Artificial intelligence (AI) has the potential to detect rheumatic heart disease (RHD) with the same accuracy as a cardiologist, according to new research demonstrating how sophisticated deep learning technology can be applied to this disease of inequity. The work could prevent hundreds of thousands of unnecessary deaths around the world annually.
The research team led by Chang-hyun Kim, head of the Department of AI Machinery of the Korea Institute of Machinery and Materials(KIMM) has succeeded in developing an AI technology for robot work that can be easily applied to manufacturing processes.
AI language models are booming. The current frontrunner is ChatGPT, which can do everything from taking a bar exam, to creating an HR policy, to writing a movie script.
Researchers have developed a platform that combines automated experiments with AI to predict how chemicals will react with one another, which could accelerate the design process for new drugs.
Using artificial intelligence to scan surgery patients’ medical records for signs of risky drinking might help spot those whose alcohol use raises their risk of problems during and after an operation, a new study suggests.
In an article just published in Physica A, researchers from Bar-Ilan University in Israel show how shallow learning mechanisms can compete with deep learning.
A new, potentially revolutionary artificial intelligence framework called “Blackout Diffusion” generates images from a completely empty picture, meaning that the machine-learning algorithm, unlike other generative diffusion models, does not require initiating a “random seed” to get started.
A Johns Hopkins Children’s Center study of children and youth with diabetes concludes that so-called autonomous artificial intelligence (AI) diabetic eye exams significantly increase completion rates of screenings designed to prevent potentially blinding diabetes eye diseases (DED).
Columbia engineers have built a new AI that shatters a long-held belief in forensics–that fingerprints from different fingers of the same person are unique. It turns out they are similar, only we’ve been comparing fingerprints the wrong way!
In an AI-based exploration of 160 billion organic molecules, Argonne National Laboratory scientists identified about 40 liquid hydrogen carriers that could one day fuel cars, trucks, buses, trains and ships and generate energy for consumers.
RUDN University professor and colleagues from Italy, Canada, and Turkey built a deep neural network that predicts the strength of composite materials after processing with almost 100% accuracy.
RUDN University mathematicians compared two popular machine learning models for predicting network traffic. The authors named in which situations the models perform better. This is important for optimizing 5G and 6G networks, which must adapt to changes in traffic and user demands.
A team University of Washington researchers have published a guide explaining language models, the technology that underlies chatbots.
The convergence of artificial intelligence, cloud, and high-performance computing to accelerate scientific discovery is the focus of a multi-year collaboration between Microsoft and PNNL.
Join Dr. Joseph D. Romano, an expert in informatics, as he discusses how artificial intelligence can translate environmental health data into actionable insights for healthcare.
In an effort to make the internet more accessible for people with disabilities, researchers at The Ohio State University have begun developing an artificial intelligence agent that could complete complex tasks on any website using simple language commands.
Thanks to funding from the National Cancer Institute, Kimberly Kaphingst, director of cancer communication research, and her team are exploring a new way to teach people about genetic testing options.
An artificial intelligence-based program efficiently and accurately identified patients’ risky alcohol use by analyzing their health records, according to a study published in Alcohol: Clinical and Experimental Research.
يشير بحث جديد من مايو كلينك أن الذكاء الاصطناعي (AI) يمكن أن يحسن تشخيص اعْتِلاَل عَضَلَة القَلْب في الفَتْرَةِ المُحيطَةِ بالوِلاَدَة، وهي حالة يمكن أن تهدد الحياة ويمكن علاجها حيث تضعف عضلة القلب لدى النساء أثناء الحمل أو في الأشهر التي تلي الولادة.
Uma nova pesquisa da Mayo Clinic sugere que a inteligência artificial (IA) pode melhorar o diagnóstico de cardiomiopatia periparto, uma doença potencialmente fatal e tratável que enfraquece o músculo cardíaco das mulheres durante a gravidez ou nos meses após o parto.
Una nueva investigación de Mayo Clinic sugiere que la inteligencia artificial (IA) podría mejorar el diagnóstico de la miocardiopatía del periparto, una afección tratable y potencialmente mortal que debilita el músculo cardíaco durante el embarazo o en los meses posteriores al parto.
Assessing how seriously injured a person is, involves weighing up lots of different parameters fast.
The Association for Diagnostics & Laboratory Medicine’s (formerly AACC’s) Clinical Chemistry journal released a special issue today titled “Cancer: Biology and Diagnostics,” which presents a wide range of discoveries with the potential to improve cancer diagnosis and treatment.
Biosensing engineer Azahar Ali, assistant professor of animal sciences and biological systems engineering at Virginia Tech, is bracing for the arrival of a fourth agricultural revolution.
New York, NY [January 4, 2023]—In a milestone study, researchers from the Icahn School of Medicine at Mount Sinai have harnessed the power of artificial intelligence (AI) to enhance the assessment of the heart’s right ventricle, which sends blood to the lungs.
A new method is introduced for the management of risks of complex investment products in the investment banking area.
While musculoskeletal imaging volumes are increasing, there is a relative shortage of subspecialized musculoskeletal radiologists to interpret the studies. Is AI the solution?
