Skip to main content Skip to main content
Go to homepage

Grand Rounds: Machine Learning in Pediatrics - Hype or Hope

01-14-2022

By Stephen Manu, MD , Akron Children's Hospital, Akron, OH

Heart Center

More about Stephen Manu, MD


Objectives (Educational Content) :

1. Provide a clear definition of the language surrounding machine learning and artificial intelligence. 2. Develop a basic understanding of machine learning and artificial intelligence. 3. Provide an overview of the current use of machine learning in the practice of pediatric medicine/pediatric cardiology. 4. Describe some of the current challenges of machine learning in medicine, particularly in pediatrics. 5. Describe the potential impact of machine learning in the future of pediatric medicine (Hype or Hope).

Target Audience:

General pediatricians, family physicians, nurse practitioners, physician assistants, social workers, psychologists, and nurses.

Identified Gap:

How machine learning will impact the practice of pediatric medicine in the future.

Estimated Time to Complete the Educational Activity:

1 hour(s)

Expiration Date for CE/CME Credit:

01-13-2023

Method of Participation in the Learning Process:

The learner will view the presentation, successfully complete a post-test and complete an activity evaluation.

Evaluation Methods:

All learners must successfully complete a post-test, as well as an activity evaluation, to claim CE/CME credit.

Disclosure:

Dr. Manu has indicated that there are no relevant financial or other relationships with any commercial interests and that this activity was developed independent of commercial interest.

Accreditation Statement:

Children’s Hospital Medical Center of Akron is accredited by the Ohio State Medical Association to provide continuing medical education for physicians.

CHMCA designates this enduring material activity for a maximum of 1.0 AMA PRA Category 1 Credit TM.  Physicians should only claim the credit commensurate with the extent of their participation in the activity.

Bibliography:

1. Shelmerdine SC, Rosendahl K, Arthurs OJ. Artificial intelligence in paediatric radiology: international survey of health care professionals’ opinions. Pediatr Radiol. 2022;52(1):30-41. Doi:10.1007/s00247-021-05195-5

2. Zhai H, Brady P, Li Q, et al. Developing and Evaluating a Machine Learning Based Algorithm to Predict the Need of Pediatric Intensive Care Unit Transfer for Newly Hospitalized Children. Resuscitation. 2014;85(8):1065-1071. doi:10.1016/j.resuscitation.2014.04.009

3. Karimi-Bidhendi S, Arafati A, Cheng AL, Wu Y, Kheradvar A, Jafarkhani H. Fully-automated deep-learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases. J Cardiovasc Magn Reson. 2020;22:80. doi:10.11886/s12968-02000678-0

4. Tang X, Kusmartseva I, Kulkami S, et al. Image-Based Machine Learning Algorithms for Disease Characterization in the Human Type 1 Diabetes Pancreas. The American Journal of Pathology. 2021;191(3):454-462. doi:10.1016/j.ajpath.2020.11-010

5. Garcia-Canadilla P, Sanchez-Martinez S, Crispi F, Bijnens B. Machine Learning in Fetal Cardiology: What to Expect. Fetal Diagn Ther. 2020;47(Suppl.5):363-372. doi:10.1159/000505021

6. Shmoish M, German A. Devir N, et al. Prediction of Adult Height by Machine Learning Technique. The Journal of Clinical Endocrinology & Metabolism. 2021;106(7):e2700-e2710. Doi:10.1210/clinem/dgab093

7. Laino ME, Ammirabile A, Posa A, et al. The applications of Artificial Intelligence in Chest Imaging of COVID-19 Patients: A Literature Review. Diagnostics (Basel). 2021;11(8):1317. Doi:10.3390/diagnostics11081317

8. Diller GP, Vahle J, radke R, et al. Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart disease. BMC Med Imaging. 2020;20:L113. Doi:10.1186/s12880-020-00511-1.

Summit Mall Play Area
Answer Key:
Click to expand
There are 10 nurses in the picture.

And we have many more pediatric primary care providers in Northeast Ohio. You can meet some of them here.
Summit Mall Play Area
Answer Key:
Click to expand
The five differences are:
– Phone color
– Coat pocket
– Stethoscope earpiece color
– Stethoscope bell dot
– Clipboard paper color

Need help finding a doctor, choosing a location or getting a general question about Akron Children's answered? Call us or fill out the form and we'll help in any way we can.
Summit Mall Play Area
Answer Key:
Click to expand
The two matching doctors are 9 and 14.

With virtual visits, you can see our pediatric experts from the comfort of home or wherever you are.
Summit Mall Play Area
Answer Key:
Click to expand
The correct path:
The Correct Path
We offer many ways to get pediatric care all over Northeast Ohio. Use this page to find the right kind of care and the most convenient location for you.