Machine Learning

Elucid Presents Data Demonstrating Its AI Software Can Uniquely Quantify Key Drivers of Heart Attack and Stroke from Computed Tomography


Excerpt from the Press Release: BOSTON–(BUSINESS WIRE)–Elucid, a medical technology company developing AI software for physicians to optimize the treatment of patients with known or suspected vascular disease, announced today that its founder Andrew Buckler will present findings from two separate studies at the virtual Society of Cardiovascular Computed Tomography (SCCT) 16th Annual Scientific Meeting.…

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Shattering cancer with quantum machine learning: A preview


Excerpt from the Article by Joe Geraci, Founder of Netramark. Machine learning has become a standard tool for medical researchers attempting to model disease in various ways, including building models to predict response to medications, classifying disease subtypes, and discovering new therapies. In this preview, we review a paper that utilizes quantum computation in order…

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Leap Therapeutics and Flagship Biosciences Develop Image Analysis RNAscope Assay for Prospective Trial Enrollment


Excerpt from the Press Release: CAMBRIDGE, Mass. and WESTMINSTER, Colo., May 12, 2021 /PRNewswire/ — Leap Therapeutics (Nasdaq: LPTX), a biotechnology company focused on developing targeted and immuno-oncology therapeutics, andFlagship Biosciences, the leader in data-centric pathology and tissue analysis, today announced that they have developed an image analysis RNAscope® assay that is being used successfully for prospective patient enrollment in a clinical trial.…

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Chest X-ray Plus Artificial Intelligence Can Predict Worst Outcomes for COVID-19-Positive Patients


Excerpt from the Press Release: Computer program can accurately predict 80 percent of cases where COVID-19 patients will develop life-threatening conditions within four days. Chest X-rays aren’t just for diagnosing COVID-19. Newly published research now shows that these images can be part of a system that accurately predicts which patients will develop life-threatening conditions within…

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RSIP Vision Launches an Advanced AI-Based Tool for Prostate MRI and Ultrasound Registration Enabling Precise Navigation in Key Procedures


Excerpt from the Press Release: TEL AVIV, Israel & SAN JOSE, Calif.–(BUSINESS WIRE)–RSIP Vision, an experienced leader in driving innovation for medical imaging through advanced AI and computer vision solutions, announced today a new prostate MRI-to-ultrasound registration tool. The tool’s fully automated, deep learning-based capabilities provide a robust method that utilizes a registered MRI scan…

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AI System Detects Frequently Overlooked Fractures on X-ray


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


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


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


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


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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