Researchers from the Department of Energy's Lawrence Berkeley National Laboratory have developed an imaging application that utilizes light-emitting nanoparticles and could provide a safer way to see deeper into living tissue and cells, according to research published in Nature Communications.

Computer-aided diagnosis (CAD) powered by artificial intelligence can accurately assess diminutive colorectal polyps, according to a new study published in Annals of Internal Medicine. But is the CAD’s performance level high enough that specialists can follow the recommended “diagnose-and leave” strategy for diminutive polyps?

Chemists from Japan have developed a photostable fluorescent dye that enables long-term bioimaging of living cells in the near infrared region (NIR), according to a new study in Angewandte Chemie International Edition.

An artificial intelligence (AI) software designed by Google DeepMind and U.K. physicians identified diseases on optical coherence tomography scans and made the correct referral choice in 94 percent of cases, according to a recent Nature Medicine report.

Researchers have developed an artificial intelligence (AI) platform that can detect acute neurologic events in CT images in just 1.2 seconds, according to a new study published in Nature Medicine.

Researchers at Massachusetts Institute of Technology (MIT) have created a machine-learning technique that reduces the toxic chemotherapy and radiotherapy doses for patients with the most aggressive form of brain cancer.

An artificial intelligence (AI) platform created at Mount Sinai Health System in New York can accurately read a CT scan and diagnose a neurological illness, such as stroke in 1.2 seconds—outperforming its human counterpart.

A machine-learning algorithm that uses a technique known as reinforced learning can dramatically cut toxic chemotherapy and radiotherapy by optimizing treatment plans and drug dosages for glioblastoma patients, according to research out of the Massachusetts Institute of Technology.