My life has been fairly isolated over the last week. I have made advances in my understanding of computer vision replicating the Harris corner detection algorithm, achieving the following result: If you're interested in the mathematical logic and code used to achieve this result download the brief guide I wrote on this here: [harris_corner_detection_readme]. I'm … Continue reading Big data/machine learning is coming to healthcare. And it’s through the smart watch.
Author: maxwellflitton
Want to dip your toe into tech innovation? Forget smartphone app development
It's great that so many doctors and nurses want to get involved in tech innovation. There are clearly loads of areas that apps can improve. Work flow and communication is begging to be streamlined and doctors and nurses have to insight to solve these problems. However, there is one thing I have to point out … Continue reading Want to dip your toe into tech innovation? Forget smartphone app development
Bryan Podcast: Episode 7
I and Nathan Blake generally talk about med tech and clinical innovation in a relaxed fashion. In this episode, we cover Trump, artificial intelligence and how it could evolve in society and as always the way politics abuses science and data.
Book suggestion: Algorithms to Live by: The Computer Science of Human Decisions
This book is not only interesting, it's surprisingly general. I myself love doing math and looking through algorithms. The smoother the algorithm the more excited I get. However, I'm recommending this because it does an amazing job of stripping down the essential components of the algorithm in basic terms and applying it to real life situations. … Continue reading Book suggestion: Algorithms to Live by: The Computer Science of Human Decisions
You’re playing Monopoly wrong! How does this reflect on clinical decision making and machine learning?
This Christmas I was in between night shifts. As a result, a kind long term friend took me in for Christmas dinner when I woke up at 6pm. Let some of my other friends he was a boardgame enthusiast, so it wasn't surprising that we spent a couple of hours after dinner playing a boardgame. As … Continue reading You’re playing Monopoly wrong! How does this reflect on clinical decision making and machine learning?
Increasing computational power empowers clinicians
I love this time of year. The air is sharp and fresh enough to perk me up in the morning. I find myself being able to reset my body clock from the 3am internet addiction. A lot has happened over the past couple of months. The MSc is now in full swing and the more and … Continue reading Increasing computational power empowers clinicians
How much is your idea worth?
If you're a clinician there is no doubt that you've spotted a problem and thought of a possible solution. This is having an idea, but how much is it worth? In my previous posts, I have been a little flat with the value of ideas, I've generally said that they are not worth much. If … Continue reading How much is your idea worth?
What can Dyson tell us about success?
I've fallen in love with audible. I can pack in a few extra words of wisdom when I'm walking, doing laundry, cooking etc. Definitely an improvement from the random patchy music I listen to on the youtube app. I've got through a range of self-improvement, business, and biographical books. I liked the first one and then got lazy … Continue reading What can Dyson tell us about success?
Bryan Podcast: Episode 6
In this episode, I and Nathan explore the hype around machine learning and the over hype of science. The podcast is up to an hour long, is tangential and also contains personal anecdotes and light politics. As opposed to the inspirational clinicians section that tries to pack information into a short interview this is for … Continue reading Bryan Podcast: Episode 6
Realities of med-tech success
The other day I went to a talk by an investor at MD Start. Considering our ever-increasing reliance on med tech the average clinician would be forgiven to think that investment in med tech is booming. Although potentially millions can be made if your invention makes it this doesn’t mean that there are people lining … Continue reading Realities of med-tech success
