biopsy

Towards an AI diagnosis like the doctor's

Researchers show how they can make an AI show how it's working, as well as let it diagnose more like a doctor, thus making AI-systems more relevant to clinical practice.

Deep learning accurately stains digital biopsy slides

Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.

Augmented reality brings ultrasound into a new dimension

Augmented reality ultrasound has, for the first time, made it possible to superimpose topographical representations of ultrasound images directly on a patient, with the examiner seeing the sectional image in AR glasses.

AI may help brain cancer patients avoid biopsy

Brain cancer patients in the coming years may not need to go under the knife to help doctors determine the best treatment for their tumors.

AI taps human wisdom for better cancer diagnosis

A new system combining artificial intelligence with human knowledge promises faster and more accurate cancer diagnosis.

Using AI to assess ulcerative colitis

Researchers develop an AI system that effectively evaluates endoscopic mucosal findings from patients with ulcerative colitis without the need for biopsy collection.

Hybrid microscope could bring digital biopsy to the clinic

By adding infrared capability to the ubiquitous, standard optical microscope, researchers hope to bring cancer diagnosis into the digital era.

Using robotics to fight breast cancer

Various prototypes of 3D-printed biopsy robots could alleviate the suffering of patients and make breast cancer testing more accurate and efficient.

Using AI to detect and grade prostate cancer

Researchers have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer.

Sensor chip detects cancer biomarker in urine

Researchers have used a chip-based sensor with an integrated laser to detect very low levels of a cancer protein biomarker in a urine sample.

Using AI to predict risk of thyroid cancer on ultrasound

Researchers from Thomas Jefferson University use machine learning on ultrasound images of thyroid nodules to predict risk of malignancy.

Combination of AI and radiologists accurately identified breast cancer

An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.

Microscopy and VR illuminate new ways to treat disease

Researchers are pairing a nanoscale imaging technique with virtual reality technology to create a method that allows researchers to “step inside” their biological data.

Technology pinpoints biopsies to detect prostate cancer

Medical software that overlays tumour information from MRI scans onto ultrasound images can help guide surgeons conducting biopsies and improve prostate cancer detection.

MURAB: Roboter-assisted diagnostic of breast cancer

The Murab project is developing technology that will make it possible to take more accurate biopsies and diagnose cancer and other illnesses faster.

Student 3D bioprints cancer

A student is aiming to 3D print life-sized breast cancer tumours, with her research targeting faster, more effective treatment for women with the disease.