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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7 factors that will push implementation of AI in healthcare

The adoption of artificial intelligence (AI) and deep learning in healthcare is becoming increasingly popular and it's being propelled by seven distinct factors, according to one of two partnering editorials published online in JAMA.

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AI market in healthcare expected to surpass $34B by 2025

Total revenue for artificial intelligence (AI) in the healthcare market is expected to surpass $34 billion by 2025, according to report by Tractica.

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IBM proposes safeguard document to increase trust in AI

Researchers from IBM recently proposed a new safeguard designed to increase transparency and trust in artificial intelligence (AI), according to research published on the company’s website.

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New '5D' imaging system may soon find applications in healthcare

Medical imaging may reach a higher dimension with the development of a compact hyperspectral imaging system able to measure an object’s shape and light reflection properties through so-called "5D," high-speed imaging.

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Photoacoustic tomography probe aims to tackle common, costly diseases

Researchers at Purdue University in West Lafayette, Indiana, are creating a photoacoustic tomography probe that combines optical and ultrasound techniques to improve diagnosis of common and costly diseases.

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FDA-approved AI diabetic retinopathy system able to make diagnoses in 20 seconds

Research detailing the first FDA-approved artificial intelligence (AI) system to autonomously detect diabetic retinopathy was published Aug. 28 in Nature Digital Medicine.

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Fujifilm, Indiana University team up to study AI, develop new imaging technology

Fujifilm Corporation and the Indiana University School of Medicine in Indianapolis have announced a new research agreement that will focus on applying artificial intelligence (AI) to medical imaging diagnostic support systems.

Fujifilm enters joint research agreement with Indiana University School of Medicine

FUJIFILM Corporation entered a joint research agreement with Indiana University School of Medicine (Indianapolis, Indiana USA), a leading advanced medical institute in the United States, to develop the application of artificial intelligence (AI) in medical imaging diagnostic support systems, starting today.