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Would YOU let a robot check your breasts for lumps? Ultra-sensitive robotic 'finger' could be used to diagnose cancer earlier
An ultra-sensitive robotic'finger' that could help detect breast cancer is being developed by scientists. Experts have created a device with a sophisticated sense of touch that can take patient pulses and check for abnormal lumps. The technology could make it easier for doctors to detect diseases such as breast cancer early on, when they are more treatable. And it may also help patients feel at ease during physical examinations that can seem uncomfortable and invasive, the researchers said. While rigid robotic fingers already exist, experts have raised concerns that these devices might not be up to the delicate tasks required in a doctor's office setting.
Revolutionary Alzheimer's Treatments Can't Help Patients Who Go Undiagnosed
"The statistics are frightening: Dementia is the biggest killer in the UK. It has been the leading cause of death for women since 2011," says Hilary Evans, CEO of Alzheimer's Research UK and cochair of the UK Dementia Mission. "One in two of us will be affected by dementia either by caring for someone with the condition or developing it ourselves." There are reasons for optimism, however, with Alzheimer's researchers achieving extraordinary breakthroughs in the treatment of the disease. In May 2023, drugmaker Lilly announced that its new Alzheimer's drug, donanemab, slowed cognitive decline by 35 percent; in 2022, another drug, lecanemab, registered similarly promising results.
AI-powered mental health diagnostic tool could be the first of its kind to predict, treat depression
Fox News correspondent Grady Trimble has the latest on fears the technology will spiral out of control on'Special Report.' As the world of artificial intelligence blooms, some players in the health care industry are looking to make a major difference in public health. HMNC Brain Health -- a Munich, Germany-based health tech company -- is one of those. It's attempting to use novel AI-powered technologies to address mental health issues. The company has developed what's described as a "precision psychiatry" diagnostic tool that uses artificial intelligence to predict, diagnose and even treat depression.
Novel 'Fuzzy' AI Algorithms to Help Patients with Memory Loss
Like our brains, a new computer program created by Parham Aarabi of the University of Toronto can store and retrieve information strategically. An experimental tool that uses the novel algorithm to aid those with memory loss has also been developed by the associate professor in the Faculty of Applied Science & Engineering's Edward S. Rogers Sr. department of electrical and computer engineering. In the minds of most people, AI is more robotic than humans, according to Aarabi, whose approach is examined in a paper presented at the IEEE Engineering in Medicine and Biology Society Conference in Glasgow. Aarabi believes it should change. Computers have traditionally needed explicit instructions from their users on what data to save.
First-of-its-kind humanoid robot deployed in nursing home to help patients with Alzheimer's
Humanoid robots have been deployed in a Minnesota nursing home to care for patients with early-stage Alzheimer's. These robots, developed by a team of researchers at the University of Minnesota, are equipped to assist individuals with their emotional, physical and cognitive health - are believed to be the first in the US to focus on caring for patients with dementia. 'I am extremely excited to be making history with my students by deploying humanoid robots in nursing homes to help care for our elderly,' said Arshia Khan, a professor of computer science at the University of Minnesota at Duluth's Swenson College of Science and Engineering. The humanoid robots are meant to provide a wide range of support and help patients who are experiencing early stage Alzheimer's. One robot is a two-foot-tall model called NAO, and the other one stands four feet and is known as Pepper - but Khan emphasizes that the machine's will supplement human workers rather than replace them.
How AI and machine learning can help patients with brain tumours
Dr Pallavi Tiwari and her team at the Brain Image Computing Laboratory are using AI models to help move away from a one-size-fits-all approach to treating brain tumours. As technology continues to advance, its use within the healthcare sector is becoming more and more prominent. From remote healthcare to 3D printing, there are so many applications of technology that can pave the way for personalised medicine and better healthcare. One such application is the use of AI and machine learning in the treatment of brain tumours, something I spoke to Dr Pallavi Tiwari about. Tiwari is an assistant professor of biomedical engineering and the director of the Brain Image Computing Laboratory at Case Western Reserve University in Ohio.
Enabling AI-driven health advances without sacrificing patient privacy
AI has already been used to improve disease treatment and detection, discover promising new drugs, identify links between genes and diseases, and more. By analyzing large datasets and finding patterns, virtually any new algorithm has the potential to help patients--AI researchers just need access to the right data to train and test those algorithms. Hospitals, understandably, are hesitant to share sensitive patient information with research teams. When they do share data, it's difficult to verify that researchers are only using the data they need and deleting it after they're done. Secure AI Labs (SAIL) is addressing those problems with a technology that lets AI algorithms run on encrypted datasets that never leave the data owner's system.
Enabling AI-driven health advances without sacrificing patient privacy
AI has already been used to improve disease treatment and detection, discover promising new drugs, identify links between genes and diseases, and more. By analyzing large datasets and finding patterns, virtually any new algorithm has the potential to help patients -- AI researchers just need access to the right data to train and test those algorithms. Hospitals, understandably, are hesitant to share sensitive patient information with research teams. When they do share data, it's difficult to verify that researchers are only using the data they need and deleting it after they're done. Secure AI Labs (SAIL) is addressing those problems with a technology that lets AI algorithms run on encrypted datasets that never leave the data owner's system.
Chatbots are Aiming to Shape Up the Future
Over the last few years, chatbots have seen tremendous growth. After the global pandemic, chatbots have become more popular. They are used by companies all over the globe for business communication and automation. Chatbots are being used by many brands all over the globe to engage and build their customer base. AI chatbots are helping businesses to market their products and offer round-the-clock support to their customers.