By 2050 almost one-in-four humans will be aged 60 years and older, double today’s share. Moreover, the number of people aged 80 years and older will quadruple. This demographic shift is opening new vistas for AI technologies in elders’ daily healthcare management, and as a useful tool for healthcare professionals and institutions treating seniors.
Google has achieved a milestone in machine learning research that will boost the company’s broader ambitions in healthcare. In a paper published today in Nature Medicine, Google researchers present an end-to-end deep learning model that can predict lung cancer comparably or better than human radiologists.
Last December Synced compiled its first “Artificial Intelligence Failures” recap of AI gaffes from the previous year. AI has achieved remarkable progress, and many scientists dream of creating the Master Algorithm proposed by Pedro Domingos — which can solve all problems envisioned by humans.
Chinese tech giant Tencent’s first attempt in AI healthcare was the Miying platform, which has been a point of pride for CEO Huateng Ma since its 2017 launch. Supported by AI-powered medical imaging technologies, Miying assists doctors with the screening of esophageal cancer, pulmonary nodules, cervical cancer, etc. The platform has been well received in the AI and medical communities, with a fast-expanding market in Chinese top-tier AAA hospitals.
Facebook AI Research (FAIR) and the New York University (NYU) School of Medicine’s Center for Advanced Imaging Innovation and Research (CAI2R) announced today they are sharing a standardized set of AI tools and baselines and MRI data as part of their joint research project fastMRI.
Japanese global trading giant Mitsui & Co. and leading deep learning startup Preferred Networks (PFN) have announced a joint venture in the US to provide Biomedical/Healthcare Solutions, including Cancer Diagnostic Services, based on deep learning technology.