From ant-man to the Incredible Shrinking Machine, society has long envisioned developing devices tiny enough to enter human cells. Such nanotechnology could revolutionize the diagnosis of diseases like cancer and neurodegeneration, span new methods o...
We are in the midst of a demographic phenomenon known as the graying of society. In more affluent countries, the population is aging. According to the U.S. Census Bureau, the number of Americans aged 65 and older is projected to more than double by 2...
A tiny cockroach no bigger than a large paper clip scurries across the floor of my bio-engineering lab at the University of Connecticut, Mansfield, CT, USA. It is a robot-roach hybrid, a hardwired biological insect, a cyborg if you will, and its futu...
Say hello to molly, Florence, and Ada-they're just a few of the helpful, smart algorithm powered chatbots taking their place in health care. Chatbots are computer programs designed to carry on a dialogue with people, assisting them via text messages,...
Scientists striving for impact in their fields and to develop their own careers must publish papers that represent new and important science, typically in a peer-reviewed journal. The number of scientific articles published has doubled every nine yea...
After working at Apple designing circuits and signal processing algorithms for products including the first iPad, Timnit Gebru (Figure 1) received her Ph.D. from the Stanford Artificial Intelligence Laboratory in the area of computer vision. She rece...
For Ashley Zappia (Figure 1), getting her hands dirty was part of her job. Even though she always tried to remain as clean as possible, her work as a nursing aide at a Southern California hospital required a lot of diapering, changing, and other hand...
One of the major challenges currently facing researchers in applying deep learning (DL) models to medical image analysis is the limited amount of annotated data. Collecting such ground-truth annotations requires domain knowledge, cost, and time, maki...
Recent bold, eye-catching headline predictions made by nonradiologists, e.g., "in a few years, radiology will disappear" and "stop training radiologists now," are not only far from reality but also irresponsible and a disservice to the appropriate im...