Generative AI in Healthcare - What You Need to Know – This And More News In Digital Health This Week

Generative AI in Healthcare - What You Need to Know – This And More News In Digital Health This Week

I'm so happy to finally be able to share what we have been working on for months: a new, fast-track course about generative AI in healthcare. While you have one or two cups of coffee or tea, you'll gain a comprehensive understanding of this breakthrough technology – its mechanics, implications, and potential to reshape the medical field.?

It's particularly important to gather that knowledge and understanding when even researchers are using generative AI tools for writing their papers. I just analyzed how the use frequency of two expressions ChatGPT particularly loves changed over the past years. See the chart for how their occurrence skyrocketed recently.

A GUIDE TO GENERATIVE AI IN HEALTHCARE: NEW FAST-TRACK COURSE??

In our latest article, you'll find a detailed explanation of what's on the menu of this new course, what you can expect from it, and an overview of the most important topics it covers.

This short program can be completed in less than two hours and will give you a basic understanding of what to expect from generative AI in healthcare.

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DRUGGPT: NEW AI TOOL COULD HELP DOCTORS PRESCRIBE MEDICINE IN ENGLAND

Oxford University researchers developed DrugGPT which offers a safety net for clinicians when they prescribe medicines and gives them information that may help their patients better understand why and how to take them.

"Doctors and other healthcare professionals who prescribe medicines will be able to get an instant second opinion by entering a patient’s conditions into the chatbot. Prototype versions respond with a list of recommended drugs and flag up possible adverse effects and drug-drug interactions."

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INVEST IN DIGITAL HEALTH - THE MEDICAL FUTURIST'S GUIDE

This guide is aimed to serve as an executive summary for those interested in investing in digital health. In it we analyse 24 promising technological trends; take a closer look at famous and notorious examples of companies that succeeded brilliantly or failed tragically in the industry; and the lessons investors can learn from them.

From exciting opportunities to digital health stories that leave a bitter taste in investors’ mouths following unfulfilled promises, anyone interested in digital health can get additional insights by analysing investments in the field.

GET IT HERE

RESEARCHERS 3D PRINT NEW ULTRA-REALISTIC HEART AND LUNG MODELS THAT CAN BLEED, BEAT, AND BREATH

"Designed for organ transplant training, the lifelike models reportedly reflect the tactile qualities of a human heart and can be produced with various tissue hardness levels.

Using the models, medical professionals can plan surgeries and safely research and teach transplant procedures, without the risk of complications."

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EXPLAINED IN ONE MINUTE:

SMALL LANGUAGE MODELS IN HEALTHCARE

We have discussed large language models (LLMs) like ChatGPT extensively on our YouTube channel before, but it's time to talk about something that's a seemingly less popular topic yet: small language models.

Running on an average phone and requiring no Internet connection, these can become valuable specialized tools for well-defined medical purposes. In this short, minute-long video, I'll quickly explain the basics.

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TECHNOBABBLE TO ENGLISH: A BUZZWORD GUIDE FOR MEDICAL AI AND DIGITAL HEALTH

Radiomics? Theranostics? Value-based? Navigating AI in medicine and digital health can feel like ordering a coffee at that new hipster café downtown: exciting yet slightly overwhelming with a menu that seems to be in a different language.

Here is our survival guide in the bewildering world of digital health terminology, decoding the lingo – ensuring you’re not just nodding along when discussing these topics.

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DIABETES PATIENTS TO BE OFFERED ARTIFICIAL PANCREAS TECHNOLOGY

There is a technology (closed-loop artificial pancreas systems) that can improve the quality of life and reduce the risk of long-term health complications for patients with diabetes. But the NHS warned that it might take 5 years for everyone eligible to be able to try it.

"The new technology is intended to help prevent people with type 1 diabetes experiencing life-threatening low or high blood glucose levels, which can lead to unconsciousness and can even be fatal. And it also helps to improve overall blood sugar control, which means the chance of complications - like heart disease, eyesight problems, and kidney disease - decreases."

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MORE NEWS ABOUT THE FUTURE OF MEDICINE

8 LANGUAGES –? WHO releases generative AI health promotion tool called S.A.R.A.H.

SYMPTOM RADAR –? Oura’s experimenting with a feature to detect early changes in your health

PROOF OF CONCEPT? –? ‘Mini liver’ will grow in person’s own lymph node in bold new trial

TEDIOUS WORK? – Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis

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DER BUNTE VOGEL ?? Internationaler Wissenstransfer - Influencerin bei Corporate Influencer Club | Wirtschaftswissenschaften

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