<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Krisberg, Kim</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">AI tools offer promise for public health — when used ethically</style></title><secondary-title><style face="normal" font="default" size="100%">The Nation's Health</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2024</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2024-04-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">1-10</style></pages><volume><style face="normal" font="default" size="100%">54</style></volume><issue><style face="normal" font="default" size="100%">2</style></issue><abstract><style  face="normal" font="default" size="100%">Public health workers have been using computers to sort through large datasets for disease patterns and early warning signals for decades. But new artificial intelligence tools could supercharge that ability, uncovering patterns faster and more accurately.</style></abstract></record></records></xml>