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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

AI model forecasts bone removal in cochlear implant surgery

Cochlear implant surgery helps people with severe hearing loss by placing an electronic device inside the inner ear. To reach the inner ear, surgeons must first remove part of a bone behind the ear, in a procedure called mastoidectomy.

23 Feb 2026

AI system reads brain MRIs with high diagnostic accuracy

An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests.

6 Feb 2026

Oxybutynin shows promise in managing hot flashes for prostate cancer patients

A national clinical trial led by the Alliance for Clinical Trials in Oncology has found that oxybutynin, a drug often used to treat overactive bladder symptoms, reduces hot flashes compared to the placebo in men receiving hormone therapy for prostate cancer.

2 Feb 2026

Pancreatic and 'skinny fat' linked to brain health risks

The effect of obesity on brain health may depend not only on how much fat is in the body, but also on the areas of the body where fat is stored, according to a study published today in Radiology, the flagship journal of the Radiological Society of North America (RSNA).

27 Jan 2026

See through the skin: New technology spots early heart disease warning signs

Researchers from Helmholtz Munich and the Technical University of Munich (TUM) have developed "fast-RSOM", a new imaging technology that can capture detailed images of the smallest blood vessels directly through the skin – without the need for invasive procedures.

22 Jan 2026

New noninvasive technique can quickly collect 3D images of the human body

In a proof-of-concept study funded by the National Institutes of Health, researchers from the Keck School of Medicine of USC and the California Institute of Technology (Caltech) have shown that an innovative, noninvasive technique can be used to quickly collect 3D images of the human body, from head to foot.

16 Jan 2026

Hospital study shows adrenaline's rapid impact on cardiac arrest

When a patient's heart stops in a hospital, healthcare professionals need to act quickly.

7 Jan 2026

AI analysis of chest X-rays may reveal early signs of aging

Artificial intelligence may be able to reveal how fast your body is aging by analyzing a chest X-ray, according to a new study published in The Journals of Gerontology. Researchers found that a deep learning model was able to detect subtle, age-related changes in the heart, lungs, and overall health more effectively than leading DNA-based "epigenetic clocks."

17 Dec 2025

More AI explanations can reduce accuracy in cancer diagnosis

In recent years AI has emerged as a powerful tool for analyzing medical images. Thanks to advances in computing and large medical datasets from which AI can learn, it has proven to be a valuable aid in reading and analyzing patterns in X-rays, MRIs and CT scans, enabling doctors to make better and faster decisions, particularly in the treatment and diagnosis of life-threatening diseases like cancer.

11 Dec 2025

Breast arterial calcification on mammograms predicts future heart risk

Routine mammograms are a critical tool for breast cancer screening. However, they may also hold crucial, potentially untapped information about a person's risk for cardiovascular disease, the number one cause of death among adults.

11 Dec 2025