AI in imaging: how machines manage our Big Data -- MEDICA - World Forum for Medicine

Image: Narasimhan Rajaram at a computer in the laboratory; Copyright: University Relations / University of Arkansas

Imaging: supporting cancer treatment monitoring

06.09.2019

A grant from the National Institutes of Health will support a biomedical engineering professor's pursuit of technologies that can identify treatment-resistant tumors early in the treatment process.
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Image: DLIR image of the aorta; Copyright: GE Healthcare

Deep Learning Image Reconstruction – what AI looks like in clinical routine

02.09.2019

Artificial intelligence is no longer a dream of the future in medicine. Many studies and initial application examples show that it sometimes achieves better results than human physicians. At Jena University Hospital, the work with AI is already lived practice. It is the first institution in the world to use algorithms in radiological routine to reconstruct CT images.
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Image: graphic that describes the workflow of Radiomics Analysis for IHC Indicators; Copyright: American Journal of Roentgenology (AJR)

AI: radiomics model to predict thyroid nodules

02.09.2019

Machine learning models can be trained to extract immunohistochemical (IHC) characteristics from the CT scans of patients with suspected thyroid nodules, and these IHC characteristics can then be utilized to significantly improve thyroid nodule diagnoses.
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Image: Robot looks at huge amount of CT images of the brain; Copyright: panthermedia.net/phonlamai

AI in imaging: how machines manage our Big Data

02.09.2019

In modern medicine, especially in the field of imaging, huge amounts of data are produced – so much that radiologists can hardly keep up with diagnosing the images. Artificial Intelligence could be the solution to this problem. But how exactly can it help in this task? How can man and machine work together? And what else will be possible in the future with the support of intelligent systems?
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Image: Robot points with his finger at CT images of the brain, in the background a CT device; Copyright: panthermedia.net/phonlamai

Man vs. machine – the benefits of AI in imaging

02.09.2019

Radiology is a field that produces large volumes of data, which can no longer be managed without the help of intelligent systems. This is especially true when it comes to the interpretation of medical images. While this takes physicians years of training and experience, several hours of work and the highest level of concentration, AI only requires a few seconds to accomplish the same task.
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Image: Displacement comparison at the end-systolic frame and final frame; Copyright: WMG University of Warwick

Imaging: new MRI technique spots scar heart muscles

30.08.2019

Traditional MRI scans use the metal gadolinium, which resonates areas of the heart muscles that are not functioning efficiently, however gadolinium affect the Kidney function. The new 3D MRI computing technique calculates strain in heart muscles showing which muscles are not functioning enough without damaging other organs - researchers at WMG, University of Warwick have found.
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Image: MRI; Copyright: panthermedia.net/Arne Trautmann

Imaging: reducing size and weight of MRI equipment

24.07.2019

The Superconductivity Research Center of the Korea Electrotechnology Research Institute (KERI, President Gyu-ha Choe) under the Ministry of Science and ICT has developed a superconducting insulation technology that can significantly reduce the size and weight of medical magnetic resonance imaging (MRI) equipment.
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Image: man in front of a written chart; Copyright: University of Houston

Imaging: combination of super microscope and supercomputer to target new treatments

12.07.2019

Badri Roysam, chair of the University of Houston Department of Electrical and Computer Engineering, is leading a $3.19 million project to create new technology that could provide an unprecedented look at the injured brain.
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Image: someone points on MRI images of a knee with a pen; Copyright: panthermedia.net/Bernhard Lelle

Imaging: arthroscopy is more effective than MRI for chondral defects of the knee

12.07.2019

Using arthroscopy to stage a lesion in the chondral area of the knee is more accurate than magnetic resonance imaging, according to researchers from the Rothman Institute, La Jolla, Calif. The findings were presented today at the American Orthopedic Society of Sports Medicine Annual Meeting.
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Image: patient with a knee injury; Copyright: panthermedia.net/Csaba Deli

Imaging: MRI scanner diagnoses knee injuries accurately

04.07.2019

The team say the device – which uses so-called "magic angle" effect - could potentially help diagnose knee injuries more quickly, and more accurately. In a proof-of-concept study using animal knees, the results suggest the technology could be used to show all the structures of the knee.
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Functional Imaging: The puls of modern oncology

17.06.2019

Medical imaging techniques have developed considerably in recent decades. In addition to morphological imaging techniques more and more functional imaging techniques are used in oncology that can continously record the functions of specific organs locally and regionally in real time. These are groundbreaking for diagnostics, therapies and preoperative preparations.
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Image: Woman undergoing a CT scan; Copyright: panthermedia.net/Tyler Olsonv

Machine learning: superior results for low-dose CT

12.06.2019

Machine learning has the potential to vastly advance medical imaging, particularly computerized tomography (CT) scanning, by reducing radiation exposure and improving image quality. Those new research findings were just published in Nature Machine Intelligence by engineers at Rensselaer Polytechnic Institute and radiologists at Massachusetts General Hospital and Harvard Medical School.
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Image: patient with Parkinson`s playing with a puzzle; Copyright: panthermedia.net/AndrewLozovyi

