NIH researchers have demonstrated the wide—potentially worldwide—applicability of a COVID-detecting AI system that was trained on chest CTs from four hospitals in three countries.

More than half of Americans, 54%, have seen doctors remotely during the COVID crisis. However, some 48% might not touch telehealth again if their data were to get hacked during a telehealth-related breach.

A free web tool known as “Chester the AI Radiology Assistant” can assess a person’s chest X-rays online within seconds, ensuring patients’ private medical data remains secure while predicting their likelihood of having 14 diseases.

Computerized clinical decision support has strong upsides and few to no downsides for both clinicians and patients, according to a systematic literature review. 

When a virus mutates, the researchers explained, it can be benign or even make the virus less dangerous to humans. In this instance, however, many detected mutations have a significant chance of becoming more infectious strains of COVID-19.

Researchers in Canada are working to develop AI models for diagnosing and treating mental illness. One application in their sights involves automated interpretations of brain scans.

Along with new or improved algorithmic applications for chest imaging, watch for word of an AI-powered breathalyzer and other diagnostic techno-weapons aimed at COVID. What they’ll all have in common is full-throated NIH support.

Researchers at New York University have demonstrated an AI-based way to send COVID patients from the ER to the most appropriate care setting according to their individualized risk.