On Monday, the Mount Sinai healthcare system announced a novel center of artificial intelligence in the health of children who will examine novel ways of developing, testing and setting AI directly in pediatric healthcare to enable prior diagnosis, preventive approaches and personalized treatment plans.
Why does it matter
To speed up AI research and personalized treatment in children’s health, Mount Sinai said that he would create integrated data infrastructure and develop multimodal AI research and apply computer imaging, multiple research, scarce identification of diseases and pharmacogenomics to augment health economics and provide care.
“While AI was promoted at an unusual pace in many areas of medicine, pediatric medicine unfortunately delayed due to more severe considerations regarding privacy, more complex regulatory paths and limited data infrastructure,” said Benjamin Glicksberg, an expert on digital and clinical health, in a statement.
Glicksberg, who will also act as a professor of artificial intelligence and human health in Icahn School of Medicine on Mount Sinai, will lead the center. He will focus on enabling the healthcare system to offer more precise diagnostics and personalized methods of treating youthful patients, according to Dr. Brendan Carr, the headmaster of Mount Sinai and the outstanding chairman Kenneth L. Davis.
The center, established in the Mindich Child Health and Development Institute, will also conduct clinical trials at the Mount Sinai Kravis Children’s Hospital in order to augment AI -based diagnostics, predictive modeling and real -time monitoring.
“The Center for Artificial Intelligence in Children’s Health emphasizes Mount Sinai’s commitment to pioneering technologies driven by AI, which will allow Mount Sinai to provide world-class care for our children,” Carr said in a statement.
“Our children are our future, and under the leadership of Dr. Glicksberg, the center of AI in the health of children will develop children’s health results for future generations,” Dr. Girish Nadkarnia, the Department of Artificial Intelligence and the Human Health Chair, which cooperates the novel center.
Greater trend
Health care systems apply AI imaging tools to improve patient access and treatment and to predict diseases.
Pediatric researchers at the Children’s Hospital in Philadelphia have developed deep learning to improve their understanding of the progression of the disease and made AI available for others to analyze cancer.
The model can learn patterns and make forecasts or classify faster than previous approaches, say scientists Chop.
“The approach can re -define the way we understand complex tissues at the cellular level, paving the way to transformational breakthroughs in healthcare,” said Kai Tan in December, the main author of the study and a professor at the Pediatrics Department at Chop.
On the plate
“This new center is devoted to solving these challenges by safe development, testing and deposition of AI directly in healthcare of children-recover, preventive measures, preventive measures, computer imaging in complex conditions, accelerated drug discovery and highly personalized treatment plans,” said Glicksberg in the statement.
“Using the strength of advanced data and clinical knowledge, we try to introduce a new era of children’s health care – providing faster diagnoses, personalized treatment and transformation results” – added Nadkarnia.