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AI-Powered Chatbots for Healthcare: Overview The ultimate aim should be to use technology like AI chatbots to enhance patient care and outcomes, not to replace the irreplaceable human elements of healthcare. Machine learning, a key component of AI used in healthcare, has significantly reshaped healthcare by enhancing medical diagnosis and treatment. By processing vast amounts of clinical data, algorithms can identify patterns and predict medical outcomes with unprecedented accuracy. You can foun additiona information about ai customer service and artificial intelligence and NLP. This technology aids in analyzing patient records, medical imaging, and discovering new therapies, thus helping healthcare professionals improve treatments and reduce costs. This doctor-patient relationship, built on trust, rapport, and understanding, is not something that can be automated or substituted with AI chatbots. Additionally, while chatbots can provide general health information and manage routine tasks, their current capabilities do not extend to answering complex medical queries. These queries often require deep medical knowledge, critical thinking, and years of clinical experience that chatbots do not possess at this point in time [7]. Thus, the intricate medical questions and the nuanced patient interactions underscore the indispensable role of medical professionals in healthcare. This form of AI in healthcare is quickly becoming a must-have in the modern healthcare industry and is likely to become even more sophisticated and be used in a wider range of applications. Greenlight Guru, a medical technology company, uses AI in its search engine to detect and assess security risks in network devices. The company specializes in developing medical software, and its search engine leverages machine learning to aggregate and process industry data. Meanwhile, its... read more
In the hopes of reducing work-related back injuries, pharm a Japanese company has developed a wearable back harness that’s capable of taking 30 kilograms (66 pounds) off of a heavy load. Engineered by Innophys, a venture company from the Tokyo University of Science, the Muscle Suit is designed for workers in fields like elderly care, agriculture and industry, where heavy lifting is a daily and repetitive necessity. The suit, which was shown off at Tokyo’s International Robot Exhibition earlier this month, is of particular significance to the country’s older citizens. Given that a considerable percentage of Japan’s population is elderly, with almost 26 percent of the total population being 65-years-old or above and 13 percent being 75 or above, there is a growing demand for able-bodied healthcare workers who can regularly perform physically demanding duties. Lifting and physically assisting the elderly out of bed and in and out of bathtubs or wheelchairs, for instance, is done more frequently than many developed countries. The Muscle Suit doesn’t literally carry objects, but rather offers support in the form of hydraulically controlled artificial muscles, which are housed in an aluminium backpack that links to waist joints. The pack provides two axis of movement, one for bending at the waist, and another for supporting the thighs. Innophys isn’t the only Japanese company to develop exo-suits, with Cyberdyne having been doing so for years with its HAL series of robotic suits that, among other things, help enable mobility for the physically impaired. The standard model is capable of lifting a maximum of 30 kilograms, with a total pack weight of 5.5 kilograms (12 pounds),... read more
Porsche on Friday revealed plans to produce its first 100 percent electrically powered sports car under its Mission E project by the end of the decade. The Mission E concept car debuted at the Frankfurt International Motor Show earlier this year. The four-door vehicle utilizes a system power output that exceeds 440 kW and can accelerate from 0 to 100 kph in about 3.5 seconds, ed Porsche said. The concept vehicle, buy which is charged via an 800-volt charger unit, has a range of 500 kilometers. Via a quick-charge system, its lithium-ion batteries can be bought to 80 percent power in about 15 minutes. The final production models will be capable of recharging wirelessly via induction with a coil-based system that could be installed under its parking spot in a garage. Green Light Mission E, which was given the green light by the company’s supervisory board, could create more than 1,000 new jobs at the company’s offices and development facilities in Stuttgart-Zuffenhausen, according to Porsche. The company also will invest around US$762 million at its main site and in the coming years will build an assembly plant and paint shop, while the existing engine factory will be expanded to handle the production of electric motors. “With Mission E, we are making a clear statement about the future of the brand,” said Wolfgang Porsche, chairman of Porsche’s supervisory board. “Even in a greatly changing motoring world, Porsche will maintain its front-row position with this fascinating sports car.” Sports Market Porsche’s entry into the electric vehicle market might not be a major disrupter to the mainstream driver end of the market,... read more
Hollywood often teaches people to fear robots, healing but a study from the Massachusetts Institute of Technology reveals that, in the case of manufacturing, humans prefer to place middle management in the cool hands of robots. According to the research, when robots control human tasks in manufacturing, workers are not only more efficient, but also happier. This study was aimed at finding “a sweet spot” between all-robot and all-human control wherein the humans would be most comfortable, according to a video posted by MIT project lead Matthew Gombolay. “In manufacturing, advanced robotic technology has opened up the possibility of integrating highly autonomous mobile robots into human teams,” Mr. Gombolay says in the video. “We discovered that the answer is to actually give machines more autonomy, if it helps people to work together more fluently with robot teammates.” The study was composed of groups of two humans and one robot, working in three test conditions. One group had all tasks allocated by a human, another had all tasks allocated by the robot, and the final scenario had one human allocating his or her own tasks while the robot allocated tasks to the other human. Researchers found that when the robot was on top, not only was the group most effective, but the human workers also preferred it, saying that the robot’s choices apparently “better understood them.” Seeing a study verify the high comfort level some humans have with robot autonomy, people may want to review how robot overseers have been portrayed in the movies and on television. Discussion of MIT’s findings become much more lively when “The Terminator,” “I, Robot,”... read more
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