Bara Vaida (@barav) is AHCJ's core topic leader on infectious diseases. An independent journalist, she has written extensively about health policy and infectious diseases. Her work has appeared in outlets that include the National Journal, Agence France-Presse, Bloomberg News, McClatchy News Service, MSNBC, NPR, Politico and The Washington Post.
Predicting whether a pathogen will have an impact on a few people or an entire population would be a huge achievement in global health security. Public health leaders would be able to determine the most effective response, whether it is expending resources on vaccination, or quarantining people in their homes, or just letting a disease run its course if it isn’t life threatening.
Researchers have turned to information technology to develop mathematical models that may predict the next infectious disease outbreak, but the models so far rely on data from past events to predict the future. Continue reading →
Rebecca Vesely is AHCJ's topic leader on health information technology and a freelance writer. She has written about health, science and medicine for AFP, the Bay Area News Group, Modern Healthcare, Wired, Scientific American online and many other news outlets.
Hospitals and health systems are jumping into artificial intelligence (AI) in an effort to help physicians better analyze images and other clinical data. But reporters should be careful about overstating the value that these new tools can bring to clinical decision-making.
Radiology is the medical specialty probably most associated with AI today because of the tantalizing possibility that computers could help radiologists read images more quickly, enabling earlier diagnoses and treatment.