medical imaging artifact detection

In a hall of mirrors, a person walks up to a curved mirror and sees themselves now as a dwarf, now as a giant. Popular machine learning models behave in much the same way when asked to guess biological age from blood tests or brain scans: they stretch age at the extremes, underestimating it in older people and overestimating it in younger ones.

A stain is found at a crime scene. The expert takes a swab, and a few hours later the instrument outputs a list of proteins that made up the fluid. Previously, a rapid test could be wrong if multiple fluids were present: blood mixed with saliva, and the strip gave a false result.

Imagine trying to figure out what happened in a room from the sound that lingers after a gunshot. The shot is gone, but the echo still bounces off the walls. That's roughly how a neuropathologist views a brain tissue section where the tumor itself is absent: the biopsy only captured healthy tissue that reacted to the disease.

You're looking for fireflies in a dark forest. Instead of photographing the whole forest every second and then poring over the images, you carry a small device that spots the flashes on its own and cuts out only a circle around each one. The rest, the blackness, isn't saved. That's exactly how the new sensor for scientific cameras works.

Inside a piece of aluminum, atoms are arranged in neat rows, like bricks in a wall. But sometimes a row ends before reaching the edge, and a "step" appears in the crystal, which physicists call a dislocation. These defects determine how strong, ductile, and how a metal behaves under load.

A shipping container is a steel safe the size of a room, packed with goods. X-rays struggle to see through it: thick walls and dense cargo block the rays. Enter muons — particles born high in the sky that constantly rain down on Earth. They can pass through even lead, but they veer slightly off course when they encounter something heavy.

Each morning, dozens of telescopes swing toward the Sun. Their cameras catch a narrow band of red light — the Hα line, discovered by Johann Balmer. The images reveal dark, whimsically curved threads. They look like stitches in a giant tapestry sewn through the blazing corona.

Assembling the puzzle of the Universe, astronomers are used to every new detail fitting perfectly into the already completed picture. But sometimes there are pieces that seem cut from another jigsaw. Twenty thousand active galactic nuclei, and eleven percent of them the neural network confidently rejects as alien.

The data from a single CT scan is comparable to several feature-length films. TCAM-Diff bypasses this bottleneck: the program compresses the 3D scene into three shadow projections — like a sculptor reconstructing a solid statue from silhouettes on three walls.

Ultrasound waves bounce off organs to draw their outlines, but on an ovarian scan it's hard to tell a harmless fluid-filled cyst from a solid cancerous mass. Even specialists draw the boundaries differently, and this directly affects treatment choices. The OvAi Focus program tackles this by learning from thousands of examples.

Imagine a kinked garden hose: water meets resistance, and pressure drops. A similar process occurs in arteries when they lose their straight geometry. Vascular tortuosity is not just a cosmetic defect but a factor that disrupts hemodynamics and poses a threat of ischemic stroke.

To find an epileptic seizure in brain activity recordings, scientists used an approach akin to picking out sharp sounds in a noisy room: instead of deciphering the entire chorus of brainwaves (EEG), they isolated only the strongest spikes.

A cook who learns to cook from hand-drawn pictures risks ruining every dish. The same trap awaits computer vision: models need thousands of labeled images, but collecting them manually is expensive and tedious. Synthetic frames solve the problem, but only if they look real.

An electron microscope is a giant pipe organ: instead of pipes (electromagnetic lenses, instead of air) a stream of accelerated electrons. It once merely painted mute frescoes of the atomic world, condemning scientists to grueling decipherment.

Every week, doctors ask AI assistants millions of questions at the bedside. But these tools are usually tested on exam-style problems, not on what clinicians actually ask in practice. A team of researchers set out to fix that. They collected 620 real questions from physicians across 30 specialties — from cardiology to oncology.

A cook spends years honing the skill of reducing a recipe to three or four essentials and recreating the dish from them. If the ingredients are familiar, the expected meal lands on the plate. A foreign ingredient disrupts compression, and you get something unrecognizable. The Quantum Compressor does the same with medical scans.

Perovskite crystals harvest sunlight almost as well as silicon, but cost pennies. Their trouble is an inborn fragility: from warmth and ordinary water in the air, they “get sick.” Inside, disorder builds up, and the shiny plate turns cloudy, losing its abilities within a couple of days.

A proofreader checks a manuscript before it goes to print. They don't know every possible mistake, but they know exactly what flawless text looks like. Spotting a strange symbol or a blurred word, they immediately circle it in red. That's roughly how the new program for checking medical images works.

