Background Reports 2021 -- MEDICA - World Forum for Medicine

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ktsimage

Sinonasal cancer: AI facilitates breakthrough in diagnostics

30/11/2022

Researchers at LMU and Charité hospital in Berlin have developed a method for classifying difficult-to-diagnose nasal cavity tumors.
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Nikita_Karchevskyi

Tumors: forecasting the risks of brain surgery

22/11/2022

Can surgeons quantify the risk of aphasia when removing a brain tumor? To find out, researchers at Klinikum rechts der Isar of the Technical University of Munich (TUM) are analyzing the brain as a network. In a current study with 60 patients, they already achieved an accuracy rate with three quarters of their predictions.
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Image: A woman sits on a hospital bed while a service robot comes through the door and offers drinks; Copyright: Jasper Block/Robotise

Jasper Block/Robotise

Researchers evaluate robot use in clinical routine

18/11/2022

What potential do robotic systems hold when it comes to relieving highly qualified nursing staff in hospitals of non-specialist service activities? This is currently being researched by the Professorship of Nursing Science at the Catholic University of Eichstätt-Ingolstadt (KU) and the LMU university hospital in Munich.
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Laboratory: how smart gadgets support everyday work

17/11/2022

At MEDICA 2022, you can see why smart assistants are needed in the laboratory and which gadgets have made it into everyday laboratory work, thus reducing the workload of the specialists there and increasing efficiency.
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Image: Doctor sits in an armchair at his desk, looks at the screen and examines the results of computed tomography; Copyright: Iakobchuk

Iakobchuk

MEDICA 2022: Simplifying analysis and visualization of medical image data

15/11/2022

A team of researchers from Kaiserslautern and Leipzig is working on a system that automatically analyses and visualises medical data, including their uncertainties.
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Image: A 3D scanner scans a white curved object; Copyright: Fraunhofer IPK / Larissa Klassen

Fraunhofer IPK / Larissa Klassen

MEDICA 2022: Digital hospital made easy

14/11/2022

Interoperability, integration, interaction – medical technology is dominated by digitalization. At MEDICA 2022, Fraunhofer IPK will be demonstrating how intelligent linking of devices and systems, including digital twins, will shape processes in the hospital of the future.
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University of the West of Scotland

Artificial intelligence could help ease hospital pressures

10/11/2022

Pioneering artificial intelligence (AI) which automatically diagnoses lung diseases – such as tuberculosis and pneumonia – could ease winter pressures on hospitals, University of the West of Scotland researchers believe.
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Image: Mobile laboratory unit with integrated lifting device for a standard truck chassis; Copyright: Fraunhofer IBMT/Markus Michel

Fraunhofer IBMT/Markus Michel

MEDICA 2022: Biological laboratory to go

10/11/2022

Researchers from the Fraunhofer Institute for Biomedical Engineering IBMT have developed the “BioSensoLab“, a mobile biological laboratory with which they can demonstrate new developments to customers and test them together – on site at their companies.
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Image: Software for medical back analysis runs on a screen while in the background a shirtless man walks on a treadmill; Copyright: SZB

SZB

MEDICA 2022: AI allows personalised diagnosis of back problems

08/11/2022

A team of researchers from TU Kaiserslautern (TUK), the University Medical Centre in Mainz and several companies is working on a method that will enable more efficient monitoring of malpositions and strains on the back.
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envato/boomeart

Doinglab: Nutrition management with AI

02/11/2022

Watching your diet based on various health issues can sometimes be tiring. To make the process easier and help patients to monitor their intake, the start-up Doinglab developed an artificial intelligence technology that can recognize and understand food. FoodLens provides detailed information about the food with just a picture.
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seventyfourimages

Digital technology linking care homes to clinical advice hubs reduces A&E attendances

27/10/2022

The use of digital technology in residential care homes can reduce the number of emergency department attendances by 10% each month, according to new research by Lancaster Medical School PhD student Alex Garner.
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Image: An elderly man uses his smartphone to talk on the phone in his home, Copyright: Rido81

