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Artificial Intelligence

Image: A new advanced ultrasound imaging technique is being combined with artificial intelligence to improve the detection of prostate cancer (Photo courtesy of Exact Imaging).

AI Applied to Micro-Ultrasound Could Speed Cancer Detection

Cambridge Consultants and Exact Imaging are working together to improve the way prostate cancer is visualized and detected by applying deep learning to high-resolution micro-ultrasound imaging. This can help identify potential suspicious regions of tissue and inform urologists who may want to consider this additional data in their biopsy protocol. The early results of their work have been promising. More...
24 Sep 2018
Image: The Explainable Artificial Intelligence (XAI) program can help with decision-making in various medical fields (Photo courtesy of Raytheon BBN Technologies).

AI Program Could Aid Decision-Making in Medical Imaging

Researchers are developing a first of its kind neural network that explains itself and could help with decision-making in the medical field, among others. Raytheon BBN Technologies is developing the neural network under the Defense Research Project Agency's (DARPA) Explainable Artificial Intelligence program (XAI). The aim of the XAI program is to create a suite of machine learning techniques, which produce more explainable models while maintaining a high level of performance. It also aims to help human users understand, appropriately trust and effectively manage the emerging generation of artificially intelligent partners. More...
24 Sep 2018
Image: A three-dimensional culture of human breast cancer cells, with DNA stained blue and a protein in the cell surface membrane stained green (Photo courtesy of Tom Misteli, Ph.D., and Karen Meaburn, Ph.D / NIH IRP).

Tetris-Like Program Could Speed Up Breast Cancer Detection

A fully automated medical image analysis program to detect breast tumors that uses a unique style to focus on the affected area is being developed by researchers from the University of Adelaide’s Australian Institute for Machine Learning. Using artificial intelligence (AI), the autonomous program in conjunction with an MRI scan employs the traversal movement and style of a retro video game to examine the breast area. More...
24 Sep 2018

Researchers Develop AI Algorithm to Predict Immunotherapy Response

A team of French researchers have designed an algorithm and developed it to analyze Computed Tomography (CT) scan images, establishing for the first time that artificial intelligence (AI) can process medical images to extract biological and clinical information. The researchers have created a so-called radiomic signature, which defines the level of lymphocyte infiltration of a tumor and provides a predictive score for the efficacy of immunotherapy in the patient. More...
12 Sep 2018
Image: Researchers are working to develop the application of AI in medical imaging diagnostics (Photo courtesy of Digital Health).

Fujifilm and IU School of Medicine to Study AI in Diagnostic Imaging

Fujifilm Corporation has entered into a joint research agreement with Indiana University School of Medicine to develop the application of artificial intelligence (AI) in medical imaging diagnostic support systems. More...
12 Sep 2018
Image: A new study claims computer-aided diagnosis can help identify cancerous polyps (Photo courtesy of Yuichi Mori/ SUHY).

AI Reliably Identifies Diminutive Polyps During Colonoscopy

Real-time computer-aided diagnosis (CAD) may help endoscopists distinguish between small neoplastic and benign polyps during colonoscopy, claims a new study. More...
10 Sep 2018
Image: Assistant Professor Ulas Bagci leads the group of engineers at the University of Central Florida that have taught a computer how to detect tiny specks of lung cancer in CT scans, which radiologists often have a difficult time identifying. The artificial intelligence system is about 95 percent accurate, compared to 65 percent when done by human eyes, the team said (Photo courtesy of the University of Central Florida, Karen Norum).

AI System Accurately Detects Lung Cancer in CT Scans

Engineers from the University of Central Florida's Computer Vision Research Center have developed an artificial intelligence (AI) system which can detect tiny specks of lung cancer in CT scans. Radiologists find it difficult to identify such tiny tumors and have an accuracy of 65%, while the AI system has an accuracy of about 95%, according to the engineers. More...
05 Sep 2018
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 The Artificial Intelligence channel of HospiMedica keeps the reader informed about the latest news in AI-based clinical decision making, Medical knowledge engineering, Intelligent medical information systems and additional related fields.

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