Medical Imaging News and Research

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New protocol screens clinical research participants for prior radiation exposure

A new study highlights a critical gap: most clinical research studies that use imaging techniques such as amyloid positron emission tomography (PET) scans do not account for the radiation participants have already received from prior medical procedures.

29 May 2026

Diverse AI foundation models transform universal eye care imaging

Artificial intelligence (AI) has already changed many aspects of medical imaging, but traditional ophthalmic AI systems are often built for a single disease, dataset, or task.

20 May 2026

Medical imaging could improve precision diagnosis of aggressive head and neck tumors

Medical imaging routinely used in cancer care may hold far more biological information than previously thought.

13 May 2026

AI-powered handheld microscope may improve early cancer detection

Researchers at Rice University and The University of Texas MD Anderson Cancer Center have developed a compact, artificial intelligence-powered imaging device that could transform how clinicians detect cancer.

12 May 2026

New "plug-and-play" AI outperforms pathologists in lymph node metastasis detection

A research team led by The Hong Kong University of Science and Technology (HKUST) has developed a pioneering artificial intelligence (AI) pathology analysis system that can accurately recognize multiple types of cancer using only a minimal number of samples-without requiring any additional training. This breakthrough significantly enhances the flexibility and efficiency of AI-assisted medical care, marking a major step forward toward the widespread adoption of intelligent pathology.

22 Apr 2026

Dual perspective AI model achieves high accuracy in early lung cancer diagnosis

Lung cancer remains the leading cause of cancer-related deaths worldwide, accounting for nearly one in five cancer deaths - around 1.8 million lives lost each year.

7 Apr 2026

Study introduces biomarker to characterize aggressiveness of brain tumors

Researchers from the Biomedical Data Science Laboratory (BDSLab) at the ITACA Institute of the Universitat Politècnica de València have developed a new method based on magnetic resonance imaging that enables objective quantification of the growth of the most aggressive brain tumours, particularly glioblastoma.

2 Apr 2026

Imaging study measures pancreatic fat in children and teens

Higher fat content in the pancreas of children and adolescents with obesity is associated with an increased level of heart and metabolic risk factors, including higher than average body mass index (BMI), elevated diastolic blood pressure, higher levels of abdominal and liver fat, and insulin resistance, according to new research presented at this year's European Congress on Obesity (ECO) in Istanbul, Turkey (12-15 May).

1 Apr 2026

Novel vFFR method performs similar to invasive coronary assessment

A novel, minimally invasive method of determining whether fatty deposits in a coronary artery are restricting blood flow to a patient's heart performed similarly to the standard, more-invasive procedure in a large multi-country European randomized trial presented at the American College of Cardiology's Annual Scientific Session (ACC.26).

29 Mar 2026

Study finds AI-generated X-rays can fool radiologists and chatbots

Researchers found that both radiologists and multimodal AI models had only moderate success distinguishing synthetic radiographs from real clinical images, even when told fakes were present. The study warns that increasingly realistic AI-generated X-rays could be misused in medicine, research, insurance, and litigation, strengthening the case for watermarking, clinician training, and dedicated detection tools.

25 Mar 2026

Deepfake X-rays can deceive radiologists and AI systems

Neither radiologists nor multimodal large language models (LLMs) are able to easily distinguish artificial intelligence (AI)-generated "deepfake" X-ray images from authentic ones, according to a study published today in Radiology, a journal of the Radiological Society of North America (RSNA).

24 Mar 2026

Scientists turn red blood cells into long-lasting drug and imaging carriers in mice

A new preclinical study shows that red blood cells can be tagged in vivo and used as long-lasting carriers for imaging agents and therapies, opening a new route for safer drug delivery and vascular imaging.

23 Mar 2026

New multiview AI architecture improves accuracy of heart disease diagnosis

Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority.

23 Mar 2026

AI-driven OCT imaging system enables precise wound healing assessment

No matter the size or severity, wounds on human skin are difficult to monitor while they heal. Biopsies disrupt the wound site and are too invasive for routine, repeated monitoring, and most medical imaging devices that could do the job are large, expensive and booked up with more pressing diagnostics.

23 Mar 2026

Researchers use multiview deep learning to enhance echocardiogram analysis

Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority. An echocardiogram, or cardiac ultrasound, is one of the most commonly used imaging tools employed by physicians to diagnose a variety of heart diseases and conditions.

17 Mar 2026

Expert consensus validates UDFF for noninvasive fatty liver assessment

As the global burden of obesity, type 2 diabetes, and metabolic syndrome continues to rise, fatty liver disease has become one of the most prevalent chronic liver conditions worldwide. Its progressive forms, including metabolic dysfunction‐associated steatohepatitis (MASH), cirrhosis, and hepatocellular carcinoma, now represent a major public health challenge.

17 Mar 2026

New AI system reduces pathologist workload while maintaining diagnostic accuracy

Artificial intelligence could make cancer diagnosis safer and fairer by learning when to defer to human pathologists without overloading them, according to researchers from the University of Surrey and Monash University.

13 Mar 2026

Can one AI analyze all medical scans? MedVersa shows promise across multiple imaging tasks

esearchers developed MedVersa, a generalist multimodal AI model trained on tens of millions of medical imaging instances to perform diverse radiology tasks within a single framework. The model matched or exceeded specialist AI systems across several benchmarks and produced radiology reports comparable to human reports in many cases while improving reporting efficiency.

8 Mar 2026

Researchers develop versatile machine learning tool to automate complex clinical diagnostics

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

4 Mar 2026

FDA clears cloud-based AI system to forecast predicted delivery date

Ultrasound AI, a pioneer in artificial intelligence applications for medical imaging, today announced it has received FDA De Novo clearance for its flagship Delivery Date AI technology, a cloud-based SaMD that determines a Predicted Delivery Date (PDD) solely from standard ultrasound images and seamless integration into current OB/MFM prenatal visit workflows; PDD is provided in real-time for actionable decision-making by the clinical team.

2 Mar 2026

Medical Imaging News and Research

New protocol screens clinical research participants for prior radiation exposure

Diverse AI foundation models transform universal eye care imaging

Medical imaging could improve precision diagnosis of aggressive head and neck tumors

AI-powered handheld microscope may improve early cancer detection

New "plug-and-play" AI outperforms pathologists in lymph node metastasis detection

Dual perspective AI model achieves high accuracy in early lung cancer diagnosis

Study introduces biomarker to characterize aggressiveness of brain tumors

Imaging study measures pancreatic fat in children and teens

Novel vFFR method performs similar to invasive coronary assessment

Study finds AI-generated X-rays can fool radiologists and chatbots

Deepfake X-rays can deceive radiologists and AI systems

Scientists turn red blood cells into long-lasting drug and imaging carriers in mice

New multiview AI architecture improves accuracy of heart disease diagnosis

AI-driven OCT imaging system enables precise wound healing assessment

Researchers use multiview deep learning to enhance echocardiogram analysis

Expert consensus validates UDFF for noninvasive fatty liver assessment

New AI system reduces pathologist workload while maintaining diagnostic accuracy

Can one AI analyze all medical scans? MedVersa shows promise across multiple imaging tasks

Researchers develop versatile machine learning tool to automate complex clinical diagnostics

FDA clears cloud-based AI system to forecast predicted delivery date

Lab Matters host Harriet Gould on building a more connected lab community

The Critical Role of Sample Storage in Drug Discovery and Development

Advancing Neuroscience Research Through Collaboration and Patient-Centered Innovation

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