Inflammatory disorders

AI allows automated scoring of psoriasis area, severity

(HealthDay)—Deep learning algorithms, such as convolutional neural networks (CNNs), can automatically and objectively perform image-based Psoriasis Area and Severity Index (PASI) scoring, according to a study published ...

Health informatics

New imaging technology may reduce need for skin biopsies

Instead of surgically removing a sample of skin, sending it to a lab and waiting several days for results, your dermatologist takes pictures of a suspicious-looking lesion and quickly produces a detailed, microscopic image ...

Neuroscience

Single neurons might behave as networks

We are in the midst of a scientific and technological revolution. The computers of today use artificial intelligence to learn from example and to execute sophisticated functions that, until recently, were thought impossible. ...

Oncology & Cancer

Deep learning model classifies brain tumors with single MRI scan

A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a study ...

Neuroscience

Using deep learning to research material transport in the brain

The brain is the most complex organ in the human body, controlling everything from senses to behaviors. Like any part of the body, it is subject to various errors that affect cognitive and physical functions, some of which ...

Neuroscience

Neural mechanism of autonomous learning uncovered

Thanks to so-called 'deep learning," a subset of artificial intelligence (AI) algorithms inspired by the brain, machines can match human performance in perception and language recognition and even outperform humans in certain ...

Oncology & Cancer

A 'leap forward' in risk management of rectal cancer

Rectal cancer, along with colon cancer, is the third-most common type of cancer in the United States, and treatment and surgery greatly affect the quality of life of patients. A multi-disciplinary team at Washington University ...

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