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02 Jun 2026 - 04 Jun 2026
17 Jun 2026 - 19 Jun 2026

Artificial Intelligence

Blood Test Uses AI to Detect Peripheral Artery Disease

Researchers from the Massachusetts General Hospital and Prevencio, Inc. have developed a simple new blood test which accurately diagnoses significant Peripheral Artery Disease (PAD), a circulatory problem in which plaque-narrowed arteries reduce blood flow to a patient’s limbs and kidneys. According to the data presented at American Heart Association 2017 Scientific Sessions, the test could be used as a gatekeeper to imaging or invasive testing, thereby reducing cost and exposures to intravenous contrast and/or ionizing radiation. More...
20 Nov 2017

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

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

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

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

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
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
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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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