Healthcare

A pretrained text-to-image generator enabled researchers to see — roughly — what other people looked at based on brain scans. Yu Takagi and Shinji Nishimoto developed a method that uses Stable Diffusion to reconstruct images viewed by test subjects...

Adults in the United States tend to view AI’s medical applications favorably but are leery of text and image generation. Pew Research Center polled 11,004 U.S. adults for their opinions of AI in science, healthcare, and media.

An experiment in using chatbots to dispense mental-health counseling raised questions about ethics.

A new report offers a rare peek into the use of automated decision-making tools by the government of a major city.

The United States paved the way to regulate AI systems in healthcare. The U.S. Food and Drug Administration (FDA) interpreted existing rules that govern health-related software to include some machine learning algorithms.

Neural Sleeve is intended to correct leg movements for people impacted by multiple sclerosis, cerebral palsy, spinal cord injury, and stroke.

People who suffer from gastrointestinal conditions such as irritable bowel syndrome are number two when it comes to describing the characteristics of their own poop.

AI startups are creating high value across a wide variety of industries. CB Insights, which tracks tech startups, published the latest edition of the AI 100, its annual list of 100 notable AI startups.

Hospitals are using robots to lighten the load on clinical staff. A number of U.S. hospitals are using Moxi, a robot from Diligent Robotics, to ferry supplies, lab specimens, soiled laundry, and other items.

Hospitals across the United States are relying on AI to keep patients safe. Doctors are using a variety of machine learning systems to assess the risk that a given patient will suffer complications.

The European Union approved for clinical use an AI system that recognizes normal chest X-rays. ChestLink is the first autonomous computer vision system to earn the European Economic Area’s CE mark for medical devices...

People with certain genetic disorders share common facial features. Doctors are using computer vision to identify such syndromes in children so they can get early treatment.

A report by the World Health Organization (WHO) warns that elders may not receive the full benefit of AI in healthcare. It highlights sources of bias in such systems and offers recommendations for building them.

There’s a reason why artificial intelligence is sometimes referred to as “software 2.0”: It represents the most significant technological advance in decades. Like any groundbreaking invention, it raises concerns about the future, and much of the media focus is on the threats it brings.

Things are really starting to get going in the field of AI. After many years (decades?!) of focusing on algorithms, the AI community is finally ready to accept the central role of data and the high-capacity models that are capable of taking advantage of this data.