
AI picks up mutations in colorectal cancers
A deep learning algorithm picks up molecular pathways and the development of key mutations more accurately than existing methods.
A deep learning algorithm picks up molecular pathways and the development of key mutations more accurately than existing methods.
Egidijus Pelanis, a medical doctor at Oslo University Hospital, explains how extended realities is applied in the operating room.
AI tools models are a powerful tool in cancer treatment. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions.
Researchers have developed a holographic technique that can rapidly reconstruct microscopic images of samples with up to 50-fold acceleration compared to existing methods.
Using AI and mobile digital microscopy, researchers hope to create screening tools that can detect precursors to cervical cancer in women in resource-limited settings.
Stratasys Ltd. announced it has successfully sold and installed the J750 Digital Anatomy 3D printer at healthcare institutions and medical service providers in major markets across the globe.
Artificial intelligence is developing at an enormous speed and intelligent instruments will profoundly change surgery and medical interventions.
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
Researchers have developed an AI algorithm that uses computer vision to analyze tissue samples from cancer patients.
Bioengineers have cleared a major hurdle on the path to 3D printing replacement organs with a breakthrough technique for bioprinting tissues.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
A new system combining artificial intelligence with human knowledge promises faster and more accurate cancer diagnosis.
To better leverage cancer data for research, scientists are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports.
By adding infrared capability to the ubiquitous, standard optical microscope, researchers hope to bring cancer diagnosis into the digital era.
Researchers have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer.
Physicians have been using automatic digital retinal screening, without assistance from an ophthalmologist, to detect diabetic retinal disease.
Pairing a smartphone to capture retinal images with an AI may offer a solution for better screening for diabetic retinopathy.
Several research groups at the Berlin Institute of Health (BIH) are working on digitally combating cancer, comparing experiences with different diagnostic and treatment methods.
Our health system today can no longer be sustained in its existing form. It has become too expensive and too ineffective.
In a matter of seconds, a new algorithm read chest X-rays for 14 pathologies, performing as well as radiologists in most cases, a Stanford-led study says.
Seemingly out of science fiction, the virtual dissection table brings the future of gross anatomy and clinical science education to real life.