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"A company owned by Google has been given access to the healthcare data of up to 1.6 million patients from three hospitals run by a major London NHS trust. DeepMind, the tech giant's London-based company most famous for its innovative use of artificial intelligence, is being provided with the patient information as part of an agreement with the Royal Free NHS trust, which runs the Barnet, Chase Farm and Royal Free hospitals. It includes information about people who are HIV-positive as well as details of drug overdoses, abortions and patient data from the past five years, according to a report by the New Scientist."

"A widely used algorithm that predicts which patients will benefit from extra medical care dramatically underestimates the health needs of the sickest black patients, amplifying long-standing racial disparities in medicine, researchers have found."

"The battle over algorithms in healthcare has come into full view since last fall. The debate only intensified in the wake of the coronavirus pandemic, which has disproportionately devastated Black and Latino communities. In October, Science published a study that found one hospital unintentionally directed more white patients than Black patients to a high-risk care management program because it used an algorithm to predict the patients' future healthcare costs as a key indicator of personal health. Optum, the company that sells the software product, told Mashable that the hospital used the tool incorrectly. "

"Two prominent hospitals were the victims of data breaching hackers in the last few days with each hospital having over 40,000 patients' personal information at risk. On Monday, Phetchabun Hospital had the personal data of 46,000 of their patients compromised while Bhumirajanagarindra Kidney Institute Hospital had the data from 40,000 patients stolen in parallel attacks."

"The government's scheme to store patients' medical information in a single database, which ran into massive problems over confidentiality, is to be scrapped, NHS England has said. The decision to axe the scheme, care.data, follows the publication of two reports that support far greater transparency over what happens to the information, and opt-outs for patients who want their data seen only by those directly caring for them."

"Participants used an app on their phones to record 30-second intervals of themselves reading a piece of text, describing a positive experience, then describing a negative experience. Doctors also took recordings from a control group of 25 patients who were either healthy or getting non-heart-related tests. The doctors found 13 different voice characteristics associated with coronary artery disease. Most notably, the biggest differences between heart patients and non-heart patients' voices occurred when they talked about a negative experience."

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"This month, in an open-access study published in PLOS One, a team reported the first brain implant system that lets patients use their thoughts to navigate an off-the-shelf Android tablet. Compared to previous generations, this system doesn't require training-for example, learning to type on a different, non-QWERTY keyboard-or specialized interface equipment. With just her thoughts, T6 was able to send emails, chat with other paralyzed patients in the trial, Google random questions, and even shop on Amazon. For the first time since she became paralyzed, T6 regained access to the entire commercially-available Google Play ecosystem and the digital world."

"Kahun still relies on its own vast repository of medical knowledge - over 30 million insights from trusted sources - but ChatGPT will now allow patients to describe their symptoms in their own words. Until now it's been a structured conversation, with the AI asking a question, the patient responding, and the AI working its way through a series of more detailed questions based on the answers it gets. Integrating ChatGPT puts the patient in control. They describe their symptoms exactly as they would to a doctor, and ChatGPT responds, just as their doctor would."

"Robots, artificial intelligence and smart speakers will ease the burden on doctors and give them more time with patients, according to an NHS report on the pending technological "revolution" in healthcare. Developments in the ability to sequence individuals' genomes - the entirety of their genetic data - will also spur on advances, according to the review published on Monday."

"Drug and insurance companies will from later this year be able to buy information on patients - including mental health conditions and diseases such as cancer, as well as smoking and drinking habits - once a single English database of medical data has been created."

"The hackers who stole 4.5 million patient records from an American hospital network might have exploited the infamous Heartbleed bug to carry out the hack - the first time the bug has been reported to be at the center of a high-profile breach."

"GPT-3 medical chatbot tells suicidal test patient to kill themselves"

"These findings suggest that medical experts and policymakers probably do not need to warn patients away from the internet when it comes to seeking health information and self-diagnosis or triage. It seems that using the internet may well help patients figure out what is wrong."

"In 2015, a research group fed an AI system called Deep Patient health and medical data from some 700,000 people, and tested whether it could predict diseases. It could, but Deep Patient provides no explanation for the basis of a diagnosis, and the researchers have no idea how it comes to its conclusions. A doctor either can either trust or ignore the computer, but that trust will remain blind."

"A startup in Israel is tackling the problem, and saving lives, with a sophisticated algorithm that can analyze the almost infinite number of possible conflicts. Ask any doctor or pharmacist and they'll tell you about the minefield called "drug interaction". That's when a medicine designed to resolve one problem causes an adverse reaction with another medicine designed to resolve another problem. Or with anything else the patient puts in their body."

"Imagine having a digital twin that gets ill, and can be experimented on to identify the best possible treatment, without you having to go near a pill or a surgeon's knife. Scientists believe that within five to 10 years, "in silico" trials - in which hundreds of virtual organs are used to assess the safety and efficacy of drugs - could become routine, while patient-specific organ models could be used to personalise treatment and avoid medical complications. Digital twins are computational models of physical objects or processes, updated using data from their real-world counterparts. Within medicine, this means combining vast amounts of data about the workings of genes, proteins, cells and whole-body systems with patients' personal data to create virtual models of their organs - and eventually, potentially their entire body"

"Some are disturbed by the strategy to go "digital by default". Andrew Miller, chair of the Commons science and technology committee, wrote to Cabinet Office minister Francis Maude with concerns that "as public services go online, the government may not keep up with advances in technology and that inadequacies in government software may lead to security vulnerabilities"."

"As smart as they are, doctors can't compete with the volume of knowledge that a robot can retain. In an effort to join the best of both worlds - human experience with robotic data - a number of companies are developing telemedicine robots that not only allow doctors to reach out to patients miles or continents away, but can offer immediate information and advice that draws from volumes of medical research and case studies. In January the FDA approved the telepresence platform RP-Vita, developed by iRobot and InTouch Health. Now seven hospitals across North America have enlisted the services of RP-Vita, bringing us one step closer to robotics-augmented healthcare."