Despite the growing potential of older adult care technologies, the adoption of these technologies remains challenging. In this work, we conducted a focus-group session with family caregivers to scope designs of the older adult care technology. We then developed a high-fidelity prototype and conducted its qualitative study with professional caregivers and older adults to understand their perspectives on the system functionalities. This system monitors abnormal activity patterns of older adults using wireless motion sensors and machine learning models and supports interactive dialogue responses to explain abnormal activity patterns of older adults to caregivers and allow older adults proactively sharing their status with caregivers for an adequate intervention. Both older adults and professional caregivers appreciated that our system can provide a faster, personalized service while proactively controlling what information is to be shared through interactive dialogue responses. We further discuss other considerations to realize older adult technology in practice.

The healthcare industry has come a long way since its inception a few years back. Long gone are those days when each process in healthcare was running manually. Today, the situation is different. All thanks to the advancement in technology and the wave of digitization, healthcare is experiencing a paradigm shift in its processes like never before. It is a matter of immense pride that today we have the robots performing surgeries, taking care of elderly people, and most of all, helping doctors in more precise decision making.

Seoul – In a cramped office in eastern Seoul, Hwang Seungwon points a remote control toward a huge NASA-like overhead screen stretching across one of the walls. With each flick of the control, a colorful array of pie charts, graphs and maps reveals the search habits of thousands of South Korean senior citizens being monitored by voice-enabled "smart" speakers, an experimental remote care service the company says is increasingly needed during the coronavirus crisis. "We closely monitor for signs of danger, whether they are more frequently using search words that indicate rising states of loneliness or insecurity," said Hwang, director of a social enterprise established by SK Telecom to handle the service. Trigger words lead to a recommendation for a visit by local public health officials. As South Korea's government pushes to allow businesses to access vast amounts of personal information and to ease restrictions holding back telemedicine, tech firms could potentially find much bigger markets for their artificial intelligence and other emerging technologies.

Artificial Intelligence (AI) is playing an essential role in driving digital transformation, bringing changes across various industry. Given its rapid development, along with the unbelievable explosion of data, AI is expected to join the rank of the steam engine, the electricity generator, and the printing press to become another general-purpose technology to significantly impact human life. As Huawei believes, AI is one of the core technologies in the 21st century and will have a profound impact on the future of mankind. The set-up has long been ready for AI to take a giant leap, where AI computing will take up 80% of total workload in computing centres by 2025, compared to the current level of less than 10%. Thanks to tremendous advancement of connectivity, particularly with the arrival of 5G, AI can operate in scenarios requiring high bandwidth and low latency.

This article proposes a method for automated service selection to improve treatment efficacy and reduce re-hospitalization costs. A predictive model is developed using the National Home and Hospice Care Survey (NHHCS) dataset to quantify the effect of care services on the risk of re-hospitalization. By taking the patient's characteristics and other selected services into account, the model is able to indicate the overall effectiveness of a combination of services for a specific NHHCS patient. The developed model is incorporated in Monte-Carlo Tree Search (MCTS) to determine optimal combinations of services that minimize the risk of emergency re-hospitalization. MCTS serves as a risk minimization algorithm in this case, using the predictive model for guidance during the search. Using this method on the NHHCS dataset, a significant reduction in risk of re-hospitalization is observed compared to the original selections made by clinicians. An 11.89 percentage points risk reduction is achieved on average. Higher reductions of roughly 40 percentage points on average are observed for NHHCS patients in the highest risk categories. These results seem to indicate that there is enormous potential for improving service selection in the near future.

Advanced data processing, image recognition and natural speech systems are being applied by innovative start-ups across a diverse range of health and social care services, from cancer diagnostics to genomics and mental health. With support from Government and industry, UK-based start-ups can have access to a robust library of anonymised patient data which accelerates the development of effective solutions. So what start-ups are making waves in the health and social are sector using artificial intelligence and machine learning? CW has identified a number of UK-based companies developing solutions across a range of healthcare areas. Consider registering for one of our upcoming related events, "Increasing the speed and diversity of invention in AI" on 4 December or "AI & Robotics in Neurocritical Care & Neurosurgery" on 20 April.

NEW YORK CITY--Uber is looking to get into pharmacy medication delivery. Prescription eyeglass company Warby Parker is moving into virtual eye exams, and audio equipment maker Bose wants to help consumers get better sleep through hearing technology. Consumer-focused companies are rapidly moving further into healthcare, and industry incumbents need to be ready for accelerating change: That was one of the big takeaways from CB Insights' Future of Health conference in Manhattan this week. It's not just startups attacking entrenched interests in healthcare; it's large companies as well, said CB Insights CEO Anand Sanwal during the conference. "The field of play is changing pretty dramatically, and the competitive lines are constantly being redrawn," he said, noting Amazon's "unbundling" of the pharmacy, Apple's unbundling of the clinical trials process and Google's unbundling of the hospital.

Artificial Intelligence technologies are making a splash across many industry sectors. In this article, we take a brief look at the technologies of Artificial Intelligence in 2019. It is a part of the AI subcategory. This application helps in the conversion of data to text format. And the most important point, it can communicate ideas with accuracy. And this technology can generate market reports and analytical insights.

As soon as you're diagnosed as diabetic, ads for treatments show up on social feeds. You get alerts on health supplements, maybe nutrition tips. Prompts on insurance policies pop up on your phone. It's a manifestation of the trove of data harnessed by WeDoctor, one of China's most richly valued online health outfits, in an ambitious quest to upend the business of personal care. The ads may not be conspicuous – they can be buried within a pitch about chronic diseases – but the target is uncannily precise: you.

The conventional wisdom that the best care is delivered in-person by experienced caregivers may soon be overturned. Rising health care costs, a shortage of physicians, and an aging population are making the traditional model of care increasingly unsustainable. But new uses of virtual health and digital technologies may help the industry manage these challenges. A number of new technologies are helping to move elements of patient care from medical workers to machines and to patients themselves, allowing health care organizations to reduce costs by reducing labor intensity. Virtual health refers to the use of enabling technology -- such as video, mobile apps, text-based messaging, sensors, and social platforms -- to deliver health services in a way that is independent of time or location.