Category: Healthcare & MedTech

In our last blog post, we took a deep dive into how artificial intelligence (AI) and machine learning (ML) help healthcare organizations engage patients more efficiently. Not only does using AI help lower patient engagement costs, but it also improves communication between patients and organizations, assists with patient follow-up, and frees resources for more value-added tasks.…

Big data, artificial intelligence (AI) and machine learning (ML) are already impacting healthcare in numerous ways – from diagnostics to treatment, to everyday administrative processes, including scheduling or tracking regulatory compliance. But perhaps the most noticeable, at least for patients, is how AI is helping to revolutionize patient engagement and adherence. Patient engagement has been…

Medical images such as computed tomography (CT), magnetic resonance imaging (MRI), mammograms, X-Ray types such as fluoroscopy and angiography, and ultrasounds are a valuable trove of potentially life-saving data for healthcare researchers, providers, and their patients.  But these kinds of images also present unique challenges that have traditionally limited radiologists’ effectiveness in diagnosing and treating…

On Dec. 30 of last year, Healthmap, an artificial intelligence (AI)-driven data mining system that scans disparate data sources for signs of disease outbreaks, spotted unusual activity about a new type of pneumonia cropping up in China. One day later, AI outbreak risk software solution BlueDot began sounding a similar alarm after scanning thousands of…

Continuing on the subject of healthcare, the demand for annotating and retrieving medical images is growing faster than ever. CapeStart has been serving this sector with image annotation. Our medical imaging technicians work with x-ray, magnetic resonance imaging (MRI), and computed tomography (CT) images by annotating, contouring, segmenting, lesion detection and scoring, and more. Medical…