Current interviews -- MEDICA - World Forum for Medicine

Image: mouse and cells depiction; Copyright: Science China Press

Minimal-invasive hydrogen therapy for cancer treatment

10.02.2020

Up to now, cancer is still one of the major diseases that threaten the survival of mankind, and it is difficult to cure clinically. In addition to single or combined surgery, chemotherapy and radiotherapy, which are commonly used clinically, a number of promising therapeutic strategies have been recently put forward.
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Image: Aerial view of the unfinished hospital in the savannah; Copyright: Dagmar Braun

Much-needed medical technology: a hospital for Togo

10.02.2020

If life has given you many blessings, you should share them with others – and you also need to be a little crazy. That's Dagmar Braun's point of view. She initiated the construction of a hospital in Togo, Africa. The country currently lacks the system required to deliver comprehensive medical care. Surgical equipment and gynecology devices are much-needed to compensate for these deficits.
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Image: Colored image of a tissue sample; Copyright: Brian Pogue, PhD

First images of oxygen in tumors during radiation therapy

06.02.2020

Using specialty cameras and an oxygen probe drug injection, researchers at Dartmouth's Norris Cotton Cancer Center can now image oxygen from within cancer tumors during radiation while the probe is excited by Cherenkov light, a byproduct of radiation.
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Image: woman shows a man colorful radiation images projected on the wall; Copyright: UTSW

AI can jump-start radiation therapy for cancer patients

28.01.2020

AI can help cancer patients start their radiation therapy sooner by instantly translating complex clinical data into an optimal plan of attack. Patients typically must wait several days to a week to begin therapy while doctors manually develop treatment plans. But new research shows how enhanced deep-learning models streamlined this process down to a fraction of a second.
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Image: Woman does breathing exercise under supervision of a doctor; Copyright: panthermedia.net/imagepointfr

Improving radiotherapy treatment with prolonged breath-holding

20.01.2020

A technique that enables patients suffering from heart conditions to hold their breath safely for over 5 minutes could have potential as part of a new treatment for cardiac arrhythmias, say researchers at the University of Birmingham.
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Image: Preview picture of video

AI in the hospital – Possibilities and limits

17.01.2020

A hospital generates several thousands of gigabytes of data each day. The growing flood of data is no longer manageable for doctors. The great hope: artificial intelligence. Radiology is the main beneficiary. Dr. Felix Nensa from Essen University Hospital and Dr. Peter Langkafel from the Digital Health Factory tell us more about the possibilities and limits of learning machines.
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Image: Female physician shows a man an image of his brain with a tumor marked; Copyright: panthermedia.net/imagepointfr

Imaging: peeking into the genome of brain tumors

17.01.2020

Researchers at Osaka University have developed a computer method that uses magnetic resonance imaging (MRI) and machine learning to rapidly forecast genetic mutations in glioma tumors, which occur in the brain or spine. The work may help glioma patients to receive more suitable treatment faster, giving better outcomes. The research was recently published in Scientific Reports.
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Image: A radiation treatment room with a linear accelerator; Copyright: panthermedia.net/amoklv

Cancer: entire course of radiation treatment in less than a second

14.01.2020

Cancer patients may one day be able to get their entire course of radiation therapy in less than a second rather than coming in for treatment over the course of several weeks, and researchers in the Abramson Cancer Center of the University of Pennsylvania have taken the first steps toward making it a reality.
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Image: head of a woman, on which the brain is drawn; Copyright: CC0 Public Domain

New ultrasound technique improves brain performance

08.01.2020

In neurological diseases such as Alzheimer's disease, Parkinson's disease or Multiple Sclerosis, brain neurons are constantly being lost, resulting in memory lapses, speech disorders, mood swings and movement disorders, for example, as well as muscle tremors in the case of Parkinson's.
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Image: graphic showing that cancer cells will be destroyed while healthy cells are spared with targeted pulsed ultrasound; Copyright: David Mittelstein

Ultrasound selectively damages cancer cells when tuned to correct frequencies

08.01.2020

Doctors have used focused ultrasound to destroy tumors without invasive surgery for some time. However, the therapeutic ultrasound used in clinics today indiscriminately damages cancer and healthy cells alike.
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Image: PR-OCT imaging; Copyright: Zhu Lab

Machine learning: imaging boosts colon cancer diagnosis

09.12.2019

Colorectal cancer is the second most common type of cancer worldwide, with about 90% of cases occurring in people 50 or older. Arising from the inner surface, or muscosal layer, of the colon, cancerous cells can penetrate through the deeper layers of the colon and spread to other organs. Left untreated, the disease is fatal.
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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: 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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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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