machine learning in healthcare

May 5, 2019

in AI, Clinical

decision-making, expert systems, healthcare, image recognition, judgement, machine learning, natural language processing, nlp, poster, prediction, robotics, wcpt

My poster and list of references for the WCPT 2019 conference in Geneva.
Mozilla’s Common Voice project

Oct 9, 2018

in AI, Technology

bias, common voice, data, diversity, inclusive, mozilla, natural language processing, nlp

Any high-quality speech-to-text engines require thousands of hours of voice data to train them, but publicly available voice data is very limited and the cost of commercial datasets is exorbitant. This prompted the question, how might we collect large quantities of voice data for Open Source machine learning? Source: Branson, M. (2018). We’re intentionally designing…
Doctors are burning out because electronic medical records are broken

Sep 15, 2018

in AI, Clinical

data capturing, ehr, electronic health record, electronic medical record, emr, natural language processing, nlp, speech recognition, speech-to-text

For all the promise that digital records hold for making the system more efficient—and the very real benefit these records have already brought in areas like preventing medication errors—EMRs aren’t working on the whole. They’re time consuming, prioritize billing codes over patient care, and too often force physicians to focus on digital recordkeeping rather than…
AI Can Now Identify Racist Code Words on Social Media

Sep 7, 2018

in AI, Social media

algorithm, natural language processing, nlp, racism, social media

“We essentially gathered hateful tweets and used language processing to find the other terms that were associated with such messages… We learned these terms and used them as the bridge to new terms—as long as we have those words, we have a link to anything they can come up with.” This defeats attempts to conceal…
Prof Allan Dafoe on trying to prepare the world for the possibility that AI will destabilise global politics

Aug 23, 2018

in AI

computation, machine learning, nlp, self-driving cars

…even if we stopped at today’s AI technology and simply collected more data, built more sensors, and added more computing capacity, extreme systemic risks could emerge, including: 1) Mass labor displacement, unemployment, and inequality; 2)The rise of a more oligopolistic global market structure, potentially moving us away from our liberal economic world order; 3)Imagery intelligence…