Artificial intelligence in the diagnosis of necrotising enterocolitis in newborns

Sitek, Arkadiusz; Seliga‐Siwecka, Joanna; Płotka, Szymon; Grzeszczyk, Michał K.; Seliga, Szymon; Włodarczyk, Krzysztof; Bokiniec, Renata

doi:10.1038/s41390-022-02322-2

Cited by 7 publications

(5 citation statements)

References 42 publications

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“…Recent improvements in ultrasound technology as a modality for NEC diagnosis are exciting (29,30), as pathognomonic radiological ndings such as pneumatosis intestinalis were visualized more accurately with ultrasound than with X-rays (31). Future directions toward utilizing machine learning and arti cial intelligence might augment the clinical capabilities for accurate and timely diagnosis of necrotizing enterocolitis (32).…”

Section: Discussionmentioning

confidence: 99%

Blood Absolute Monocyte Count Trends in Preterm Infant with Suspected Necrotizing Enterocolitis, an Adjunct Tool for Diagnosis?

Meghan,

Mikhael,

Shafer

et al. 2024

Preprint

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Objective We investigated the trends of blood absolute monocyte count (AMC) over 72 hours after suspecting necrotizing enterocolitis (NEC). Study Design A single center, retrospective study, the AMC was plotted over 72 hours after NEC evaluation. Receiver operating characteristic (ROC) curve analysis assessed change in AMC to identify absence of NEC and different NEC stages. Results In 130 infants, the AMC decreased in patients with NEC stage 2 or 3. Stages 2 and 3 NEC experienced a drop in AMC compared to an increase in no NEC, Stage 1, or positive culture (p<0.05). AMC increase 24% or less can differentiate NEC stage 2/3 from stage 1 with an area under the curve (AUC) of 0.78. There wasn’t statistical difference between any NEC and no NEC (AUC, 0.57). Discussion/Conclusions A decrease in AMC can be an adjunct biomarker to identify NEC stage 2 and 3, when compared to no NEC/stage 1.

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Section: Discussionmentioning

confidence: 99%

Blood Absolute Monocyte Count Trends in Preterm Infant with Suspected Necrotizing Enterocolitis, an Adjunct Tool for Diagnosis?

Meghan,

Mikhael,

Shafer

et al. 2024

Preprint

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“…We aimed to eliminate this diagnostic timing variability across events by only observing delays after the decision was made by the evidence of documented order times. Future studies could attempt to incorporate diagnostic delays in the model for rapid treatment by studying patient vital sign data with machine learning or including emerging early-detection tools such as abdominal electro-gastrography [34,35].…”

Section: Discussionmentioning

confidence: 99%

Impact of Delayed Time to Antibiotics in Medical and Surgical Necrotizing Enterocolitis

et al. 2023

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This study investigated whether delayed receipt of antibiotics in infants with necrotizing enterocolitis (NEC) is associated with disease severity. In this retrospective, single-center cohort study of infants diagnosed with NEC over 4 years, we compared the timing of antibiotic administration in infants (time order placed to time of receipt) in medical and surgical NEC. Cases were independently reviewed, then various clinical factors were compared. Of 46 suspected cases, 25 were confirmed by a panel of radiologists with good interrater reliability (ICC 0.657; p < 0.001). Delays in antibiotic receipt were 1.7× greater in surgical than medical NEC cases (p = 0.049). Every hour after order entry increased the adjusted odds of surgical NEC by 2.4 (1.08–5.23; p = 0.032). Delayed antibiotic receipt was more common in infants with surgical than medical NEC. Larger studies will be needed to investigate if optimizing antibiotic expediency could improve intestinal outcomes.

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“…While many use AI and ML interchangeably, there is a distinction between the two. AI describes a machine/ computer using math and logic to learn and problem solve similarly to how a human brain functions, which can be done with or without the use of ML (39)(40)(41)(42)(43). While ML, a subset of AI, is the use of mathematical modeling and algorithms which learn and improve without explicit instruction as more data is provided (39)(40)(41)(42)(43).…”

Section: Artificial Intelligence and Machine Learning In Healthcarementioning

confidence: 99%

“…AI describes a machine/ computer using math and logic to learn and problem solve similarly to how a human brain functions, which can be done with or without the use of ML (39)(40)(41)(42)(43). While ML, a subset of AI, is the use of mathematical modeling and algorithms which learn and improve without explicit instruction as more data is provided (39)(40)(41)(42)(43). To put more simply, ML is just one application of AI, but other types of AI also exist such as limited memory AI, which is used for the development of chatbots or giving cars the ability to drive autonomously (39)(40)(41)(42)(43).…”

Section: Artificial Intelligence and Machine Learning In Healthcarementioning

confidence: 99%

State of the art review on machine learning and artificial intelligence in the study of neonatal necrotizing enterocolitis

McElroy

Lueschow

2023

Front. Pediatr.

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Necrotizing Enterocolitis (NEC) is one of the leading causes of gastrointestinal emergency in preterm infants. Although NEC was formally described in the 1960's, there is still difficulty in diagnosis and ultimately treatment for NEC due in part to the multifactorial nature of the disease. Artificial intelligence (AI) and machine learning (ML) techniques have been applied by healthcare researchers over the past 30 years to better understand various diseases. Specifically, NEC researchers have used AI and ML to predict NEC diagnosis, NEC prognosis, discover biomarkers, and evaluate treatment strategies. In this review, we discuss AI and ML techniques, the current literature that has applied AI and ML to NEC, and some of the limitations in the field.

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Artificial intelligence in the diagnosis of necrotising enterocolitis in newborns

Cited by 7 publications

References 42 publications

Blood Absolute Monocyte Count Trends in Preterm Infant with Suspected Necrotizing Enterocolitis, an Adjunct Tool for Diagnosis?

Blood Absolute Monocyte Count Trends in Preterm Infant with Suspected Necrotizing Enterocolitis, an Adjunct Tool for Diagnosis?

Impact of Delayed Time to Antibiotics in Medical and Surgical Necrotizing Enterocolitis

State of the art review on machine learning and artificial intelligence in the study of neonatal necrotizing enterocolitis

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