Artificial intelligence could provide the'ultimate second opinion' as it is just as good as doctors at analysing X-rays, scientists have claimed. Tests using AI software on millions of old scans diagnosed conditions at least as accurately as radiologists 94 per cent of the time. The joint study by Warwick University and King's College London suggested it could prove vital in avoiding human error when checking patients' results. The AI software, which can scan X-rays as soon as they are taken, is able to understand the seriousness of each condition and flag the more urgent ones immediately. The study's authors suggested it could be used to screen X-rays, freeing up time for busy doctors to focus on more critical patients and helping deal with chronic NHS staffing shortages.
In their work VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis, Paula Feldman and colleagues present a data-driven generative framework for synthesizing blood vessel 3D geometry. We asked Paula about this work, their methodology, and why this is such an interesting area for study. A few years ago, various image synthesis methods gained a lot of popularity, leading to the use of synthesis models in several domains including the proliferation of deep fakes across the internet. More recently, DALL-E and stable diffusion techniques have also captured a massive audience. The potential applications of these synthesis techniques in medical imaging have not been overlooked. As a result, several algorithms have been developed to synthesize realistic-looking medical images for diverse medical purposes.
Welcome to our November 2023 monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, find out about recent events, and more. This month, we deconstruct sentiment analysis, find out about few-shot learning in medical imaging, investigate rare events, and look forward to our science communication training session at NeurIPS. In their paper The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis, Pranav Venkit, Mukund Srinath, Sanjana Gautam, Saranya Venkatraman, Vipul Gupta, Rebecca Passonneau and Shomir Wilson present a review of the sociotechnical aspects of sentiment analysis. In this interview, Pranav and Mukund tell us more about sentiment analysis, how they went about surveying the literature, and recommendations for researchers in the field. Deep learning models employed in medical imaging are limited by the lack of annotated images.
Kurt'CyberGuy' Knutsson explains what health care pods mean for the industry. Imagine walking into a futuristic pod and getting a full-body scan, a blood test and a personalized health plan in minutes. That's about to become a reality if a company called Forward has its way. It just launched its flagship product, CarePod, which it claims is the world's first AI doctor's office. CLICK TO GET KURT'S FREE CYBERGUY NEWSLETTER WITH SECURITY ALERTS, QUICK VIDEO TIPS, TECH REVIEWS, AND EASY HOW-TO'S TO MAKE YOU SMARTER What are AI self-service healthcare pods?
Is few-shot learning the gateway to integrating AI into medicine for good? Let's explore the current state of the art. Not too long ago, the concept of Artificial Intelligence (AI) resided primarily within the realm of academics and the fantastical landscapes of science fiction movies, often linked to the idea of humanoid robots. In recent years, the advancement in computing power and speed has catalyzed an unprecedented surge in AI development, making it part of our daily lives. With the advent of innovative technologies such as text-to-image models like Dall-E and chatbot-type models like ChatGPT, AI is now part of our everyday jargon.
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 gains an ever-widening role in the medical field, the Mayo Clinic has recently appointed a new executive to lead the health system's efforts in that area. Radiologist Bhavik Patel, M.D., has been named chief artificial intelligence officer (CAIO) for Mayo Clinic Arizona. Before joining the clinic in 2021, Patel practiced at Duke University Medical Center and Stanford University Medical Center. Dr. Richard Gray, CEO of Mayo Clinic Arizona, announced the hire on LinkedIn, noting the organization has only "begun to scratch the surface of AI's potential in medicine."
Just last week Microsoft announced that it had partnered with a digital pathology company, Paige, in order to build the world's largest image-based AI model for identifying cancer. The training data set for the algorithm contains 4 million images. "This is sort of a groundbreaking, land-on-the-moon kind of moment for cancer care," Paige CEO Andy Moye told CNBC. Last month, results from the first clinical trial of AI-supported breast cancer screening came out. The researchers compared two methods for reading a mammogram: a standard reading by two independent radiologists, and a system that used a single radiologist and an AI to assign patients a numerical cancer risk score from 1 to 10.
Thomas Fuchs, the Dean of Artificial Intelligence and Human Health at Mount Sinai in NYC, said AI will be needed to retain the standard of care in the U.S. Microsoft is partnering with the digital pathology company Paige to build the world's largest image-based artificial intelligence (AI) model to help detect cancer, the companies announced. The AI model will be used for digital pathology and oncology, configured with billions of parameters to provide a computer vision AI that is orders of magnitude larger than any similar model existing today. Dr. Thomas Fuchs, Paige's founder and chief scientist, told FOX News Digital that the amount of data used in the model is "orders of magnitude" larger than anything made public by Google or Facebook. "It's so much larger than anything that has been published in that area ever," he said. That scale is essential for patients.
Fox News medical contributor Dr. Marc Siegel calls for'transparency' and says President Biden is showing signs of cognitive slowing on'Fox Report.' Reality star Kim Kardashian recently praised the wellness trend of undertaking whole-body magnetic resonance imaging (MRI) screening -- saying these screenings save lives. Many medical experts, however, share a larger context from their point of view and even some caveats when it comes to the health care benefits overall. "I recently did this @prenuvo scan and had to tell you all about this life-saving machine," the 42-year-old media personality recently wrote on Instagram. "The Prenuvo full-body scan has the ability to detect cancer and diseases such as aneurysms in its earliest stages, before symptoms arise," Kardashian also wrote.
On Monday, iCAD, a global manufacturer of medical devices, announced an amendment to its original agreement with Google Health which will enable iCAD to incorporate Google's AI technology into its ProFound Breast Health Suite for 2D Mammography for a period of 20 years, pending regulatory approval. ProFound AI for 2D Mammography is a cancer detection solution that leverages AI to analyze a mammography image and alert radiologists of suspicious areas. The solution helps optimize the double-reading workflow that is utilized by most countries, in which a mammogram has to be screened by two individual radiologists. Google initially signed a strategic development and commercialization agreement with iCAD in November 2022, and today's amendment is further expanding that integration. "Combining Google's artificial intelligence (AI) technology with our leading-edge ProFound Breast Health Suite of AI solutions will enhance our technology and expand access to the technology to millions of women and providers worldwide," said Dana Brown, President and CEO of iCAD.