We collect cookies to analyze our website traffic and performance; we never collect any personal data. Cookie Policy
Accept
NEW YORK DAWN™NEW YORK DAWN™NEW YORK DAWN™
Notification Show More
Font ResizerAa
  • Home
  • Trending
  • New York
  • World
  • Politics
  • Business
    • Business
    • Economy
    • Real Estate
  • Crypto & NFTs
  • Tech
  • Lifestyle
    • Lifestyle
    • Food
    • Travel
    • Fashion
    • Art
  • Health
  • Sports
  • Entertainment
Reading: AI software analyzes placentas at delivery for quicker detection of neonatal and maternal issues
Share
Font ResizerAa
NEW YORK DAWN™NEW YORK DAWN™
Search
  • Home
  • Trending
  • New York
  • World
  • Politics
  • Business
    • Business
    • Economy
    • Real Estate
  • Crypto & NFTs
  • Tech
  • Lifestyle
    • Lifestyle
    • Food
    • Travel
    • Fashion
    • Art
  • Health
  • Sports
  • Entertainment
Follow US
NEW YORK DAWN™ > Blog > Health > AI software analyzes placentas at delivery for quicker detection of neonatal and maternal issues
AI software analyzes placentas at delivery for quicker detection of neonatal and maternal issues
Health

AI software analyzes placentas at delivery for quicker detection of neonatal and maternal issues

Last updated: December 14, 2024 3:35 am
Editorial Board Published December 14, 2024
Share
SHARE

Graphical summary. Credit score: Patterns (2024). DOI: 10.1016/j.patter.2024.101097

A newly developed software that harnesses laptop imaginative and prescient and synthetic intelligence (AI) might assist clinicians quickly consider placentas at delivery, probably enhancing neonatal and maternal care, in accordance with new analysis from scientists at Northwestern Medication and Penn State.

The examine, which is printed within the journal Patterns and featured on the quilt, describes a pc program named PlacentaVision that may analyze a easy {photograph} of the placenta to detect abnormalities related to an infection and neonatal sepsis, a life-threatening situation that impacts hundreds of thousands of newborns globally.

“Placenta is one of the most common specimens that we see in the lab,” stated examine co-author Dr. Jeffery Goldstein, director of perinatal pathology and an affiliate professor of pathology at Northwestern College Feinberg College of Medication. “When the neonatal intensive care unit is treating a sick kid, even a few minutes can make a difference in medical decision making. With a diagnosis from these photographs, we can have an answer days earlier than we would in our normal process.”

Northwestern supplied the most important set of photographs for the examine, and Goldstein led the event and troubleshooting of the algorithms.

Alison D. Gernand, contact principal investigator on the mission, conceived the unique thought for this software by her international well being work, significantly with pregnancies the place girls ship of their properties resulting from lack of well being care assets.

“Discarding the placenta without examination is a common but often overlooked problem,” stated Gernand, affiliate professor within the Penn State Faculty of Well being and Human Improvement (HHD) Division of Dietary Sciences. “It is a missed opportunity to identify concerns and provide early intervention that can reduce complications and improve outcomes for both the mother and the baby.”

Why early examination of the placenta issues

The placenta performs a significant function within the well being of each the pregnant particular person and child throughout being pregnant, but it’s usually not completely examined at delivery, particularly in areas with restricted medical assets.

“This research could save lives and improve health outcomes,” stated Yimu Pan, a doctoral candidate within the informatics program from the Faculty of Info Sciences and Know-how (IST) and lead creator on the examine. “It could make placental examination more accessible, benefitting research and care for future pregnancies, especially for mothers and babies at higher risk of complications.”

Early identification of placental an infection by instruments like PlacentaVision may allow clinicians to take immediate actions, reminiscent of administering antibiotics to the mom or child and carefully monitoring the new child for indicators of an infection, the scientists stated.

PlacentaVision is meant to be used throughout a variety of medical demographics, in accordance with the researchers.

“In low-resource areas—places where hospitals don’t have pathology labs or specialists—this tool could help doctors quickly spot issues like infections from a placenta,” Pan stated. “In well-equipped hospitals, the tool may eventually help doctors determine which placentas need further, detailed examination, making the process more efficient and ensuring the most important cases are prioritized.”

“Before such a tool can be deployed globally, core technical obstacles we faced were to make the model flexible enough to handle various diagnoses related to the placenta and to ensure that the tool can be robust enough to handle various delivery conditions, including variation in lighting conditions, imaging quality and clinical settings” stated James Z. Wang, distinguished professor within the Faculty of IST at Penn State and one of many principal investigators on the examine.

“Our AI tool needs to maintain accuracy even when many training images come from a well-equipped urban hospital. Ensuring that PlacentaVision can handle a wide range of real-world conditions was essential.”

How the software discovered learn how to analyze photos of placentas

The researchers used cross-modal contrastive studying, an AI technique for aligning and understanding relationship between various kinds of information—on this case, visible (photographs) and textual (pathological reviews)—to show a pc program learn how to analyze photos of placentas.

