Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

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Tissue-clearing method for 3D imaging brain tissue may offer new health, disease insights

A team of international researchers has developed new tissue-clearing protocols for the 3D imaging of human brain tissue that may help answer questions around microstructural anatomy.

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Augmented reality could turn surgery into 3D experience, increase patient safety

Applying augmented reality (AR) to surgery may ultimately decrease medical errors made both inside and outside the operating room, according to an article published online by Harvard Business Review.

Trying to gauge AI's in healthcare fields

Artificial intelligence (AI) is a hot topic across medical fields, from handling information technology to its impact in imaging. In an interview with Forbes, Nuance Communications executive vice president and general manager Satish Maripuir discussed its potential to affect various areas in healthcare.

Radiology well positioned to embrace AI

Artificial Intelligence (AI) is perhaps the hottest topic across healthcare right now—especially in radiology. A recent Forbes article suggests the profession may be in a good spot to embrace the coming change.

Brain SPECT imaging may provide insight into depression outcomes

Single photon emission computed tomography (SPECT) imaging may identify who is likely to recover from depression and who might not, according to recent research published in the Journal of Alzheimer’s Disease.

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AI platform diagnoses prostate cancer as well as pathologists

A group of Chinese scientists and clinicians developed a learning artificial intelligence (AI) platform able to diagnose prostate cancer with the same accuracy as a human pathologist, according to a European Association of Urology press release.

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Examining the hype about AI, machine learning in medicine

Robert Pearl, MD, from Stanford University shared his thoughts about the gradual permeation of artificial intelligence (AI) into the culture and business of medicine in a recent editorial in Forbes. 

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AI could pose ethical concerns for those in healthcare

In a New England Journal of Medicine article published March 15, researchers at Stanford University raised concerns with the ethical implications of artificial intelligence’s (AI) ability to make healthcare decisions for patients.