What Artificial Intelligence Can See That We Can’t & How It’s Improving Medicine
By News
Published 4 years ago on
February 12, 2020
Share
[aggregation-styles]
NYU Langone Health
One day in 2017, computational biologist Aristotelis Tsirigos, PhD, strolled into the kitchen near his office in NYU Langone Health’s molecular pathology lab to grab a cup of coffee, and met a new faculty member. When Dr. Tsirigos introduced himself as director of clinical informatics, his new colleague, Narges Razavian, PhD, perked up. She was also a computer scientist, albeit one with a slightly different focus.
While Dr. Tsirigos was applying genomic data to uncover some of the complex cellular processes underlying disease, Dr. Razavian, assistant professor of population health and of radiology, was experimenting with ways to use artificial intelligence, or AI, in the clinic as a diagnostic tool.
But like most researchers at the intersection of AI and medicine, her big challenge was finding enough patient data to properly train her software to recognize the telltale markers of pathology. As it happened, pulling together large databases of patient data was one of Dr. Tsirigos’s specialties—and so a fruitful partnership was born.
Read More →
NYU Langone Health
One day in 2017, computational biologist Aristotelis Tsirigos, PhD, strolled into the kitchen near his office in NYU Langone Health’s molecular pathology lab to grab a cup of coffee, and met a new faculty member. When Dr. Tsirigos introduced himself as director of clinical informatics, his new colleague, Narges Razavian, PhD, perked up. She was also a computer scientist, albeit one with a slightly different focus.
While Dr. Tsirigos was applying genomic data to uncover some of the complex cellular processes underlying disease, Dr. Razavian, assistant professor of population health and of radiology, was experimenting with ways to use artificial intelligence, or AI, in the clinic as a diagnostic tool.
But like most researchers at the intersection of AI and medicine, her big challenge was finding enough patient data to properly train her software to recognize the telltale markers of pathology. As it happened, pulling together large databases of patient data was one of Dr. Tsirigos’s specialties—and so a fruitful partnership was born.
Read More →
In this article: Aristotelis Tsirigos, PhD; Narges Razavian, PhD; Daniel K. Sodickson, MD, PhD; Leora Horwitz, MD
RELATED TOPICS:
Israel Briefs US on Evacuation Plan for Palestinians Ahead of Planned Rafah Assault
World /
9 hours ago
Canadian Police Make 3 Arrests in Sikh Separatist’s Slaying That Sparked a Spat with India
World /
10 hours ago
Three Arrested for Trespassing, Posting Flyers at Fresno Synagogue and Church
Crime /
10 hours ago
Heavy Rains Over Texas Have Led to Water Rescues, School Cancellations and Orders to Evacuate
Weather /
13 hours ago
Google, Justice Department Make Final Arguments About Whether Search Engine is a Monopoly
Business /
13 hours ago
Anchovy Feast Draws the Most Sea Lions to SF’s Fisherman’s Wharf in 15 Years
Animals /
13 hours ago
Captain Sentenced to 4 Years for Criminal Negligence in Fiery Deaths of 34 Aboard Scuba Boat
Crime /
14 hours ago
Categories
Latest
Videos
Local /
9 hours ago
Gov. Newsom Appoints Judges for Fresno, Merced Counties
World /
9 hours ago
Israel Briefs US on Evacuation Plan for Palestinians Ahead of Planned Rafah Assault
World /
10 hours ago
Canadian Police Make 3 Arrests in Sikh Separatist’s Slaying That Sparked a Spat with India
Crime /
10 hours ago