Diagnosing cancer today involves using chemical “contrast agents” to improve the accuracy of medical imaging processes such as X-rays as well as computed tomography (CT) and magnetic resonance imaging (MRI) scans.
This paper provides an overview of how Artificial General Intelligence (AGI) can transform radiation oncology to elevate the standard of patient care, with the key insight being AGI's ability to exploit multimodal clinical data at scale.
Driven by the need for a better way to prioritize targets for drug development, the Icahn School of Medicine at Mount Sinai has led the development of a novel “genetic priority score” (GPS) that will integrate various types of human genetic data into a single easy-to-interpret score. The findings were described in the January 3 online issue of Nature Genetics [DOI: 10.1038/s41588-023-01609-2]. Studies have shown that drugs have an increased likelihood of success in clinical trials when the genes they target have been demonstrated to have genetic support. The new tool integrates multiple lines of genetic evidence to prioritize these drug targets.
Researchers developed an artificial intelligence tool to quickly analyze gene activities in medical images and provide single-cell insight into diseases in tissues and tissue microenvironments.
The American Association of Neuromuscular & Electrodiagnostic Medicine (AANEM), is excited to share that the Abstract Submission Application opens January 1, 2024, for the upcoming AANEM Annual Meeting.
يتوصل الباحثون في مايو كلينك إلى اكتشافات جديدة، ويطوِّرون أدوات وتقنيات هي الأولى من نوعها، ويحسِّنون باستمرار الأدوات والتقنيات الحالية بهدف تقديم الأفضل في مجال الرعاية الصحية. تُمثَل القصص العشرة التالية ملخصًا لبعض أهم التطورات البحثية الطبية في مايو كلينك خلال العام الماضي. تتراوح الاكتشافات من تسخير الذكاء الاصطناعي (AI) لاكتشاف المرض مبكرًا إلى تطوير علاجات للأمراض النادرة والمعقدة.
Os pesquisadores da Mayo Clinic fazem novas descobertas, desenvolvem ferramentas e tecnologias inéditas, e constantemente aprimoram tudo o que já existe com o objetivo de oferecer o que há de melhor em termos de cuidados de saúde.
Los investigadores de Mayo Clinic hacen nuevos descubrimientos, desarrollan tecnologías y herramientas únicas en su clase y mejoran constantemente aquellas existentes para brindar el mejor servicio de atención médica.
A research team led by Dr. Kim, Hyungmin of the Bionics Research Center at the Korea Institute of Science and Technology (KIST) has developed a real-time acoustic simulation technology based on generative AI to predict and correct the distortion of the ultrasound focus position caused by the skull in real-time during focused ultrasound therapy.
A roundup of the latest medical discoveries and faculty news at Cedars-Sinai for December 2023.
Vizient Southern States, a membership alliance for not-for-profit health care providers, awarded Jason Hill, MD, MMM, clinical innovation officer, Ochsner Health, the 2023 Brilliance Award as a result of being selected to present at the 2023 Connections Summit.
Researchers at the UCLA Health Jonsson Comprehensive Cancer Center have received a five-year, $3 million grant from the National Cancer Institute to identify novel cancer biomarkers and develop AI that can detect and predict aggressive prostate cancer to help avoid unnecessary treatments and their associated negative side effects.
Wars, strikes, Barbie, politics and planets dominated the news in 2023, and Michigan State University faculty experts were on hand to add research-based science and scholarship to many of the top statewide, national and global stories of the year.
A research team from the Cancer Science Institute of Singapore (CSI Singapore) at the National University of Singapore (NUS) has successfully harnessed artificial intelligence (AI) and deep-learning techniques to model atomic-level RNA 3D structures from primary RNA sequences.
With the rise in machine learning applications and artificial intelligence, it's no wonder that more and more scientists and researchers are turning to supercomputers. Supercomputers are commonly used for making predictions with advanced modeling and simulations. This can be applied to climate research, weather forecasting, genomic sequencing, space exploration, aviation engineering and more.
How interactions between tumor genes, microenvironment affect multiple myeloma treatment responses, a new AI technique could guide glioblastoma treatment, new research shows birth country a key risk factor in stomach cancer, how petrochemicals fuel cancer risk and more are included in this month’s tip sheet.
Argonne National Laboratory’s Theta supercomputer will be retired at the end of 2023, ending a productive run of enabling scientific breakthroughs in areas ranging from materials discovery to supernova simulations.
Large language models (LLMs) radically speed up text production in a variety of use cases. When they are fed with samples of our individual writing style, they are even able to produce texts that sound as though we ourselves wrote them. In other words, they act as AI ghostwriters creating texts on our behalf.
A study is published in the journal of Nuclear Science and Techniques, researchers from Sun Yat-sen University, have achieved a significant breakthrough in understanding the decay processes of superheavy nuclei.
The U.S. Food and Drug Administration has oversight of software powered by AI and machine learning used in healthcare and has issued guidance for developers, including a call to make the logic used by AI models to be transparent or explainable so that clinicians can review the underlying reasoning.
The study of superheavy nuclei is at the forefront of nuclear physics, probing the boundaries of the nuclear landscape and the quest for new elements.
Artificial intelligence developed to model written language can be utilized to predict events in people's lives.
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