Machine Learning

AI System Detects Frequently Overlooked Fractures on X-ray

05/03/2021

Excerpt from the Article: Identifying these easily missed breaks can save patients from future negative complications or loss of function. A significant number of the most common type of wrist fracture go undetected on X-ray images, setting patients up for potential problems downstream. But, a new artificial intelligence (AI)-based automated system can improve detection rates.…

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Triage Brain MRIs with AI-Based System

04/25/2021

Excerpt from the Article: MRI has grown in popularity as a tool to image the brain for various diseases or damage, leading to a heavy volume of scans for radiologists to interpret. Using an artificial intelligence (AI)-based system could help automate those interpretations to quickly identify the patients who need the most emergent care. “MRI…

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Radiologists Spot Chest X-ray Abnormalities Better with Deep-Learning Detection

03/29/2021

Excerpt from the Article: Simultaneous use of a deep-learning based detection (DLD) system improves a radiologist’s accuracy in identifying major abnormalities on chest X-rays, a new study has found. While the efficacy of artificial intelligence (AI) algorithms as a second reader has been well established in previous studies, providers included in those investigations have read…

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AI-Fueled COVID-19 Detection Algorithm Slices Report Time 30 Percent

03/24/2021

Excerpt from the Article: A radiology workflow artificial intelligence (AI) solution from RADLogics can help providers truncate their turn-around time for COVID-19 detection cases by up to 30 percent, according to a recently released study. According to a clinical trial conducted at the Moscow Center for Diagnostics & Telemedicine, employing this AI solution to evaluate…

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Low-Dose CT Lung Screening Gets Boost from AI

01/27/2021

Excerpt from the Article: It is possible to increase the specificity of low-dose CT (LDCT) lung cancer screening programs without chipping away at sensitivity – all it takes is folding artificial intelligence (AI) in with Lung-RADS. That capability is based on the development of a lung nodule management system, created by investigators from the University…

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AI-supported test predicts eye disease three years before symptoms

12/21/2020

Excerpt from the Article: A pioneering new eye test, developed by scientists at UCL in collaboration with the Western Eye Hospital, London, may predict wet AMD, a leading cause of severe sight loss, three years before symptoms develop. Researchers hope their test could be used to identify the disease early enough so that treatment can…

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Persephone Biosciences Initiates the ARGONAUT Study of Gut Microbiome-Linked Immune Modulation in Cancer Treatment Response

12/06/2020

Excerpt from the Press Release: SAN DIEGO, Nov. 23, 2020 /PRNewswire/ — Persephone Biosciences Inc., a biotechnology company that leverages real world data and artificial intelligence to design microbiome therapeutics and diagnostics to promote normal immune function and fight disease, today announced the initiation of the ARGONAUT clinical study to determine the impact of gut microbiome…

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Mammography AI Tool Cleared This Year Improves Breast Cancer Detection

11/25/2020

Excerpt from the Article: Adding artificial intelligence (AI) to mammography interpretation can help radiologists catch more cancers, according to a new study using a tool awarded U.S. Food & Drug Administration 510(k) clearance earlier this year. Currently, the body of literature around the effectiveness of AI with mammography is small because the use of the…

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BioMarin and Deep Genomics to Collaborate on Advancing Programs Identified Using Artificial Intelligence

11/24/2020

Excerpt from the Press Release: SAN RAFAEL, Calif. and TORONTO, Nov. 17, 2020 /PRNewswire/ — BioMarin Pharmaceutical Inc. (Nasdaq: BMRN) and Deep Genomics today announced that the companies have entered into a preclinical collaboration that will use Deep Genomics’ artificial intelligence drug discovery platform (The AI Workbench) to identify oligonucleotide drug candidates in four rare disease indications…

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Innovative machine-learning approach for future diagnostic advances in Parkinson’s disease

11/14/2020

Excerpt from the Article: Parkinson’s disease (PD) is the second most common neurodegenerative disease, with patient numbers being expected to double worldwide in the next 20 years. The detailed molecular and cellular mechanisms underlying its pathogenesis remains unclear, although recent evidence has pointed towards the role of mitochondrial dysfunction in the onset of the disease.…

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