Diagnostics

News • Contrastive language image pretraining

AI system to interpret cardiac MRI scans with enhanced accuracy

A team of researchers has developed an AI system capable of interpreting some of the most complex heart scans in medicine, cardiac MRI, without the need for manually labeled training data.

Article • Opportunistic screening

AI tools extract hidden health insights from routine chest imaging

Artificial intelligence is enabling radiologists to extract valuable diagnostic information from routine chest imaging – identifying patients at risk for osteoporosis and cardiovascular disease…

News • Study shows challenges in primary care

Why diagnosing endometriosis often takes years

Endometriosis affects up to one in ten women and girls of reproductive age, but for many, the path to diagnosis is both long and complex. Now, two new studies explain the diagnostic challenges in…

News • Quicker diagnosis approach

New biosensor for detecting active tuberculosis

A research team is leading the development of a sensor that paves the way for the rapid, selective and cost-effective detection of active tuberculosis infection.

News • Hybrid deep learning approach

"Double vision" AI system to detect lung cancer from CT scans

To improve lung cancer detection, researchers have developed a new AI system that employs a dual approach to analyse CT scans – seeing both detail and context at the same time.

News • Deep joint-learning proteomics model

New AI model detects multiple brain diseases from a single blood sample

Researchers have developed an AI model showing that it is possible to detect different neurodegenerative diseases - for example, Alzheimer’s and Lewy body disease - from a single blood sample.

Article • Advancing kidney disease investigation

Digital spatial profiling: new ways for diagnostic histopathology

Digital spatial profiling (DSP) is emerging as a powerful technology in helping specialists investigate complex kidney disease, according to a leading expert. Professor Renate Kain believes spatial profiling adds significantly to systems biology approaches that will transform diagnostic histopathology. However, she warns that the adoption and effective utilization of the technique is critically…

News • Between AI law and patient reality

Do patients have a right to understand health AI?

"Why did the computer conclude this?": Patients increasingly scrutinize the impact of AI on medical diagnostics. A new article explores the tension between transparency and legal frameworks.

News • Neurodegenerative diseases

New biomarker improves diagnosis of Parkinson's and LBD

A biomarker discovered in the cerebrospinal fluid could improve diagnosis of Parkinson's disease and dementia with Lewy bodies.

News • Affordable diagnostics

Detecting bacterial infection with simple breath test

Bacterial infections can be difficult to distinguish from viral infections and inflammation, but a simple breath test may change that. This could reduce unnecessary antibiotic prescriptions.

Redrawing contrast dose limits in MRI

At this year’s European Congress of Radiology (ECR) in Vienna, Bayer presented new data on a contrast agent that could transform MRI imaging: gadoquatrane, which requires up to 60% less gadolinium than previous standard macrocyclic preparations whilst maintaining the same diagnostic accuracy. Prof. Hubertus Pietsch, Head of MRI & CT Contrast Agent Research at Bayer and one of the key…

News • Liquid biopsy screening tool

AI metabolomics platform to advance pancreatic cancer early diagnosis

Pancreatic cancer remains a diagnostic challenge, due to unspecific early symptoms and lack of effective screening tools. A novel AI metabolomics platform could help overcome these issues.

News • Biomarker-agnostic detection

Electronic nose uses AI to “smell” ovarian cancer

Using machine learning, researchers have trained an electronic nose to detect early signs of ovarian cancer in the blood. The method could eventually be used to find many different cancers.

News • New sequencing technique

Classifying pediatric brain tumors with liquid biopsy and AI

Clues in the CSF: Researchers have developed the first high-precision method that can theoretically diagnose common brain tumors in children and adolescents without surgery.

News • Digital tool for point-of-care screening

AI stethoscope shows promise in detecting heart disease

An AI-assisted stethoscope could help doctors identify patients with valvular heart disease who may otherwise go undiagnosed. This could reduce hospital admissions and overall healthcare costs.

News • Maternal health

Stroke symptoms often go unrecognized in pregnant women

Severe headache, neck pain or confusion: More than 25% of pregnant women suffering non-specific stroke symptoms sought care but were misdiagnosed, University of Pittsburgh research finds.

News • 'Islands of consciousness' in ICU patients

Tool opens new way to detect awareness in unresponsive patients

To better diagnose patients who appear unconscious in ICUs, and predict their recovery potential, researchers developed a tool that integrates multiple modalities for analyzing consciousness.

News • Remote sampling

Home blood test for Alzheimer's shows promise

An international study shows that Alzheimer’s disease biomarkers can be accurately detected using simple finger-prick blood samples that can be collected at home and mailed to a laboratory.

News • Clinically validated framework

AI helps detect kidney cancer faster

A novel machine-learning-based solution analyses CT images and helps radiologists detect both malignant and benign lesions in the kidney more quickly and reliably.

News • Tissue sample analysis

Demographic bias creeps into pathology AI, study finds

A sample of inequality: A new study shows that AI models can infer demographic information from pathology slides, leading to bias in cancer diagnosis among different populations.

News • Rapid diagnostics

New system simultaneously detects antibiotic resistence and virulence of K. pneumoniae

Now, a research team has developed a novel diagnostic approach that enables the rapid and simultaneous detection of both antibiotic resistance and high virulence in Klebsiella pneumoniae.

News • Prevalence, changes and associated factors

How to reduce the risk of head and neck lymphedema after radiotherapy

Researchers have discovered that low physical activity is associated with a higher risk of lymphedema. They have also noted that a lymph scanner objectively measures changes in the condition.

News • Identification of high-risk CAD patients

FFR-CT: AI tool predicts heart attack risk in angina patients

Can CT-derived fractional flow reserve (FFR-CT) be used in patients with angina to predict future major cardiovascular events? A novel AI-based approach for CCTA analysis yields promising results.

News • Differentiation after radiotherapy

Brain tumour or radiation necrosis? AI can tell them apart

A novel AI-based method can distinguish between progressive brain tumours and radiotherapy-induced necrosis on advanced MRI. This could help clinicians more accurately identify and treat the issues.

News • AI-driven diagnostics

Philips and Cortechs.ai expand neuroimaging partnership

Philips and Cortechs.ai have extended their collaboration to integrate AI-enabled quantitative neuroimaging analytics directly into MR systems. The partnership aims to provide radiologists with automated, objective measurements of brain structures and lesions to support diagnosis and monitoring of neurological conditions.

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