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Artificial Intelligence

Fewer Pathologists and More Cancer Patients Drive Pathology Market

The global digital pathology market was worth USD 381.8 million in 2016 and is projected to grow at a CAGR of 13.2% to reach USD 708.9 million by 2021, driven by the increased adoption of digital pathology solutions worldwide due to shortage of pathologists and rise in new cancer cases. Additionally, new business models and increased FDA approvals of Whole Slide Image (WSI) scanners for primary diagnostics are expected to provide a boost to the digital pathology market. More...
02 Jan 2018
Image: The gap between AI and humans is expected to be bridged in 2018 through a collaboration of humans and machines (Photo courtesy of Techora).

Human-Machine Collaboration to Redefine Healthcare Market in 2018

Human-machine collaboration will bridge the gap between artificial intelligence (AI) and humans in 2018, leaving aside the man versus machine competition. Non-traditional players such as Amazon, Apple, Google, and IBM will start having a tangible impact on the healthcare ecosystem. Competing outside their conventional arena, these organizations are pushing traditional healthcare companies to break their main business model and make healthcare more accessible, affordable, and consumer-centric. More...
26 Dec 2017
Image: The Nvidia Quadro GPU will bring AI to medical imaging devices (Photo courtesy of GE Healthcare).

AI Platform Upgrades CT, Ultrasound, and Analytics Solutions

GE Healthcare and Nvidia have announced a series of imaging equipment advances to be powered by Nvidia’s artificial intelligence (AI) computing platform. More...
25 Dec 2017

AI Outperforms Pathologists in Diagnosing Breast Cancer

A study comparing the ability of Artificial Intelligence (AI) algorithms with expert pathologists in detecting metastatic breast cancer in whole-slide images found that the machine learning outperformed the pathologists. The results of the study published in the Journal of the American Medical Association suggests that deep learning algorithms have the ability to improve diagnosis and could be used to help clinicians detect cancer in the clinic. More...
20 Dec 2017
Image: A new research collaboration aims to improve breast cancer diagnosis using AI (Photo courtesy of Imperial College London).

New Project Studies If AI Can Improve Breast Cancer Detection

A new project by a consortium of leading breast cancer experts, clinicians and academics, and leaders in artificial intelligence (AI) research will explore whether AI can help detect and diagnose breast cancers more effectively. The consortium, led by Imperial College London and based at the Cancer Research UK Imperial Centre, will explore how AI can improve breast screening for more accurate detection of cancers. More...
20 Dec 2017

AI Predicts Risk of Readmission for Heart Failure Patients

Hitachi, Ltd. and Partners Connected Health have collaborated to develop artificial intelligence (AI) technology, which can very accurately predict the risk of hospital readmissions within 30 days among patients with heart failure. The AI technology helps choose appropriate patients to participate in a readmission prevention program after hospital discharge and provides an explanation as to why the patients have been identified as high risk ones. More...
19 Dec 2017
Image: TeraRecon has entered into a distribution partnership with EnvoyAI to sell and market the EnvoyAI platform (Photo courtesy of TeraRecon).

TeraRecon to Sell EnvoyAI Platform

TeraRecon, a provider of advanced visualization solutions, has entered into a distribution partnership with EnvoyAI to sell and market the EnvoyAI platform. The platform includes a content-rich artificial intelligence (AI) marketplace, called the EnvoyAI Exchange, as well as a suite of market-ready AI-enablement technologies aimed at fostering broader access and clinical use of medical imaging algorithms within busy radiology practices. More...
12 Dec 2017
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 The Artificial Intelligence channel of HospiMedica keeps the reader informed about the latest news in AI-based clinical decision making, Medical knowledge engineering, Intelligent medical information systems and additional related fields.
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