Weight loss, better sleep, and more can happen in one alcohol-free month. The month-long challenge began 2013 with 4,000 registrants. That number has swelled to 200,000. Breakthroughs, discoveries, and DIY tips sent every weekday. Holiday hangover season is upon us, and murmurs of Dry January are back.

Equitable access to reliable health information is vital for public health, but the quality of online health resources varies by language, raising concerns about inconsistencies in Large Language Models (LLMs) for healthcare. In this study, we examine the consistency of responses provided by LLMs to health-related questions across English, German, Turkish, and Chinese. We largely expand the HealthFC dataset by categorizing health-related questions by disease type and broadening its multilingual scope with Turkish and Chinese translations. We reveal significant inconsistencies in responses that could spread healthcare misinformation. Our main contributions are 1) a multilingual health-related inquiry dataset with meta-information on disease categories, and 2) a novel prompt-based evaluation workflow that enables sub-dimensional comparisons between two languages through parsing. Our findings highlight key challenges in deploying LLM-based tools in multilingual contexts and emphasize the need for improved cross-lingual alignment to ensure accurate and equitable healthcare information.

An integrated, comprehensive and exclusive B2B2E (business to business to enterprise) health benefits and wellness platform, ekincare works to solve health benefits problems making it a complete ecosystem with a unique model integrating healthcare, tech and insurance. Healthtech had a tipping point during the pandemic. Today, the sector has a massive opportunity towards making healthcare more inclusive and accessible. Corporates have made health and wellness initiatives their board-level priorities. The ultimate beneficiary is the end consumer and in the case of B2B (business to business), it is the employees and their dependents.

JUPITER, Fla., Jan. 6, 2022 /PRNewswire-PRWeb/ -- Scheduled to broadcast spring/2022, the award-winning series, Advancements with Ted Danson, will discover how innovations in AI are helping employees to access, understand, and utilize their health benefits. In this segment, Advancements will explore why so many Americans lack an understanding about their healthcare benefits -- from complex rules to complicated, verbose verbiage. Viewers will learn about the many ways these complexities can negatively impact employees' health and well-being, productivity in the workplace, and ultimately, the U.S. workforce as a whole. Audiences will hear from experts at Insurights, an AI-powered startup on a mission to improve human health by giving people better access to their health benefits. The show will discover how developments in AI and technology present a solution for the industry as the Insurights team introduces Zoe, its digital healthcare navigator.

A startup is employing machine learning to identify what it calls the "dark matter of nutrition." Why it matters: More than 99% of phytonutrients -- the natural chemicals produced by plants -- are unknown to science. If we can illuminate that dark matter, we can identify and cultivate compounds in foods for specific health value. How it works: The startup Brightseed uses a proprietary AI platform called Forager to predict the likelihood that plants will have useful natural compounds and the likelihood that those phytonutrients will have specific health benefits. Details: The Forager system can screen by specific chemical compound, or by health benefit, searching for ingredients that might affect cholesterol or cognitive function.

But, as we close in on 2020, serious forecasts for the year 2030 are starting to emerge, with two dropping only this week. The first, from the National Restaurant Association in America, is a report on the projected state of the US restaurant industry. The second, from global market research firm Mintel, is a look at predicted consumer trends across the globe. In our recent Food Trends 2020 whitepaper, we highlighted three key macro trends ripe for evolution, with plant-based developments, cuisines from the Asia-Pacific region and healthy eating/nutritional focus all expected to progress in the UK next year. In 2030, aside from the expected advances in AI, VR and other abbreviated futurisms, some of the most interesting predictions stem from the likes of wellbeing and veganism, with farming, delivery and the very definition of a'restaurant' all cropping up.

Aviva Canada with Amazon Echo helps consumers find answers to common insurance questions and get an insurance quote. If a person is curious about accident benefits, for example, all they have to do is ask, "Alexa, what is my accident benefits coverage?" Manulife with Amazon Echo advises customers on what is left on their health benefits. Need new glasses but not sure how much coverage you have? Simply ask, "Alexa, ask Manulife Benefits how much I do have left for glasses?"

The year 2018 has seen a good influx of innovative medical devices. Artificial intelligence (AI) serves as a critical component in most of these novel devices. FDA has defined artificial intelligence as: "A device or a product that can imitate intelligent behavior or mimics human learning and reasoning. Artificial Intelligence includes machine learning, neural networks, and natural language processing. Some terms used to describe artificial intelligence include: computer-aided detection/diagnosis, statistical learning, deep learning, or smart algorithms."

The year 2018 has seen a good influx of innovative medical devices. Artificial intelligence (AI) serves as a critical component in most of these novel devices. "A device or a product that can imitate intelligent behavior or mimics human learning and reasoning. Artificial Intelligence includes machine learning, neural networks, and natural language processing. Some terms used to describe artificial intelligence include: computer-aided detection/diagnosis, statistical learning, deep learning, or smart algorithms."

Hugs make us feel warm and safe and comforted and loved. If we need a hug and another human isn't available, we can sometimes get a little bit of satisfaction from hugging inanimate objects like stuffed animals, but it seems like robots (that can hypothetically hug us back) might be able to be somewhat more fulfilling. While we've seen robots that are actively huggable before, and even a few that can hug you back, it's not clear exactly how a robot hug compares to a human hug, and whether hugging a robot can confer any of the benefits that we get from hugging people. At the ACM/IEEE International Conference on Human Robot Interaction (HRI) earlier this year, Alexis E. Block and Katherine J. Kuchenbecker from the Haptic Intelligence Department at the Max Planck Institute for Intelligent Systems in Stuttgart, Germany, presented a paper on "Emotionally Supporting Humans Through Robot Hugs." Their work explores how robots can be more effectively designed and taught to give the kinds of hugs that humans will love.