Rido81

Speech as a new diagnostic tool in ALS and FTD

21/10/2022

The speech of patients with neurodegenerative diseases gradually changes. Thanks to the help of artificial intelligence, even the slightest changes can become the basis for a diagnosis.
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Image: Two female hands on blue background. On the left with a yellow tracking bracelet and on the right with a smartphone in hand, Copyright: Irina Shatilova

Irina Shatilova

MS: Model predicts health conditions during stay-at-home periods

12/10/2022

Research led by Carnegie Mellon University has developed a model that can accurately predict how stay-at-home orders like those put in place during the COVID-19 pandemic affect the mental health of people with chronic neurological disorders such as multiple sclerosis.
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RossHelen

Easy-to-use-tool predicts risk of complications from hysterectomy

11/10/2022

Researchers have developed easy-to-use online prediction tools that provide personalized risk estimates for patients undergoing hysterectomy for benign disease.
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halfpoint

Novel sensor system with AI-driven biomarkers for patients with heart failure

07/10/2022

UNISONO aims to develop a novel system combining an ear-worn sensor with speech recognition.
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Image: A diagram intended to show the process and validity of DryEyeRhythm; Copyright: Juntendo University

Juntendo University

DryEyeRhythm: A reliable, valid, and non-invasive app to assess dry eye disease

06/10/2022

The app – released in 2016 – can be used for the monitoring of dry eye disease and underscores the feasibility of human-centered medicine through apps.
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Asociación RUVID

A tool based on artificial intelligence can automatically detect pathologies in thorax X-rays

05/10/2022

A research team has developed a tool for the automatic detection of pathologies in thorax X-rays based on the experience and expertise of radiology staff that are validated from the automatic analysis of medical reports.
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leungchopan

Wearable sensors styled into t-shirts and face masks

29/09/2022

Imperial researchers have embedded new low-cost sensors that monitor breathing, heart rate, and ammonia into t-shirts and face masks.
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Image: Endoscopic examination during surgery; Copyright: Yakov_Oskanov

Yakov_Oskanov

Using AI during cancer-screening results in more recommended controls

28/09/2022

Patients with polyps have a higher risk of evolving cancer in the future. Using Artificial intelligence (AI) during colonoscopy can be useful to detect pre-cancerous polyps, Yuichi Mori, doctor and associate professor from the Clinical Effectiveness Research group at the University of Oslo says.
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photocreo

Mathematical models help predict the evolution of neurodegenerative diseases

23/09/2022

In their latest study, the researchers involved have demonstrated that "integrating and processing all the data together, using multilayer networks, provides a more comprehensive analysis of the data than if they are analysed individually and independently".
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Image: A wearable assistive robot that can detect and prevent a fall before it happens, exhibited in a hall; Copyright: Nanyang Technological University

Nanyang Technological University

Assistive robot to prevent falls and assist in physiotherapy for the elderly

15/09/2022

Researchers at Nanyang Technological University, Singapore (NTU Singapore) and Tan Tock Seng Hospital (TTSH) have developed a wearable assistive robot that can detect and prevent a fall before it happens, reducing the user’s risk of sustaining injuries.
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ckstockphoto

Machine learning to unlock genomic code in clinical cancer samples

13/09/2022

A new paper from University of Helsinki, published in Nature Communications, suggests a method for accurately analysing genomics data in cancer archival biopsies.
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Bild: Elderly woman sitting on the bed and having a heart problem, she is holding her chest in pain; Copyright: Rawpixel

Rawpixel

AI improves treatment in women with heart attacks

07/09/2022

Heart attacks in women are more likely to be fatal than in men. The reasons are differences in age and in comorbidity burden which makes risk assessment in women a challenge. Researchers at the University of Zurich have now developed a novel artificial-intelligence-based risk score that improves personalized care for female patients with heart attacks.
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