Artificial Intelligence

A new artificial intelligence (AI) algorithm developed by Canadian researchers can detect evidence of cognitive decline in brain MRI scans, genetics and clinical data, and may predict whether findings will lead to Alzheimer’s disease five years before symptoms appear.

Determining how highly specialized surgeons and physicians learn new skills or respond to a stressful situation may be unveiled with recently published neuroimaging research, the Wall Street Journal reported on Oct. 3.

In a recent institutional study, artificial intelligence (AI) was found to identify learning difficulties in children struggling in school not previously detected or that did not match an existing diagnosis—such as attention deficit hyperactivity disorder (ADHD), an autism spectrum disorder or dyslexia.

Facebook is planning to double the size of its Facebook Artificial Intelligence Research (FAIR) division by the year 2020 and grow to have 400 employees, according to a recent report by Forbes.

A team of U.S. researchers accurately trained a deep learning convolutional neural network (CNN) to classify three common dermatopathology diagnoses, according to recent research published in the Journal of Pathology Informatics.

A deep learning-based automatic detection algorithm (DLAD) detected malignant pulmonary nodules on chest x-rays better than radiologists, according to a Sept. 25 study in Radiology.

An agreement between artificial intelligence (AI) startup Paige.AI and Memorial Sloan Kettering Cancer Center in New York is drawing backlash over the company’s exclusive rights to the cancer center’s 25 million pathology slide images, the New York Times reported.

The process of episodic memory—the ability to combine memories to solve problems—may be enabled by the brain’s capacity to store, activate and connect specific memories in the hippocampus, according to new theoretical research published online Sept. 19 in Neuron.

A deep-learning algorithm beat thoracic radiologists at classifying fibrotic lung disease, according to research published Sept. 15 in The Lancet Respiratory Medicine.

Health Imaging spoke with Eliot Siegel, MD, before this year’s SIIM Conference on Machine Intelligence in Medical Imaging to learn more about challenges and opportunities related to artificial intelligence (AI) in medical imaging, how AI and machine learning should be incorporated into clinical applications and what the future holds for AI.

Artificial intelligence (AI)-focused startup published a study Tuesday, Sept. 18, validating its chest x-ray algorithm trained on 1.2 million chest scans and radiology reports.

An artificial intelligence (AI) algorithm created by NYU School of Medicine researchers distinguished between two forms of lung cancer with 97 percent accuracy, according to a study published in Nature Medicine.