They gathered a big, numerous dataset of placental photographs and pathological reviews spanning a 12-year interval, studied how these photographs relate to well being outcomes and constructed a mannequin that might make predictions based mostly on new photographs. The group additionally developed numerous picture alteration methods to simulate completely different photo-taking circumstances so the mannequin’s resilience will be evaluated correctly.

The outcome was PlacentaCLIP+, a strong machine-learning mannequin that may analyze pictures of placentas to detect well being dangers with excessive accuracy. It was validated cross-nationally to substantiate constant efficiency throughout populations.

In line with the researchers, PlacentaVision is designed to be straightforward to make use of, probably working by a smartphone app or built-in into medical document software program so docs can get fast solutions after supply.

Subsequent step: A user-friendly app for medical employees

“Our next steps include developing a user-friendly mobile app that can be used by medical professionals—with minimal training—in clinics or hospitals with low resources,” Pan stated. “The user-friendly app would allow doctors and nurses to photograph placentas and get immediate feedback and improve care.”

The researchers plan to make the software even smarter by together with extra sorts of placental options and including scientific information to enhance predictions whereas additionally contributing to analysis on long-term well being. They’re going to additionally take a look at the software in numerous hospitals to make sure it really works in quite a lot of settings.

“This tool has the potential to transform how placentas are examined after birth, especially in parts of the world where these exams are rarely done,” Gernand stated. “This innovation promises greater accessibility in both low- and high-resource settings. With further refinement, it has the potential to transform neonatal and maternal care by enabling early, personalized interventions that prevent severe health outcomes and improve the lives of mothers and infants worldwide.”

Extra info:
Yimu Pan et al, Cross-modal contrastive studying for unified placenta evaluation utilizing images, Patterns (2024). DOI: 10.1016/j.patter.2024.101097

Offered by
Northwestern College

Quotation:
AI software analyzes placentas at delivery for quicker detection of neonatal and maternal issues (2024, December 13)
retrieved 13 December 2024
from https://medicalxpress.com/information/2024-12-ai-tool-placentas-birth-faster.html

This doc is topic to copyright. Aside from any truthful dealing for the aim of personal examine or analysis, no
half could also be reproduced with out the written permission. The content material is supplied for info functions solely.

You Might Also Like

US approves first blood check for Alzheimer’s

A diabetes paradox: Improved well being has not boosted workforce prospects

No cardiac security considerations reported with a pharmaceutically manufactured cannabidiol formulation

Sweat and saliva testing as a substitute for blood sampling

Rediscovering denosumab: From osteoporosis treatment to a potential remedy for breast most cancers

TAGGED:analyzesbirthdetectionfastermaternalneonatalplacentasproblemstool
Share This Article
Facebook Twitter Email Print

Follow US

Find US on Social Medias
FacebookLike
TwitterFollow
YoutubeSubscribe
TelegramFollow
Popular News
Elon Musk says President Donald Trump has ‘agreed’ USAID needs to be shut down
Politics

Elon Musk says President Donald Trump has ‘agreed’ USAID needs to be shut down

Editorial Board February 3, 2025
Omalizumab treats multi-food allergy higher than oral immunotherapy, research finds
As Thanksgiving Approaches, U.S. Virus Cases Tick Upward Once More
Anthony Duclair, Bo Horvat rating 55 seconds aside as Islanders down Flyers 3-1
3 People freed in vacation prisoner change with China

You Might Also Like

Motion issues tremor and myoclonus could be nicely distinguished utilizing machine studying
Health

Motion issues tremor and myoclonus could be nicely distinguished utilizing machine studying

May 17, 2025
Branched-chain amino acids dietary supplements could hurt male bodybuilders’ fertility
Health

Branched-chain amino acids dietary supplements could hurt male bodybuilders’ fertility

May 17, 2025
Excessive midlife stress hormone ranges linked to Alzheimer’s threat in postmenopausal ladies
Health

Excessive midlife stress hormone ranges linked to Alzheimer’s threat in postmenopausal ladies

May 17, 2025
Iron deficiency anemia discovered to considerably improve ischemic stroke threat in younger adults
Health

Iron deficiency anemia discovered to considerably improve ischemic stroke threat in younger adults

May 17, 2025

Categories

  • Health
  • Sports
  • Politics
  • Entertainment
  • Technology
  • World
  • Art

About US

New York Dawn is a proud and integral publication of the Enspirers News Group, embodying the values of journalistic integrity and excellence.
Company
  • About Us
  • Newsroom Policies & Standards
  • Diversity & Inclusion
  • Careers
  • Media & Community Relations
  • Accessibility Statement
Contact Us
  • Contact Us
  • Contact Customer Care
  • Advertise
  • Licensing & Syndication
  • Request a Correction
  • Contact the Newsroom
  • Send a News Tip
  • Report a Vulnerability
Term of Use
  • Digital Products Terms of Sale
  • Terms of Service
  • Privacy Policy
  • Cookie Settings
  • Submissions & Discussion Policy
  • RSS Terms of Service
  • Ad Choices
© 2024 New York Dawn. All Rights Reserved.
Welcome Back!

Sign in to your account

Lost your password?