Ultrasound: restoring dopaminergic pathway at Parkinson's

11.06.2019

While there are several thousand drugs available to treat brain diseases, they cannot penetrate the blood-brain barrier (BBB) into the brain. The BBB, which protects the brain from pathogens, also prevents most drugs from gaining access to the brain functional tissue, a well-known challenge to the treatment of all brain diseases including neurodegenerative disorders like Parkinson's disease.
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Bild: Mann liegt auf dem Boden, vor ihm der mobile Roboter mit Tablet; Copyright: Fraunhofer IPA

MobiKa – programmed to help

22.05.2019

Many illnesses or old age require help with everyday tasks. Unfortunately, family members or caregivers aren’t always available to lend a hand. The MobiKa mobile service robot is designed to offer support, deliver motivation and improve the quality of life of those in need.
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Image: Screenshot of the VR app: a small penguin sitting on the treatment table of the MRI device; Copyright: Entertainment Computing Group, Uni DUE & LAVAlabs Moving Images

Gamification: how penguins help children overcome their MRI fear

23.04.2019

It's noisy, tight and scary - that's how children feel about a magnetic resonance imaging (MRI) machine. Because they are scared, they are often too fidgety and anxious during the procedure, causing the images to blur or the scan to be stopped. Researchers have now developed a VR app called Pingunauten Trainer that’s designed to gently prepare the little patients for MRI scans.
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Image: Man on a treatment table under a radiation therapy device; Copyright: panthermedia.net/adriaticphoto

Cardiac arrhythmia: treatment in the linear accelerator

08.04.2019

Cardiac arrhythmia is a group of conditions where nerve cells trigger uncontrolled contractions of the heart muscle. They are treated with either medicine or catheter ablation of the tissue. In an interdisciplinary collaboration, cardiologists and radiotherapists took a different approach and used high-precision radiation therapy to treat a patient for whom the other options proved unfeasible.
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Image: graphical steps of lung segmentation; Copyright: Universitätsklinikum Carl Gustav Carus/A. Braune

Lung segmentation: easier and faster thanks to new algorithms

01.10.2018

A look inside the lungs is a time-consuming process. To identify the boundaries of the respiratory organ from surrounding other organs, tissues, and structures requires between 200 and 500 computed tomographic images and subsequent manual markings – an elaborate process that can take up to six hours. An optimized computer program is now able to do this in only a few seconds.
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Image: Radiology assistant presses a button at the front of a CT; Copyright: panthermedia.net/Arne Trautmann

Lung cancer: Screening with low-Dose CT scans

01.10.2018

Lung cancer is one of the most common and deadliest cancers. The symptoms tend to be non-specific, often causing its detection to be too late. Currently, there is no comprehensive screening. This could change with the use of low-dose CT scans. It should be noted that this is not just an issue of technical feasibility. A screening test must also make sense from a health policy perspective.
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Image: A man is working at a computer that shows a model of the human liver; Copyright: Fraunhofer MEVIS

AI in medicine: Machines do not learn like humans

01.08.2018

For years, medicine has been exploring AI techniques aimed at easing physician workload. While computers may not have the medical expertise and skills obtained through years of study, they can recognize patterns and specific features in datasets and draw deductions.
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Image: Young female radiologist is looking at pictures of the head and takes some notes; Copyright: panthermedia.net/mark@rocketclips.com

Radiology: machine learning to support medical diagnostics

08.03.2018

Automation makes work life easier in many ways but is it also a solution for analyzing medical images? Is a computer actually reliable enough to assist in the medical decision making process? Researchers in Landshut examine how machine learning algorithms can work more reliably and support radiologists.
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Image: A large medical device with a treatment couch and four movable boxes; Copyright: panthermedia.net/Thomas Hecker

Cancer: refined treatment with proton minibeams

10.07.2017

Radiation therapies are an essential component of today’s oncology because they enable the treatment of localized tumors. Yet they have one major drawback: radiation damages not just tumor cells but also healthy tissue. One solution to solve this problem could be proton minibeam therapy, which uses finely focused beams.
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Radiology – How an MRI machine makes its way into an office

13.04.2017

These days, medical imaging is one of the key diagnostic methods. But how do large medical devices actually get to their final destination? MEDICA-tradefair.com took its camera along to observe the remodeling of a radiology imaging office. The leading actors: a CT scanner and an MRI machine.
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Image: Children playing outside, getting wet in the water; Copyright: panthermedia.net/Wavebreakmedia ltd

Pneumonia in Children: Ultrasound or X-Rays?

08.03.2017

Pneumonia is the most frequent respiratory disease in children and can even cause death. That is why it is extremely important to make an accurate diagnosis as quickly as possible. If this requires imaging tests, normally X-rays are taken. But there is an alternative: ultrasound.
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