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Can Artificial Intelligence (AI) Improve Access to Social Resources for Better Patient Outcomes?
 Can Artificial Intelligence (AI) Improve Access to Social Resources for Better Patient Outcomes? 1024 540 Pam Georgiana
By: Pam Georgiana

A recent study tests the ability of the DAPHNE© Chatbot to do just that. Health care providers and organizations recognize the impact of social factors on health and are increasingly addressing social determinants to improve health outcomes and equity. However, integrating social care into health practices remains challenging due to structural barriers such as staffing,…

Demystifying Machine Learning With AutoML
 Demystifying Machine Learning With AutoML 1024 683 Abbie Miller
By: 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…

Featured Researcher: Henry Xiang, MD, MPH, PhD, MBA
 Featured Researcher: Henry Xiang, MD, MPH, PhD, MBA 150 150 Alaina Doklovic
By: Alaina Doklovic

Dr. Henry Xiang is the founding Director of the Center for Pediatric Trauma Research of the Abigail Wexner Research Institute at Nationwide Children’s Hospital. He is also a tenured full professor at the Ohio State University College of Medicine. Dr. Xiang directs the Pilot Translational and Clinical Studies Program at the NIH-funded Ohio State University…

Enhancing Intestinal Rehabilitation Workflow with Disease-Specific Documentation Tools
 Enhancing Intestinal Rehabilitation Workflow with Disease-Specific Documentation Tools 150 150 Erin Gregory
By: Erin Gregory

Structured data entry not only reduces the amount of time physicians are spending in the electronic health record but also opens the door for new research. A recent study published in JAMA Pediatrics by Nationwide Children’s Hospital’s Ethan Mezoff, MD, Jennifer Lee, MD, and team has shed light on a promising solution to improve the…

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
By: 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
By: 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
By: 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
By: 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…