Beyond QA: The Next Wave of Medical Chatbots
By HIT Consultant
/ November 30, 2023
David Talby, CTO, John Snow Labs Chatbots have come a long way since inception. While we’ve long used them for...
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NVIDIA Launches Cloud Service for Medical Imaging AI
By HIT Consultant
/ November 29, 2023
What You Should Know: – NVIDIA announced the launch of a cloud service for medical imaging AI, designed to streamline...
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Beyond QA: The Next Wave of Medical Chatbots – MedCity News
By MedCity News
/ November 29, 2023
Chatbots have come a long way since inception. While we’ve long used them for shopping and to expedite customer service...
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Kepler Vision Technologies unveils new lying position detection module
By Digital Health
/ November 29, 2023
Kepler Vision Technologies has announced a brand new feature to its Night Nurse system that analyses a patient’s lying position...
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AI chatbot reduces depression in prenatal and postnatal women
By Digital Health
/ November 29, 2023
A new research study has found that using an artificially intelligent AI chatbot can offer significant emotional and mental support...
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Aidoc Invests $30M to Develop Clinical AI Foundation Model
By HIT Consultant
/ November 29, 2023
What You Should Know: – Aidoc, the leading provider of clinical AI solutions, announced a significant investment of $30M to...
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Are you looking for a way to quickly and accurately summarize healthcare IT articles? Look no further than OpenAI's ChatGPT. But before you dive in, it's important to understand how to get the most out of this powerful tool.
As someone who has been using ChatGPT to summarize healthcare IT articles, I can tell you that the results can be wildly inconsistent. Sometimes, the summaries are spot on and capture the essence of the article in just a few sentences. Other times, the summaries have nothing to do with the article at all.
That's why I decided to start an experiment to see how accurate ChatGPT really is.
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