The NHS has rolled out a new artificial intelligence (AI) tool which can detect heart disease in just 20 seconds while patients are in an MRI scanner. A British Heart Foundation (BHF) funded study published in the Journal of Cardiovascular Magnetic Resonance concluded the machine analysis had superior precision to three clinicians. It would usually take a doctor 13 minutes or more to manually analyse images after an MRI scan has been performed. The technology is being used on more than 140 patients a week at University College London (UCL) Hospital, Barts Heart Centre at St Bartholomew's Hospital, and Royal Free Hospital. Later this year it will be introduced to a further 40 locations across the UK and globally.

A new artificial intelligence (AI) tool being used in the NHS can detect heart disease at record speed, experts say. The computer tool, which mimics human ability but with greater precision and at a faster speed, can analyse heart MRI scans in just 20 seconds while the patient is in the scanner. This is much quicker than the 13 minutes or more it would take for a doctor to manually examine the images after an MRI scan, according to the British Heart Foundation (BHF), which has funded research into the tool. The technique also detects changes to the heart structure and function with 40% higher accuracy and extracts more information than a human can, the BHF said. A new study concluded the technique was more precise at analysing MRIs than the work of three specialist doctors.

Artificial intelligence (AI) is being used to help provide life-saving operations for heart patients in what is said to be a Scottish first.

Berlin, 02.09.2019 – The telemedical co-management of patients with chronic heart failure has proven its worth. But so far, a single telemedicine center has not been able to care for more than 500 patients. The project Telemed5000 of the Charité – Universitätsmedizin Berlin aims to develop an intelligent system for the telemedical co-management of several thousand cardiological risk patients. This is to be achieved with the help of innovative technical possibilities. The Federal Ministry of Economics and Energy is funding the project for three years with around 4.5 million euros – of which the Charité as consortium leader will receive 2.1 million euros.

For the first time researchers that we part-fund have used Artificial Intelligence to predict outcomes for heart patients using MRI scans, enabling doctors to find the best treatments for individual patients. The computer program, called 4Dsurvival, takes each patient's scan and tracks the motion of the heart at hundreds of points every second. From these 3D pictures of the moving heart the machine learns to predict the risk of dying from heart failure. So far, the team at Imperial College London and the Medical Research Council have used the technology to predict the prognosis for 302 people with a heart condition called pulmonary hypertension (PH) a rare but serious condition, which damages the arteries in the lungs, and can be fatal. The technology outperformed doctors, being able to correctly predict a patient's prognosis 75% of the time. It is hoped that the new technology will help doctors to spot patients likely to deteriorate quickly enabling them to act immediately to halt the disease's progression.

Artificial Intelligence will be central to solving humanity's grand challenges Imagine a world void of antibiotic-resistant superbugs, where those once-invincible critters were no longer given a chance to grow because infection patterns in patients were identified and treated before any symptoms appeared. Or what if safety-critical industries like healthcare or transportation were virtually zero risk, thanks to automated decision making and effective pattern recognition by robotic systems? What if cancer found its cure, crime was accurately intercepted, and democracy was given the tools to empower each and every citizen? And what if this was just a fraction of what AI will offer humanity down the line? The promise of AI is the promise of transformative technology which has unfathomable potential to dramatically improve the lives of millions, if not billions, of humans on planet earth.

Following years of research, AI is starting to have an impact on the way science is done, as these five Imperial studies from 2017 show. Barely a week has gone by in 2017 without warnings in the media about how Artificial intelligence (AI) and robotics is threatening to make all human workers redundant. The reality is likely to be more subtle and in fact involve closer collaboration between computers and humans. But even in complex areas like scientific research, AI is having an impact on the way we approach certain problems and questions. AI techniques, such as machine learning, represent a complete step-change in ability. By combing heavy lifting computational power with more subtle human-like reasoning we can start to address scientific problems that were previously thought to be intractable - to computers or human scientists separately.

Recently, a clinical study led by Finnish researchers was launched in Tampere to use the latest analytical methods to recognize those myocardial infarction patients at high risk of complications. The project makes comprehensive use of data generated during treatment, but which is usually fragmented into separate systems, and complements it by continuing to monitor how the patient's heart is functioning after he or she has been discharged from hospital. The mass of data thus gathered is analysed using A.I. and machine-learning methods, which have been taught with the help of former patient-treatment data and developed to be applied to myocardial infarction patients. What the study means for the patients in practice is that a small ECG recorder is attached to their chest when they are leaving the hospital. It can also be linked to the Internet for monitoring purposes for as long as the measurements require.

Apple Watch might be more than a fancy accessory for your wrist. The device could be of great help to heart patients, according to a'Health e-heart' study conducted by University of California, San Francisco, which finds that the device is 97 percent accurate in diagnosing irregular heartbeat. "Our results show that common wearable trackers like smartwatches present a novel opportunity to monitor, capture and prompt medical therapy for atrial fibrillation without any active effort from patients. While mobile technology screening won't replace more conventional monitoring methods, it has the potential to successfully screen those at an increased risk and lower the number of undiagnosed cases of AF," the report's senior author, Gregory M. Marcus, MD, MAS Endowed Professor of Atrial Fibrillation Research and Director of Clinical Research for the Division of Cardiology at UCSF, said in the findings published Wednesday. The research trained a deep neural network (DNN) and paired it with the Apple Watch and Cardiogram app.

Companies are already using artificial intelligence to play board games and recommend content, and now researchers want to use AI for something a bit more personal: predicting how long heart patients have to live. In a paper recently published in the journal Radiology, researchers at the MRC London Institute of Medical Sciences used machine learning to predict the mortality rates of patients suffering from pulmonary hypertension, a rare and serious lung disorder that restricts the amount of oxygen going to the heart. If left untreated, roughly one-third of patients suffering from PH die within five years. Because the disorder is worsens over time, it is important for doctors to accurately estimate a patient's life expectancy to determine how aggressively they should treat the condition. Using machine learning, the researchers trained an AI using over eight years of patient health data.