Artificial Intelligence

Demystifying Machine Learning With AutoML
Demystifying Machine Learning With AutoML 1024 683 Abbie Miller

A Nationwide Children’s Hospital team from the Office of Data Sciences recently won the Advanced ML tier in the precisionFDA Automated Machine Learning (AutoML) App-a-thon Challenge: Democratizing and Demystifying Artificial Intelligence (AI). Each year, the FDA hosts challenges centered around data science and bioinformatics. This year, the challenge focuses on AutoML, a low-code ML technique…

New Frontiers for Data Science in Pediatric Research
New Frontiers for Data Science in Pediatric Research 1024 577 Peter White, PhD

From discovery science to population health, researchers generate masses of data that hold immense potential to transform pediatric research, diagnostics, treatments and even guide disease prevention strategies. To make sense of this data deluge, we’ve been harnessing the power of cloud computing and cutting-edge data science techniques, such as artificial intelligence (AI), machine learning (ML)…

Meet Daphne©, a ChatBot for Pediatric Health Care
Meet Daphne©, a ChatBot for Pediatric Health Care 150 150 Madison Storm

Machine learning and artificial intelligence (AI)have exploded across the worlds of marketing and commerce in recent years. At Nationwide Children’s, clinicians and researchers are focusing on how AI and related technologies can be used to reduce clinician workloads and improve patient outcomes. Emre Sezgin, PhD, principal investigator in the Center for Biobehavioral Health at Nationwide…

How Language-Processing Technology Could Transform Medical Practice, Research and Patient Participation
How Language-Processing Technology Could Transform Medical Practice, Research and Patient Participation 150 150 Katie Brind'Amour, PhD, MS, CHES

Recent revolutions in researchers’ ability to process natural language sources, such as clinic visit notes, transcripts or medical diaries, could dramatically expand opportunities to improve health care and prevention health outreach.   Natural Language Processing (NLP) is a subfield of computer science and artificial intelligence that deals with the interaction between computers and human language.…

Beyond the Wow Factor: Artificial Intelligence in Pediatrics
Beyond the Wow Factor: Artificial Intelligence in Pediatrics 1024 576 Katie Brind'Amour, PhD, MS, CHES

What promise do AI and machine learning hold for pediatrics, and how can their potential flourish while still safeguarding children’s health and privacy? Machine learning (ML) and artificial intelligence (AI) have exploded across the worlds of marketing and commerce in recent years. Streaming services track what you watch and suggest other content you may enjoy.…

Using Machine Learning in the Electronic Medical Record to Save Lives
Using Machine Learning in the Electronic Medical Record to Save Lives 1024 683 Abbie Miller
physicians in white coats looking at a tablet

The deterioration risk index identifies patients at risk for deterioration and poor outcomes, triggering the care team to act before a crisis happens. In a report published in Pediatric Critical Care Medicine, a team from Nationwide Children’s Hospital describes a machine learning tool for timely identification of hospitalized children at risk for deterioration – a…

How Can We Ensure Use of Artificial Intelligence in Pediatric Medicine Is Ethical?
How Can We Ensure Use of Artificial Intelligence in Pediatric Medicine Is Ethical? 915 341 Jessica Nye, PhD

Team diversity, data contextual factors, and transparency are key factors for the ethical use of artificial intelligence (AI) in pediatric medicine. AI has been increasingly used in medicine to help clinicians predict patient risk and make treatment decisions. A discussion about the ethical translation of AI into pediatric medicine was published as a comment in…