Collaborating Authors


World--s First AI Health Guidance App in Swahili Launched by Ada Health


The first artificial intelligence-based (--AI--) symptom-assessment application to be made available in Swahili has been launched today, unlocking access to health information and advice for more than 100 million people seeking healthcare in East Africa.-- The app, developed by Ada Health, combines a world-class medical knowledge database with intelligent reasoning technology to help users understand what might be causing their symptoms, as well as providing localized guidance about what they should do next. In doing so, the app aims to empower patients to make informed decisions about their own health, while also complementing and supporting existing healthcare services, doctors and clinics.-- Globally, four billion people - more than half the world--s population - lack access to basic health services, with the disadvantages of this global health challenge often disproportionately experienced by people in low- and middle-income countries. East Africa is a region that is acutely affected by this issue.

Large expert-curated database for benchmarking document similarity detection in biomedical literature search


Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations.

A Smart Stethoscope Puts AI in Medics' Ears

IEEE Spectrum Robotics

You wake up one morning to discover that your child is ill: His forehead feels hot to the touch, and his rapid breathing has a wheezing sound. You live in Malawi, where your health care options are few. When the local clinic opens, you wait for your turn with the solitary clinic worker. She's not a doctor, but she's been trained to identify and handle routine problems. She puts on a stethoscope and presses its chest piece against your son's front and back to carefully listen to his lungs.