The Medical Futurist

EyeQue Insight lets anyone test their vision at home so people living in rural areas, with special needs or no access to transportation could still make sure they have the necessary sight test from time to time. Just like the traditional vision testing, it measures each eye separately and then together, revealing the visual acuity on the smartphone screen upon completion. It can also test for contrast sensitivity and colour blindness. Here's a quick rundown! 🙂

AI is making a splash in healthcare, promising to revolutionize everything from diagnosis to treatment. But with all the buzz and technical jargon, it can be hard to separate hype from reality. This study aims to be your one-stop shop for understanding AI in medicine. It's designed specifically for busy medical professionals, with a focus on clear, visual explanations. Here's what you'll find: AI 101: Demystifying the basics of AI technology Explanation of different levels and methods of AI, with real-world medical examples An exploration the potential benefits, limitations, and ethical considerations of AI in healthcare A glimpse into the future: how AI might transform your everyday practice This study is a visual and digestible resource to equip you with the knowledge you need to navigate the exciting – and sometimes confusing – world of AI in medicine.

Cough is a common symptom that has traditionally not been easy to track as a health metric. New digital health technologies, including specialised hardware and artificial intelligence-based software, can provide more details into one’s coughing habit for self-evaluation as well as clinical assessments. In this new article, we'll explore some cough monitoring solutions.

Digital health has exploded in popularity in recent years. We've seen a surge of innovative wearables, from smartwatches with new and improved health tracking features to continuous glucose monitors and even stomach sensors – there's practically a tracker for everything! But digital health's evolution has a much longer history. The milestones on this infographic represent key turning points that shaped the field, adding significant depth and dimension to healthcare. Most importantly, they point us towards a future of empowered patients.  By taking a more active role in their own health management, patients can alleviate the burden on hospitals and become true partners in their care.

The digital health revolution and the rise of AI have ignited a period of unprecedented progress in healthcare. To help you navigate this exciting landscape, I've curated three informative courses that unpack the current state and future direction of these dynamic fields. 1️⃣ 𝐓𝐡𝐞 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡 𝐂𝐨𝐮𝐫𝐬𝐞: An in-depth course to provide you with a complete overview of digital health, guiding you through the technological aspects, and equipping you to be able to predict and forecast what's coming next in healthcare. 2️⃣𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐈𝐧 𝐌𝐞𝐝𝐢𝐜𝐢𝐧𝐞 𝐀𝐧𝐝 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: An overview of the current applications and potential future uses of AI in medicine & healthcare. Through a combination of lectures and hands-on projects, you will gain a clear understanding of this breakthrough technology. 3️⃣𝐀 𝐒𝐡𝐨𝐫𝐭 𝐆𝐮𝐢𝐝𝐞 𝐭𝐨 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐢𝐧 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞: A practical, fast-track course about how generative artificial intelligence could contribute to the practice of medicine and the delivery of healthcare. It only takes 1-2 hours to complete. 𝐘𝐨𝐮 𝐜𝐚𝐧 𝐟𝐢𝐧𝐝 𝐨𝐮𝐭 𝐦𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐡𝐞𝐫𝐞⬇️ https://lnkd.in/eEQaVh2f            

In the spirit of spending time in the future, I’ve taken some time to think about the future of healthcare AI.   In this infographic, I outlined the exciting directions this technology will take through 10 sharp predictions. These insights are a roadmap for decision-makers, healthcare leaders, and policymakers to navigate the AI revolution in healthcare. What’s your opinion? Would you add anything else?

We’ve recently come across some fascinating developments in the field of gene editing: CRISPR GPT, a large language model agent designed to automate the design of gene-editing experiments. This got us thinking: what other ‘specialty GPTs‘ could we think of? What highly specific applications might there be for large language models (LLMs)? We'll explore this topic further in our newest article:

The Guide to the Future of Medicine is an illuminating round-up of the technologies and trends that will shape the future of medicine. Patients, medical professionals, and any healthcare stakeholder will find an eye-opening, reassuring roadmap to tomorrow’s potential in this accessible and fact-based book. Originally published in 2014, it has been updated to reflect the dynamic landscape of #digitalhealth in 2023. This updated version delves into 22 emerging trends that reveal the exciting possibilities for #healthcare in the years to come. It offers insights into the advancements that will shape the future of #medicine and provides practical guidance on how to prepare for it. Get your copy here:  http://amzn.to/1w0O3sx

Medical practices of the future will be marked with novel technologies and, importantly, a cultural transformation, so how can we train doctors today for the patients of the future? Medicine will be materially different, so we listed the main aspects of change in today's article.

One of the most common human fears is going to the dentist, although we all know how crucial oral health is and how strongly it is connected to our overall health. Let’s see what new technologies can do to revolutionize dentistry – and our attitudes. https://lnkd.in/eXtxfeZ