Much of the AI work in healthcare is focused around disease prediction in clinical settings,
which is an important application that has yet to deliver in earnest. However, there are other …

In January 2016 the US National Library of Medicine announced a challenge competition
calling for the development and discovery of high-quality algorithms and software that rank …

Pill image recognition is vital for many personal/public health-care applications and should
be robust to diverse unconstrained real-world conditions. Most existing pill recognition …

Objective Oral pills, including tablets and capsules, are one of the most popular
pharmaceutical dosage forms available. Compared to other dosage forms, such as liquid …

Near-infrared spectroscopy (NIRS) measures the light reflected from objects to infer highly
detailed information about their molecular composition. Traditionally, NIRS has been an …

A vision-based measurement approach for pill shape detection is presented along with other
applications. Rapid and accurate pill identification is needed by medical and law …

Currently, Japan is facing an aging society. A larger number of the elderly choose to live in
nursing homes, causing the shortage of human resources there. Dispensing medicines is a …

Long-term adherence to medication is of critical importance for the successful management
of chronic diseases. Objective tools to track oral medication adherence are either lacking …

Prescription dispensing accuracy is of paramount importance for all hospitals. However,
human errors are inevitable due to multiple reasons, such as fatigue, stress, heavy …

This paper proposes a novel take on the task of medicine box recognition using a three-
staged approach. We present the algorithms that will be used for each stage: barcode …