AI Tool Boosts Diagnosis Accuracy of Ear Infections in Children, Study Finds

By Tarun Sai LomteMar 6 2024Reviewed by Lily Ramsey, LLM In a recent study published in JAMA Pediatrics, researchers developed and validated an automated classifier for diagnosing acute otitis media in children.

Several studies have leveraged deep learning for training neural networks to detect AOM and other ear-related conditions, albeit with limited clinical application. An endoscope or otoscope connected to the smartphone was used to capture videos of children’s TMs. Two otoscopists reviewed the videos and assigned a diagnosis.

Additionally, a decision tree model was developed as an alternative to examine if the results would be different; this used DR-RNN model-predicted TM features. A receiver operating characteristic curve was generated for the DR-RNN model by plotting true and false positive results at different probability thresholds. ROC was not plotted for the DT model as it was not probabilistic.

The corresponding figures for the DT model were 93.7% and 93.3% respectively. For the DR-RNN model, the area under the ROC was 0.973.

Ai Ai Latest News, Ai Ai Headlines

Similar News:You can also read news stories similar to this one that we have collected from other news sources.

Researchers create machine learning-based classifier that could aid early diagnosis of psychosisThe onset of psychosis can be predicted before it occurs, using a machine-learning tool which can classify MRI brain scans into those who are healthy and those at risk of a psychotic episode.
Source: medical_xpress - 🏆 101. / 51 Read more »