AI

Article • Targeted Real-time Early Warning System for hospitals

Early detection of sepsis with the help of AI

Sepsis, a life-threatening, systemic, toxic bodily reaction to infection, is often difficult to detect in its early stages. Its symptoms, including fever, shortness of breath, rapid heart rate, and confusion, are associated with many medical conditions of hospitalized patients. But if not treated rapidly, a patient may die. The Targeted Real-time Early Warning System (TREWS) for sepsis detection…

Article • Imaging advances

Liver disease assessment: AI may give CT the edge over MRI

To assess diffuse liver disease, MRI is currently the modality of choice. New developments in artificial intelligence (AI) could tip the scales in favour of CT imaging. At ECR 2022 in July, experts showed how AI technology enables CT to quantify liver fat as exquisitely as MRI.

Article • Diagnostic assistant systems

AI in endoscopy: helper, trainer – influencer?

Artificial intelligence (AI) is increasing its foothold in endoscopy. Although the algorithms often detect pathologies faster than humans, their use also generates new problems. PD Dr Alexander Hann from the University Hospital Würzburg points out that the use of AI helpers can affect not only the reporting of findings – but also the person making the findings.

Malignant tumour management

’Our machine learning model achieved 88.9% accuracy in predicting the sarcoma-specific survival rate’

Clinical management of soft tissue sarcoma is particularly challenging. Dr Sebastian Foersch, researcher at the Institute of Pathology at the University Medical Center in Mainz, Germany, has used a deep learning model for diagnosis and prognosis prediction of soft tissue sarcoma using conventional histopathology slides.

CNN applications in pathology

‘Deep learning can predict survival directly from histology in clear cell renal cell carcinoma’

Renal cell carcinoma is among the fifteen most common cancers worldwide. Dr Titus Brinker, from the German Cancer Research Center (DKFZ), looked at whether a convolutional neural network (CNN) can extract relevant image features from a typical H&E-stained slide to predict 5-year overall survival.

Article • AI provides prognostic information

Next-generation deep learning models predict cancer survival

Deaths from cancer are currently estimated at 10 million each year worldwide. Conventional cancer staging systems aim to categorize patients into different groups with distinct outcomes. ‘However, even within a specific stage, there is often substantial variation in patient outcomes,’ Markus Plass, academic researcher from the Medical University of Graz, Austria, explained to Healthcare in…

Supervised learning approach

A new deep learning-based algorithm to predict relapse-free survival in papillary thyroid carcinoma

The tall cell variant (TCV) is an aggressive subtype of papillary thyroid carcinoma (PTC). Sebastian Stenman, researcher from the Institute for Molecular Medicine, and the Department of Pathology at the University of Helsinki, Finland, is developing and training a deep learning algorithm using supervised learning to detect and quantify the proportion of tall cells in PTC.

Article • Keratoplasty

Corneal transplantation surgery: AI for an eye

Many consider our eyes to be the windows to the soul. Yet the cornea, the panes of these windows, sometimes need significant repair. Friso Heslinga, PhD, created artificial intelligence models to support surgeons in one of the oldest and most common transplantation procedures.

The potential of AI in routine blood testing

It’s widely known that more than 70% of today’s medical decisions involve the results of laboratory tests, but the insights clinicians derive from these tests today may only be scratching the surface of their potential.

Improving quantification and productivity

Bayer recently announced the launch of Calantic Digital Solutions, a new platform delivering access to digital applications, including artificial intelligence (AI) enabled programs for medical imaging.

News • Automa+ 2022

Setting the directions of innovative future

Driving the healthcare industry towards digital transformation was the main direction of Automa+ 2022. The Congress gathered leaders from hospitals and healthcare providers, pharmaceutical companies, governmental bodies and institutions as well as medical device manufacturers, service providers and start-ups in Zurich, Switzerland on September, 26-27, 2022.

News • Devil in the details

Why healthcare researchers must be wary of misusing AI

An international team of researchers advises that strong care needs to be taken not to misuse or overuse machine learning (ML) in healthcare research, despite all of its benefits.

Article • “I, Algorithm“

Applying the 3 laws of robotics to AI in radiology

Ethical considerations continue to fuel the discussion around artificial intelligence (AI), a panel of experts showed at ECR 2022.

News • Healtchare devices

Hearing aids could read lips through masks

A new system capable of reading lips with remarkable accuracy even when speakers are wearing face masks could help create a new generation of hearing aids.

Article • Interpreter of maladies

Will AI help realize the promise of precision medicine?

Machine learning and artificial intelligence (AI) have the potential to transform cancer treatment management worldwide. Their ability to rapidly analyse and integrate routinely acquired diverse data will improve the accuracy and effectiveness of precision medical treatments.

News • Imaging AI

Photon-counting CT improves myeloma bone disease detection

New CT technology paired with artificial intelligence-based noise reduction offers superior detection of bone disease associated with multiple myeloma at lower radiation doses than conventional CT.

News • mhealth

App accurately detects COVID-19 infection in people’s voices

Artificial intelligence (AI) can be used to detect COVID-19 infection in people’s voices by means of a mobile phone app, according to research to be presented at the European Respiratory Society International Congress.

Interview • Cardisiography

AI supported vector cardiography to enhance screening precision

Cardisiography is a screening method for detecting structural, rhythmical, or vascular heart disease and a decision support tool to guide targeted follow-up. Meik Baumeister, CEO of Cardisio, talks about the development and the operating principle.

Article • Possibilities and risks

AI in cardiology: so much is feasible – but is everything useful?

It might sound like science fiction but it is reality in cardiology: with the help of artificial intelligence (AI) physicians can recognize from a patient’s headshot whether the person is suffering from coronary artery disease and is therefore at risk of myocardial infarction. But is that knowledge really useful? Professor Dr David Duncker calls for a differentiated and careful assessment of…

News • AI vs. NSCLC

Streamlining lung cancer radiotherapy with Deep Learning

UK researchers developed and validated a deep learning algorithm that can identify and outline a non-small cell lung cancer (NSCLC) tumor on a CT scan within seconds.

News • Monitoring technology

AI to detect Parkinson’s from breathing patterns

A device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world: Parkinson's.

News • Throat surgery

After laryngectomy: AI screens voice pathologies

Striving to improve the patient’s quality of life after laryngectomy, researchers conducted a study, during which they searched for pathologies in patients’ voices using artificial intelligence (AI).

News • For the first time

Similarity between schizophrenia and dementia dicovered

Researchers for the first time compared schizophrenia and frontotemporal dementia, disorders that are both located in the frontal and temporal lobe regions of the brain.

Article • Philips presents portfolio update at ECR 2022

AI-powered MRI to increase imaging speed, reduce staff burden

The portfolio Philips presented at ECR 2022 revealed that the company not only advanced their products, but also listened to medical professionals and patients – and took their feedback to heart.

News • Machine learning analysis of idiopathic pulmonary fibrosis

IDF diagnosis: AI on par with medical specialists

Researchers developed an AI that accurately and quickly diagnoses idiopathic pulmonary fibrosis, based only on information from lung images and medical information collected during daily medical care.

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