Med-Gemini: Google's New AI for Healthcare

You know when you're Googling some random medical symptom, like a recurring headache or a mild tummy ache, and Google hits you with:?

"Heart Attack or Cancer. Or both. Next question! ??"

There is a simple reason for that. Google's algorithm is designed to prioritize user safety by erring on the side of caution.?

But hey, we might be leaving all this in the past soon!?

According to a 58-page Google Deep Mind Research, Google's latest brainchild Medical GEMINI can and will revolutionize the field of medical diagnosis.

For those not yet familiar with the basics of Gemini, click, and for the rest of us, let's dive in ??

There's this new technology from Google called Med-Gemini, and it's designed to assist doctors in diagnosis and beyond...

So What Exactly is Med-Gemini?

Med-Gemini is built specifically for the healthcare industry. Think of it as an AI-powered assistant for doctors. It can understand and process different types of medical data – like text reports, X-ray images, and even videos. It then uses this information to help with diagnosing patients, suggesting treatment options, and pushing medical research forward.

Wanna see its development? Let’s look at how it brings some Gemini Magic onto Healthcare with a diagram from Deep Mind ?

But How Do We Measure Its Success?

This is where the benchmarking comes in.

Medical Benchmarking is vital in healthcare for measuring performance to enhance patient care quality. It’s like learning from others to make healthcare better.

Med-Gemini is evaluated on 14 medical benchmarks spanning text, multimodal and long-context applications, establishing new state-of-the-art (SoTA) performance on 10 of them. Scoring 91.1% on tough medical exams like MedQA, it handles complex issues like an experienced doctor. Check out the chart below for comparison!

Data is cool but it’s time to see it in action! ?? Read through a chat between Med-Gemini and a patient carefully.

This is crazy! Considering that the diagnosis of Prurigo Nodularis often requires a biopsy and a blood test. We love Google Search but we see competition ????

Leaving you with one last Med-Gemini workflow before we wrap things up, cherry-picked for the curious reader or should we say the skeptic one? ?? Either way, Advanced Reasoning in Healthcare is good news!

??? Med-Gemini Highlights So Far

• In-depth Analysis: It can process large amounts of patient data, including medical histories, to uncover patterns and insights that can be easily missed.
• Multi-faceted Understanding: Med-Gemini interprets different types of medical information, from X-rays and lab results to patient conversations. Remember how it was asking to see a picture of the wound before??
• Intelligent Decision Support: Through advanced reasoning, Med-Gemini can suggest diagnoses and potential treatment plans, aiding doctors in their decision-making processes.

How Could Med-Gemini Lower Healthcare Costs for Everyone?

Think about the hefty cost of healthcare… To put this in perspective:

United States healthcare spending reached a staggering $4.4 trillion in 2023 (roughly $13,493 per person), while in the UK, government health expenditure exceeded ￡211.6 billion – both figures demonstrating a continuous growth in healthcare costs worldwide.

Med-Gemini could transform healthcare by:

?? Improving diagnosis, reducing wasted time and unnecessary tests.

?? Automating routine tasks to prioritize critical patient care.

?? Enabling early disease detection for more cost-effective treatments.

In short, it could lower patient expenses and overall healthcare costs.

Thanks for Stopping by, See You Again Soon ??

What do you think about Med-Gem? Would you trust AI with your health and well-being??

For more bite-sized Tech News coverage, don’t forget to follow Tech Giants for free! ?? Link right here.

Tech Giants, Co-authored by Sanela Osmanovic & Mihael Gubas

RESOURCES ??

1. Google AI Blog. (n.d.). Introducing Google Gemini: A leap in AI architecture. Retrieved from [https://blog.google/technology/ai/google-gemini-ai/](https://blog.google/technology/ai/google-gemini-ai/)

1. Arxiv. (2024). Med-Gemini: A multimodal approach to medical diagnostics. Retrieved from [https://arxiv.org/pdf/2404.18416]

1. Patalon, T. (2024, May 1). Med-Gemini's lion's roar. Forbes. Retrieved from [https://www.forbes.com/sites/talpatalon/2024/05/01/med-geminis-lions-roar/?sh=2d8bf73d3d72](https://www.forbes.com/sites/talpatalon/2024/05/01/med-geminis-lions-roar/?sh=2d8bf73d3d7)

1. American Medical Association. (n.d.). Trends in health care spending. Retrieved from [https://www.ama-assn.org/about/research/trends-health-care-spending](https://www.ama-assn.org/about/research/trends-health-care-spending)

1. OECD. (2023). Health at a glance 2023: OECD indicators. Retrieved from [https://www.oecd-ilibrary.org/sites/675059cd-en/index.html?itemId=/content/component/675059cd-en](https://www.oecd-ilibrary.org/sites/675059cd-en/index.html?itemId=/content/component/675059cd-en)

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