#imaging

#imaging

"I would like to sincerely apologise to any patients who have been affected and recalled for a scan as I understand receiving such news can be unsettling."

Getting this scan is very important because it tells me if there's anything going on in the inside that I should be worried about.

The CAFC affirmed as to anticipation but reversed as to obviousness, holding that the Board relied on the wrong legal standard in finding no motivation to combine. The court emphasized that KSR v. Teleflex explicitly eschews such a rigid approach to obviousness, indicating the PTAB failed to properly apply flexible, common-sense reasoning when evaluating whether combining prior art references would have been obvious to one skilled in the art.

EchoPrime, a video-based vision-language model, analyses echocardiogram footage and generates a written report of cardiac form and function. Its findings were published in Nature (volume 650, pages 970-977) in February 2026, under the title 'Comprehensive echocardiogram evaluation with view primed vision language AI.'

The large volume of abdominal computed tomography (CT) scans coupled with the shortage of radiologists have intensified the need for automated medical image analysis tools. Previous state-of-the-art approaches for automated analysis leverage vision-language models (VLMs) that jointly model images and radiology reports.

Wright knew last year that he wanted to propose to Berman, and her brother had been keeping the dazzling diamond engagement ring safe for him for months. Wright was just waiting for the right moment to pop the question, and the urgent care appointment provided the perfect opportunity. The morning of Thursday, Feb. 12, Wright picked up the 3.47 carat fancy vivid yellow canary diamond ring before heading to CityMD.

According to University of Michigan neuroscientists, not only can their AI vision language model diagnose neurological disorders from MRI scans with high performance accuracy, but it also has foundation model capabilities, making it a flexible, general-purpose solution that can be tailored for a wide variety of medical imaging. "These results demonstrate that Prima has foundation model properties, and reported performance will continue to improve with additional health system training data and larger compute budgets," wrote the study's authors in the preprint.

He told me about a man, who I'll call B, who had completed nearly all the requirements for a radiology specialization at the University of Montreal. This man was the best student in his class. He had spent fifteen years training. He could read twice as many radiological scans as a non-autistic colleague. He was also a professional-level guitarist. Mottron called him "the Glenn Gould of radiology," Glenn Gould being a brilliant, classical pianist.

Jessica Mason went back and forth to her GP and hospital with swelling, bleeding and pain in her vagina but says she was "fobbed off" before "begging" for a scan which revealed cancer requiring urgent treatment. The 44-year-old believes she was only referred for an MRI because she "broke down in tears" to a doctor, adding: "I knew there was something wrong."

The human brain is complex. Artificial intelligence (AI) machine learning and medical imaging data are accelerating breakthroughs in brain health, especially in medical diagnostics. A peer-reviewed study published today in Nature Neuroscience unveils an AI foundation model called BrainIAC (Brain Imaging Adaptive Core) that is capable of predicting brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

Public health consultant Dr Ross Keat said supporting people earlier to make small preventative changes would make "a big difference later on". Some 3,500 people in the north of the island within that age bracket are eligible for the checks. The checks will be carried out by two pre-existing nurses that support GP staff and would not replace GP appointments, Keat explained, adding that the cost would be minimal and absorbed by Ramsey Group Practice.

After losing both of his parents to cancer, Tom set out to challenge a healthcare system that often waits for symptoms instead of identifying risk early. What began in Deerfield Beach, Florida, has grown into a multi-location preventative imaging company serving communities across the state. Life Imaging Fla focuses on preventative heart and full-body screenings. These services give people access to advanced imaging that is typically only approved once symptoms appear. The goal is straightforward: identify disease earlier, when people still have time, options, and control.

The world of medical practice management is changing faster than ever, driven by two simultaneous forces: escalating patient expectations and crushing administrative complexity. In my years working with healthcare organizations, I've seen these challenges evolve from nuisances into crises. Research by Bain & Company found that 65% of healthcare consumers want more convenient experiences, and 70% want more responsiveness from providers. They want instant answers to routine questions, immediate scheduling access and minimal friction.

Anais Muczynski, 36, an orthoptist who lives with her husband Vincent Muczynski, 41, a researcher, received her primary breast cancer diagnosis in January 2023 after discovering a quail egg-sized lump in her left breast. At the time, the London-based couple were "optimistic", as it was stage one meaning the cancer was only in the breast tissue or in the lymph nodes close to the breast and she underwent chemotherapy, immunotherapy, and a double mastectomy.

AI plays an important role-but not by fixing fragmented data on its own. The work of organizing, connecting, and interpreting healthcare information still belongs to people and the systems they build. Where AI helps is after that foundation is in place: by bringing the right information forward at the right time, reducing the effort it takes to find what matters, and supporting better decisions in the moment of care.

When Dr. Homoud Aldahash started the three-hour process of removing a tumor about the size of a walnut from a patient's brain, it was an experience unlike any other in his 25 years as a neurosurgeon. It wasn't Aldahash's gloved hands slicing 68-year-old Mohammed Almutrafi's right frontal lobe, but surgical instruments attached to a set of robotic arms, which Aldahash controlled from a console where he sat three meters away.

My dad was in the emergency room, short of breath, chest tight, upper back aching. He looked pale and confused. An ultrasound showed excess fluid between his lung and chest wall. "We'll drain it," a resident said, as if he were unclogging a sink. For the next five days, thick, red-tinged fluid filled a plastic container beside my dad's hospital bed. Doctors sent his cells for "staining," a way to identify cancer. But no one used that word.