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Internal Medicine

GPs to use artificial intelligence to help manage elective care waiting list


The Government has said that artificial intelligence (AI) in GP practices will help manage patients in the elective care backlog. It today announced that new technology and innovation will allow the NHS to treat 30% more elective care patients by 2023/24. It added that NHS'come forward with a delivery plan for tackling the backlog'. In March, NHS England suggested that GPs could be asked to review hospital waiting lists for elective care to help prioritise and manage patients from the following month. Details were limited, but NHS England later told GPs that they must'jointly manage' patients stuck in the backlog of care caused by the Covid pandemic with hospitals. Meanwhile, Pulse revealed in June that NHSX and NHS England were considering the viability of a wider roll out of an artificial intelligence triage model based on that used by Babylon.

Going deeper into Deep Learning


I'd love the thank my friends who gave me permission to use their handsome faces in the name of artificial intelligence science! We can definitely tell that this fine gentleman has brown eyes. On the other hand, the model is pretty certain that this individual has blue eyes with a probability greater than 90%. We have a correct prediction but a not very confident probability of 69% (and that's no coincidence). Finally, we try it on me… not so handsome and no so great prediction confidence.

The Third Revolution in Warfare

The Atlantic - Technology

On the 20th anniversary of 9/11, against the backdrop of the rushed U.S.-allied Afghanistan withdrawal, the grisly reality of armed combat and the challenge posed by asymmetric suicide terror attacks grow harder to ignore. But weapons technology has changed substantially over the past two decades. And thinking ahead to the not-so-distant future, we must ask: What if these assailants were able to remove human suicide bombers or attackers from the equation altogether? As someone who has studied and worked in artificial intelligence for the better part of four decades, I worry about such a technology threat, born from artificial intelligence and robotics. Autonomous weaponry is the third revolution in warfare, following gunpowder and nuclear arms.

Palindrome creates SA-first smart HIV patient and practitioner care solution


Palindrome Data, a data science implementer that specialises in alternative data and machine learning tools for community development, has created what it believes to be South Africa's first suite of digital and paper-based HIV tools backed by machine learning, designed to help frontline healthcare workers triage at-risk patients. The solution, leveraging machine learning and multiple data sources, is designed to be used in both digital and paper-based environments so that healthcare workers can identify and manage high-risk patients and relevant interventions to increase HIV treatment retention and mitigate the risk of loss to follow-up (LTFU). The solution can correctly predict a patient's viral load (suppressed versus unsuppressed) for three out of four patients; and can anticipate two out of three times when a patient will drop out of care. "The biggest obstacle facing HIV patients is dealing with an overburdened healthcare system that can't afford to take the time to deal with their unique challenges," says Lucien De Voux, director of market strategy at Palindrome Data. "There is a need to retain and engage patients in a relevant way.

Facebook Apologizes For Embarrassing Mistake Caused By A.I.


In this photo illustration Facebook logo can be seen, Kolkata, India, 28 February, 2020. Facebook ... [ ] Inc on Thursday announced its decision to cancel its annual developer conference due to Coronavirus outbreak according a news media report. Some crisis situations are caused by what people say or do. On occasion, a crisis--or an embarrassing incident--is caused by technology. The New York Times reported yesterday that, "Facebook users who recently watched a video from a British tabloid featuring Black men saw an automated prompt from the social network that asked if they would like to'keep seeing videos about Primates', causing the company to investigate and disable the artificial intelligence-powered feature that pushed the message. "This was clearly an unacceptable error and we disabled the entire topic recommendation feature as soon as we realized this was happening so we could investigate the cause and prevent this from happening again," Facebook spokeswoman Dani Lever said in a statement to USA Today. "As we have said, while we have made improvements to our AI, we know it's not perfect and we have more progress to make," she said. "We apologize to anyone who may have seen these offensive recommendations." This is not the first time that advanced technology has created an embarrassing situation for an organization. The Washington Post reported yesterday that "a judge ruled that Apple will have to continue fighting a lawsuit brought by users in federal court in California, alleging that the company's voice assistant Siri has improperly recorded private conversations." Last week at the Paralympics in Tokyo, Toyota self-driving pods injured a pedestrian. Reuters reported that, "In a YouTube video, Toyota Chief Executive Akio Toyoda apologized for the incident and said he offered to meet the person but was unable to do so.

ANA and JAL plan drone services to boost remote areas and own bottom lines

The Japan Times

Top aviation companies ANA Holdings Inc. and Japan Airlines Co. are planning to launch commercial drone services to deliver medical supplies and daily necessities to people living in remote areas. The two companies see the new services as playing a useful role in supporting local health care provision and disaster preparedness as well as expanding community infrastructure on remote islands and other far-flung areas. At the same time, the initiatives will help them promote management diversification and strengthen profitability as the coronavirus pandemic continues to take a toll on their overall business performances. ANA Holdings, the parent of All Nippon Airways Co., conducted a trial run jointly with a pharmaceutical company and other entities in March. Footage that it released shows a drone carrying a package of medical supplies from one island to another among Nagasaki Prefecture's Goto Islands at a speed of around 100 kph.

Designers as Stewards of AI


We have a lot to be grateful for. The average life expectancy in Liverpool during the industrial revolution was 28 years old. Nowadays, we have extraordinary advances in technology that have resulted in artificial hearts and mRNA Covid vaccines; the internet, self-driving cars, and personal computing. Within the next decade, the AI (artificial intelligence) revolution will propagate through everything, and it is predicted by some that it will be a more dramatic shift in technology than the use of the personal computer. However, AI has become an over-hyped buzzword across many industries, and the design world is no exception.

SimpliSafe unveils its first proper outdoor cam


For years, SimpliSafe's only option for outdoor video monitoring (other than the Video Doorbell Pro) was its indoor-only SimpliCam wrapped in a weatherproof rubber sleeve. Now, the company is finally offering a proper, battery-powered outdoor cam, complete with a weatherized shell, a spotlight, and people detection. Available now for $170, the SimpliSafe Wireless Outdoor Security Camera is a svelte, cylindrical camera with a swiveling magnetic base, Wi-Fi connectivity, Alexa and Google Assistant support, and a rechargeable, replaceable battery that promises to deliver between 3 and 6 months of battery life on a single charge. Equipped with two antennas, the new SimpliFi outdoor cam is capable of connecting to 2.4GHz Wi-Fi networks, but it won't work without a SimpliSafe base station. To get a base station, you'll need to purchase one of SimpliSafe's alarm systems, which start at $230 for a four-piece kit.

Deep Learning: Data and Hardware


In past few years, We have seen so much advancement in field of Machine learning as well as in Deep Learning. Deep Learning is a subfield of Machine Learning. Any Good Deep Learning Model majorly depends on two factors viz Data and Hardware. Francois Chollet, Creator of Keras explained the importance of Data in Deep Learning:- If deep learning is steam engine of AI revolution, then data is its coal. More training data we have, more accuracy model will have.