This post was authored by Steve Tokar with UCSF News.
In order for COVID-19 contact tracing to be effective in the United States, public health and government leaders must overcome deep ideological and cultural resistance among the public and deal with the ethical and technological challenges of using contact tracing apps, according to an analysis by Bernard Lo, MD, professor of medicine emeritus and director emeritus of the program in medical ethics at UC San Francisco, and Ida Sim, MD, PhD, a UCSF professor of medicine.
The analysis, published Oct. 19 in Annals of Internal Medicine, presents an ethical framework to help policymakers implement successful contact tracing measures that balance the protection of public health against respect for personal privacy.
“Neither digital nor manual contact tracing will be widely accepted unless our leaders do four things,” said Lo, corresponding author of the new paper. “First, listen to the concerns that different communities have regarding contact tracing; second, engage these communities and address their concerns to rebuild trust; third, make timely access to COVID testing and return of results widely available; and fourth, articulate clear and consistent evidence-based messages on the benefits of placing some restrictions on liberty in order to promote the common good.”
Lo noted that manual...
This post was authored by Elizabeth Fernandez, senior public information representative with UCSF News.
UC San Francisco is launching a new center to accelerate the application of artificial intelligence (AI) technology to radiology, leveraging advanced computational techniques and industry collaborations to improve patient diagnoses and care.
The Center for Intelligent Imaging, or ci2, will develop and apply AI to devise powerful new ways to look inside the body and to evaluate health and disease. Investigators in ci2 will team with Santa Clara, California-based NVIDIA Corp., an industry leader in AI computing, to build infrastructure and tools focused on enabling the translation of AI into clinical practice.
Christopher Hess, MD, PhD, chair of the UCSF Department of Radiology and Biomedical Imaging.
"Artificial intelligence represents the next frontier for diagnostic medicine," said Christopher Hess, MD, PhD, chair of the UCSF Department of Radiology and Biomedical Imaging. "It is poised to revolutionize the way in which imaging is performed, interpreted and used to direct care for patients.
"The Center for Intelligent Imaging will serve as a hub for the multidisciplinary development...