A laser beam strikes bone, and it responds with a nearly inaudible ultrasonic echo. Hidden in that sound is information about every microcrack and every fluid-filled pore. The trouble is that conventional computer programs don't understand this language: they see the signal but don't know the physics that produced it.

A laser beam is split into dozens of thin filaments, passes through frosted glass, and reconverges to a single point. This is the workbench where the program took a seat. It received no instructions — only a general goal: figure out how light changes when passing through a scattering medium, and find something new.

If you photograph the same mountain with a film camera and a modern smartphone, you get different images: colors are brighter in one, details are blurrier in the other. The same goes for telescopes: each instrument sees the sky in its own way, adding its own distortions to the true light of galaxies, like a filter through which we look.

A piece of aluminum alloy is heated, and it quietly tells you about its strength. You just need to listen to that story in how the metal absorbs heat. The usual way to find out how strong an alloy is — pull it until it breaks. That takes time and destroys the sample.

A stroke hits suddenly, but before the strike, the brain sends quiet signals. Blood vessels stop smoothly regulating blood flow, like a thermostat that starts overheating or overcooling a room without reason. This imbalance is invisible on ordinary wearables, but it can be caught by listening to several body rhythms at once.

To spot a dim star above a brightly lit city, astronomers subtract one image from another — removing the glare of streetlights. They do the same with living neurons: their faint flashes drown in noise, but if you subtract everything unchanging, only they remain.

A semiconductor film one atom thick is like a tightly stretched membrane. Light makes it flash: luminous points (excitons) are born, which quickly fade. Where the membrane is torn or crumpled, the glow flickers and stutters, like a string with a knot sounding off-key.

Inside each tiny particle that makes up the cathode of a sodium-ion battery, sodium is unevenly distributed — like sugar clumping in tea. This reduces the battery's capacity and lifespan. To see this hidden landscape, scientists used X-ray microscopy and trained artificial intelligence to interpret the data.

A doctor stares at a gray-white smudge on the screen. It's the face of an unborn child. One shadow in the right place, and you can plan surgery in time. But not everyone sees that shadow: cleft lip or palate is rare, and a young specialist might go years without ever spotting one.

An electrocardiogram is like a recording of an engine's hum: an experienced mechanic can hear when something's off. A heart ultrasound shows the engine itself from the inside, but the machine is pricey and specialists are scarce.

Every breath in and out shifts internal organs by several centimeters. For an MRI scanner imaging the abdomen, this is like photographing a runner with a long exposure — the image comes out blurred. Clinicians have long known how to deal with this: they ask patients to hold their breath or take a series of fast snapshots between breaths. These methods are simple but effective.

A galaxy is not just a sprinkle of stars. At the center of many, something shines brighter than billions of suns: hot gas falling into a black hole. The color of this glow reveals what kind of life the galaxy leads — quietly birthing stars or violently consuming matter.

In winter, puddles freeze, and ice cracks the asphalt. Inside a living cell, freezing does something similar: ice crystals tear its membrane. To prevent this, the cell is soaked in a special solution, like antifreeze for a car. But precision is key: too little solution and ice still forms; too much and the solution itself poisons the cell.

An aneurysm is a weak spot in a blood vessel wall that bulges out like a bubble on an old bicycle inner tube. If the bubble bursts, blood floods into the brain. Doctors need to know how stressed the aneurysm wall is to decide whether to operate or just monitor.

A doctor looks at a breast image to find a suspicious lump. If the picture is beautiful and smooth, but the lump has vanished from it, such an image is of little use. This is exactly the problem faced by researchers who developed a new way to test software for photoacoustic tomography.

Light passing through a stained cell loses some of its strength, like a flashlight beam cutting through a glass of tea. The denser the color, the more light is absorbed. But until now, a microscope could only show a flat shadow of this process, not its volume.

A detective is looking for a criminal in a file of mugshots, but the portraits are mixed up. Usually, they expect a man with a gray beard, but the culprit is young and clean-shaven. Similarly, doctors often fail to recognize Alzheimer's disease in those who show unusual symptoms — not memory loss, but problems with vision or speech.

You need to sift through millions of keys to find the one that unlocks the lock of a disease. Each key is a molecule, and the lock is a protein in our body. Checking each key manually is impossible, so chemists use computer models that predict how a molecule will behave in reality. Until recently, accurate calculations took hours or days on powerful computers. The new tool AceFF does it in seconds.

An electrocardiogram is like a musical score, where each note is a heartbeat. A doctor hears the melody and spots the off-notes — arrhythmia. But listening to the score for hours is tiring, so a smart monitor is placed by the patient's bedside.