A score derived from machine learning that included information from stress cardiac magnetic resonance effectively predicted 10-year all-cause …

AI can now accurately predict death, but is that a prediction we want to hear? In almost every industry, artificial intelligence (AI) is on the fast track to outpacing human endeavor. Machine learning technologies are already better than the average person at gaming, creating content and even building AI, and it appears they are only going from strength to strength. As a result of their developing intelligence, the most common question AI critics have been asking is whether it's ethical to be putting ourselves out of a job. YouTube video essayist CGP Grey put it best when he said that, by investing in AI development, we are steaming ahead towards a market in which "humans need not apply" without adequately preparing the population for that scenario.

Washington DC: A study claimed that machine learning, modern bedrock of artificial intelligence, could predict death or heart attack with more than 90 per cent accuracy. The study was presented at The International Conference on Nuclear Cardiology and Cardiac CT (ICNC) 2019. Machine learning is used every day. Google's search engine, face recognition on smartphones, self-driving cars, Netflix and Spotify recommendation systems -- all use machine learning algorithms to adapt to the individual user. By repeatedly analysing 85 variables in 950 patients with known six-year outcomes, an algorithm'learned' how imaging data interacts.

Earlier this month the University of Nottingham published a study in PloSOne about a new artificial intelligence model that uses machine learning to predict the risk of premature death, using banked health data (on age and lifestyle factors) from Brits aged 40 to 69. This study comes months after a joint study between UC San Francisco, Stanford, and Google, which reported results of machine-learning-based data mining of electronic health records to assess the likelihood that a patient would die in hospital. One goal of both studies was to assess how this information might help clinicians decide which patients might most benefit from intervention. Amitha Kalaichandran, M.H.S., M.D., is a resident physician based in Ottawa, Canada. Follow her on Twitter at @DrAmithaMD.

TEMPO.CO, Jakarta - Google has reportedly developed an artificial intelligence (AI) that is able to predict a person's death with an accuracy level of 95 percent, as stated in a journal published by Nature Research and Futurism.com. The records include clinical trial results, readmission, the use of hospital facilities, and patient diagnostics. The Google team reportedly used a medical brain algorithm to construct the AI. The same algorithm is said to be similar to the one used to predict the death of a breast cancer patient, which was considered to be extremely accurate. The main goal of this AI is to be able to utilize it in numerous clinical scenarios to calculate which patient would need the highest priority.

DeepMind wants to solve the problem of patient deterioration in hospitals. The Google sister-company fed its AI the historical medical records of about 700,000 US veterans in hopes it will learn to predict changes in patient condition that, unchecked, lead to death. The partnership between DeepMind and the Veterans Administration (VA) brings some of the top minds in artificial intelligence research together with "world-renowned clinicians and researchers" working for the government. Basically, the US government is turning to, arguably, the smartest computer on the planet in order to find a cure for human-error. According to the laws of 1980s movies the robots will be attacking by the time you finish reading this sentence.

Humans today live a lot longer than they used to. That's great news, but as modern medical advances are giving patients second chances at living normal lives, end-of-life care continues to be a difficult thing to plan. Forecasting when someone will die is an extremely challenging and often uncomfortable thing, but Stanford researchers have trained an AI to be able to predict death with incredible accuracy, and it could revolutionize end-of-life care for patients who are reaching their ends. The goal is to better match patient (and family) wishes with an accurate timeline of an individuals final months, weeks, and days, while affording them the opportunity to plan ahead for the inevitable. The work is titled Improving Palliative Care with Deep Learning, and it's currently available online.