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AI

Image: Annual cost savings derived from the adoption of chatbots in healthcare could reach USD 3.6 billion globally by 2022 (Photo courtesy of iStock).

AI-Powered Chatbots Drive Global Savings of USD 3.6 Billion by 2022

Annual cost savings derived from the adoption of chatbots in healthcare could reach USD 3.6 billion globally by 2022, up from an estimated USD 2.8 million in 2017, marking an average growth of 320% per annum, as AI (artificial intelligence) powered chatbots will drive improved customer experiences for patients. Patients will be able to use sophisticated chatbot systems to access care more quickly and easily, thereby improving access to care and reducing pressure on overworked healthcare systems by ensuring more efficient interactions. More...
30 Oct 2017
Image: Royal Philips and Huawei Technologies have signed an MoU for the deployment of a cloud-based healthcare solution (Photo courtesy of iStock).

Philips and Huawei Initiate Cloud AI Healthcare Project

Royal Philips and Huawei Technologies Co., Ltd. have signed an MoU for the deployment of a cloud-based healthcare solution. The project targeting China’s smaller urban centers has already completed testing and aims to expand high-quality cloud-driven healthcare to communities that lack advanced healthcare solutions or physicians with specialist skills. More...
25 Oct 2017
NUVO
Image: Researchers have developed an artificial intelligence system that uses machine learning to predict if a high-risk lesion identified on needle biopsy after a mammogram will upgrade to cancer at surgery (Photo courtesy of iStock).

Using AI to Improve Early Breast Cancer Detection

Researchers from the Massachusetts Institute of Technology’s (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts General Hospital, and Harvard Medical School have collaborated to develop an artificial intelligence (AI) system that uses machine learning to predict if a high-risk lesion identified on needle biopsy after a mammogram will upgrade to cancer at surgery. More...
24 Oct 2017
Image: Researchers have developed the world’s first image-based decision support software for improving patient management and reducing unnecessary follow-up procedures (Photo courtesy of Shutterstock).

AI Software to Help Early Detection of Lung Cancer

A team of experts in lung cancer, machine learning and medical technology product development has come together to address a huge and growing problem in lung cancer diagnosis, the management of patients presenting with indeterminate pulmonary nodules. The researchers have developed the world’s first image-based decision support software for improving patient management and reducing unnecessary follow-up procedures. More...
24 Oct 2017
Image: The global healthcare artificial intelligence (AI) market is expected to reach USD 19.3 billion by 2025 (Photo courtesy of iStock).

Healthcare AI Market to Reach USD 19.3 Billion By 2025

The global healthcare artificial intelligence (AI) market will reach USD 19.3 billion by 2025, as medical image analysis, virtual assistants for patients, patient data processing, and 18 other key use cases will drive large deployments of AI in the healthcare industry. These are the latest findings of Tractica, a market intelligence firm that focuses on human interaction with technology. More...
28 Sep 2017
Mercury Medical
Image: Scientists used AI techniques and big data to develop an algorithm capable of recognizing the signatures of dementia two years before its onset, using a single amyloid PET scan of the brain (Photo courtesy of McGill University).

Artificial Intelligence Can Predict Dementia in Advance

Scientists from the Douglas Mental Health University Institute’s Translational Neuroimaging Laboratory at McGill University have used artificial intelligence techniques and big data to develop an algorithm capable of recognizing the signatures of dementia two years before its onset, using a single amyloid PET scan of the brain of patients at risk of developing Alzheimer’s disease. More...
07 Sep 2017
Image: Newly developed technology is designed to retrieve similar cases (Photo courtesy of Fujitsu).

AI Technology Retrieves Similar Cases in CT Database

Fujitsu Laboratories Ltd., in collaboration with Fujitsu R&D Center Co., Ltd., has developed an AI-based technology to retrieve similar cases of abnormal shadows expanding in a three-dimensional manner from a computed tomography (CT) database of previously taken images. The technology automatically separates the complex interior of the organ into areas through image analysis, and uses machine learning to recognize abnormal shadow candidates in each area. By dividing up the organ spatially into periphery, core, top, bottom, left and right, and focusing on the spread of the abnormal shadows in each area, it becomes possible to view things in the same way doctors do when determining similarities for diagnosis. More...
07 Sep 2017


 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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