Artificial intelligence is making its way into esthetics with a new application in eyelash extensions. A Bay Area-based company called Luum has released an AI-powered eyelash extension machine, currently available at only a few select California locations. Nathan Harding, CEO and co-founder of Luum, who is based in Oakland, California, told Fox News Digital in an interview that the company is using robotics and AI to "completely transform the experience of eyelash extensions." "For the client, it's going to be super fast, super comfortable and super consistent," he said. "And the provider will be able to do three times the appointments they could do otherwise."

Fox News correspondent Grady Trimble has the latest on fears the technology will spiral out of control on'Special Report.' Now everyone can be the coolest kid in school. Using artificial intelligence, people are turning themselves into nostalgic high school personas in a new and already-viral "AI yearbook" trend. Social media users have tried out AI-powered platforms such as the EPIK AI photo editor, which allows people to turn a modern photo of themselves into what looks like a yearbook portrait from any era (the 1990s has been the most popular). TikTok influencers such as Olivia Dunne and Joe Mele have also used these apps to transform themselves into classic high-school tropes like the jock, the nerd, the rebel, the popular kid and other stereotypes.

Gert-Jan Oskam, paralyzed for 12 years, is able to walk again thanks to the brain-spine "digital bridge" interface developed at France's Atomic Energy Commission (CEA). For the first time ever, a human has successfully received an implanted device to enable movement of the arms, hands and fingers after a paralyzing spinal cord injury. Onward Medical NV, a medical technology company based in the Netherlands, announced on Wednesday the surgical implant of its ARC-IM Stimulator, which is designed to restore function to the upper extremities of paralyzed patients. The patient, a 46-year-old man, suffered a spinal cord injury nearly two years ago, which left his left side almost fully paralyzed, doctors told Fox News Digital. The ARC-IM implantation took place on Aug. 14 at Centre Hospitalier Universitaire Vaudois (CHUV) in Lausanne, Switzerland.

OpenAI's ChatGPT has become a popular go-to for quick responses to questions of all types -- but a new study in JAMA Oncology suggests that the artificial intelligence chatbot might have some serious shortcomings when it comes to doling out medical advice for cancer treatment. Researchers from Mass General Brigham, Sloan Kettering and Boston Children's Hospital put ChatGPT to the test by compiling 104 different prompts and asking the chatbot for recommendations on cancer treatments. Next, they had a team of four board-certified oncologists review and score the responses using five criteria. Although language learning models (LLMs) have successfully passed the U.S. Medical Licensing Examination, the chatbot underperformed when it came to providing accurate cancer treatment recommendations that align with National Comprehensive Cancer Network (NCCN) guidelines. In many cases, the responses were unclear or mixed inaccurate and accurate information.

Fox News contributor Dr. Marc Siegel weighs in on how artificial intelligence can change the patient-doctor relationship on'America's Newsroom.' As artificial intelligence continues to move into the health care arena -- showing up everywhere from ultrasound screenings to drug development to doctors' offices -- some patients may be uncertain, curious or concerned about how it will impact them or their medical care. Dr. Harvey Castro, an emergency medicine physician in Coppell, Texas, is also a consultant and speaker on AI and ChatGPT in health care. Castro shared with Fox News Digital some of the most common questions patients are asking about the use of AI in the medical field -- and provided his responses. WHAT IS ARTIFICIAL INTELLIGENCE (AI)?

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Automated object recognition in medical images can facilitate medical diagnosis and treatment. In this paper, we automatically segmented supraclavicular nerves in ultrasound images to assist in injecting peripheral nerve blocks. Nerve blocks are generally used for pain treatment after surgery, where ultrasound guidance is used to inject local anesthetics next to target nerves. This treatment blocks the transmission of pain signals to the brain, which can help improve the rate of recovery from surgery and significantly decrease the requirement for postoperative opioids. However, Ultrasound Guided Regional Anesthesia (UGRA) requires anesthesiologists to visually recognize the actual nerve position in the ultrasound images. This is a complex task given the myriad visual presentations of nerves in ultrasound images, and their visual similarity to many neighboring tissues. In this study, we used an automated nerve detection system for the UGRA Nerve Block treatment. The system can recognize the position of the nerve in ultrasound images using Deep Learning techniques. We developed a model to capture features of nerves by training two deep neural networks with skip connections: two extended U-Net architectures with and without dilated convolutions. This solution could potentially lead to an improved blockade of targeted nerves in regional anesthesia.

With version 2.1, IBM Machine Learning for z/OS is rebranded to IBM Watson Machine Learning for z/OS. It offers a hybrid cloud approach to model development and model deployment lifecycle management and collaboration that is designed to help organizations innovate and transform on an enterprise scale. It helps data scientists more quickly develop, deploy, and monitor behavioral models that continually learn as new data is introduced. IBM Db2 AI for z/OS, V1.2, a separately licensed product, uses machine learning to improve the operational performance of Db2 for z/OS systems. Watson Machine Learning for z/OS, V2.1 is a key component for operationalizing machine learning models on z/OS. It provides the ability to deploy models on z/OS that were developed and trained in the cloud, on IBM Z or on non IBM Z platforms. This provides greater deployment flexibility through a new architecture where model management, administration, and scoring services install and execute on z/OS. The new version includes capabilities that were previously separately available through IBM Open Data Analytics for z/OS to help simplify the acquisition, installation, and configuration of the product. Watson Machine Learning for z/OS provides an environment that fosters collaboration to enable innovation and transformation on an enterprise scale.

Driverless AI, the automated machine learning platform from H2O.ai, is now available for ordering through IBM . For a more comprehensive description of Driverless AI, see the H2O.ai website. IBM and H2O.ai collaborate to enable you to order Driverless AI directly from IBM. H2O Driverless AI is a high-performance, GPU-enabled software application for the rapid development and deployment of advanced predictive analytics models. It lowers the barrier to entry for machine learning by automating a large portion of the process of algorithm selection and model building and tuning. Driverless AI uses machine learning interpretability to create easy-to-follow visualization and explanations of models, which are especially useful in regulated industries.

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