Machine Learning Artificial intelligence in drug discovery This was originally shared as part of my weekly email newsletter.I’ve written in the past more formally about how AI may impact different medical specialties, from psychiatry through to intensive care.
Machine Learning Machine learning in medicine in the 2020s: My thoughts I wanted to articulate some of my current thoughts on the state of AI in medicine, so I wrote this stream-of-consciousness reflection. It's pretty rough, and not comprehensive, so I may tidy it
Machine Learning Predicting Acute Kidney Injury with AI (Research Paper Summary) A clinically applicable approach to continuous prediction of future acute kidney injury - Tomašev et al., Nature, July 2019Original article: https://www.nature.com/articles/s41586-019-1390-1One-sentence summaryIn this paper, a research group from
Research Summaries Predicting Hospital Appointment Attendance using Artificial Intelligence (Research Paper Summary) Predicting scheduled hospital attendance with artificial intelligence - Amy Nelson et al., April 2019Original article: https://www.nature.com/articles/s41746-019-0103-3#MOESM1One-sentence summaryIn this paper, a research group from UCL trained an AdaBoost
I'm starting a weekly email newsletter I've decided to start a weekly email newsletter.Its exact content and theme are not yet tightly defined, but it will broadly be a collection of my experiences as a doctor working in
Machine Learning Predicting Hospital No-Shows using Neural Networks [coding exercise] Approximately 20% of medical appointments that are booked are not attended in the UK. This costs an estimated £1 billion annually. If we were able to predict who might not show up, we
Machine Learning Classifying breast cancer with machine learning [Introductory coding exercise] This exercise takes you through the process of training a neural network to classify pathology slides from lymph node samples as malignant vs benign, based on the features of the images.The exercise
Machine Learning How might you use machine learning in a medical career? If you're a healthcare professional with an interest in machine learning (ML), but unsure how can combine it with your career, then we hope you'll find this post useful.The most common ways
Machine Learning How to find local medical AI projects to get involved with The last several years have seen a huge surge in amount of funding going into, and research papers coming out of, groups working on artificial intelligence in healthcare. Many new research groups are
Perspectives and Reflections On the importance of technical and job-specific skills For true happiness in work or life, we need to feel that we are contributing towards a worthy goal; that our work matters. From this perspective, the challenges become part of the process,
Machine Learning Understanding Machine Learning in Medicine: An Introductory Webinar We live-streamed a one-hour webinar, covering some of the fundamental principles of machine learning and its application in healthcare. Here's a recording of it.It is aimed at all medical professionals (doctors, medical
Research Summaries Distinguishing cancerous from non-cancerous skin lesions (Research Paper Summary) Dermatologist-level classification of skin cancer with deep neural networks - Esteva et al., Nature, Jan 2017Original article: https://www.nature.com/articles/nature21056NOTE: This is one of the earliest, and most cited, articles
Research Summaries Key research papers in medical AI - read these first We will continue to update this post as new articles are published.Last updated: 14th October 2019This is an extremely active research field, with new papers published regularly. Here we mention some of
Research Summaries Recommending doses of IV fluids and vasopressor in sepsis (Research Paper Summary) The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care. - Komorowski et al., Nature Medicine, Nov 2018Original article: https://www.ncbi.nlm.nih.gov/pubmed/30349085 One-sentence summaryIn this
Research Summaries Automatically diagnosing retinal disease from eye scans (Research Paper Summary) Clinically applicable deep learning for diagnosis and referral in retinal disease - De Fauw et al., Nature Medicine, Aug 2018Original article: https://www.nature.com/articles/s41591-018-0107-6One-sentence summaryIn this paper, a research group
Machine Learning Why should doctors understand machine learning? We are seeing increasing use of, and discussion about, artificial intelligence (AI) and machine learning (ML) across all sectors; healthcare included. Greater volumes of data, improved computing power and break-throughs in machine learning
Machine Learning UK healthcare AI companies to be aware of Last updated: 11th October 2019It’s useful to be aware of companies working in the healthcare AI space, whether it’s to understand the current state-of-affairs, to look for internships, future places to
Machine Learning Resources for building the foundational understanding of machine learning To understand machine learning in medicine, it goes without saying that you need to understand machine learning. For those from a healthcare background, this will be the most challenging part.So… where to
Machine Learning Why machine learning? Why medicine? Why the hype? What is machine learning and artificial intelligence?Machine learning (or ‘ML’) is a key area of artificial intelligence (AI). AI can be defined broadly as when a computer performs a task usually requiring
Machine Learning Great resources to understand and keep up-to-date with medical artificial intelligence Thankfully, in our internet era, a huge amount of valuable educational content is freely available. Many top researchers actively disseminate their insights through blogs, mailing lists and tweets, while many of the up-and-coming
Perspectives and Reflections The benefits of expressing ideas in multiple forms (E.g. Word vs PowerPoint) I read an article a few months ago about how Jeff Bezos banned PowerPoints from meetings at Amazon. Instead, people write a “narratively…
Medicine The benefits of reflection and role models in learning medicine An interview with Dr Paquita De ZuluetaDr Paquita De Zulueta is a GP from London who has volunteered for Doctors of the World, lectured at Imperial College London and completed a Masters in
Is Medicine Right For Me? “Is medicine right for me?” is a question that a lot of medics ask at some point during their career.Perhaps you’re fed up of endless exams, not enthusiastic about working nights
Medicine Learning from Others in Medicine During your medical degree, as you cycle through different rotations, you will meet some inspirational doctors. They may teach you things that stick with you for life. There are many things you can
Productivity Memorisation Techniques by James HartleyDespite one’s best efforts to learn everything for understanding, there can be times where you are presented with a list of names (the branches of the external carotid artery, for