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.
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An engineer designed the first neurosurgical robotic system capable of performing bilateral stereotactic neurosurgery inside a MRI scanner.
A deep learning-based technique can be used to eliminate the need for special stains to be prepared by human histotechnologists.
Clinicians are using patient-specific tumor 'organoid' models as a preclinical companion platform to better evaluate immunotherapy treatment for appendiceal cancer.
Dr Jan Stallkamp has a vision: robots that can treat patients more efficiently and more precisely than any human physician.
Scientists have made a breakthrough in their work to develop semi-autonomous colonoscopy, using a robot to guide a medical device into the body.
Artificial intelligence is developing at an enormous speed and intelligent instruments will profoundly change surgery and medical interventions.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
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.
Thanks to smart software doctors will soon be able to detect early signs of esophageal cancer in patients with so-called Barrett’s esophagus.
By adding infrared capability to the ubiquitous, standard optical microscope, researchers hope to bring cancer diagnosis into the digital era.
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
Researchers are pairing a nanoscale imaging technique with virtual reality technology to create a method that allows researchers to “step inside” their biological data.
Medical software that overlays tumour information from MRI scans onto ultrasound images can help guide surgeons conducting biopsies and improve prostate cancer detection.
The Murab project is developing technology that will make it possible to take more accurate biopsies and diagnose cancer and other illnesses faster.