Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Parental Care

Parental Care

Many animals exhibit parental care behavior, including feeding, grooming, and protecting young offspring. Parental care is universal in mammals and birds, which often have young that are born relatively helpless. Several species of insects and fish, as well as some amphibians, also care for their young.

Current Trends in Nursing II

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...

Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

Health Information Technology and Healthcare Information System

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

Nursing Clinical Information System

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Gastrointestinal endoscopic image classification using a hybrid modified inception network and a customized vision transformer with tree growth feature selection.

Scientific reports·2026

Same author

Leveraging 3D Heart Visualisation and Data Balancing Techniques for ECG Classification.

Bioengineering (Basel, Switzerland)·2026

Same author

Motion-Based Confidence Score to Support the Practical Application of rPPG Methods in Health Monitoring.

Journal of medical systems·2026

Same author

Retraction Note: Predictive modelling and identification of key risk factors for stroke using machine learning.

Scientific reports·2026

Same author

A multimodal dataset of harmful simulated behaviours in high-risk clinical settings using radar.

Scientific data·2026

Same author

Orchestrating machine learning models in a swarm architecture for IoT inline malware detection.

Scientific reports·2025

Search research articles

Related Experiment Video

Updated: Sep 6, 2025

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect

Published on: September 22, 2023

Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review.

Saima Gulzar Ahmad¹, Tassawar Iqbal¹, Anam Javaid¹

¹Department of Computer Science, Wah Campus, COMSATS University Islamabad, Islamabad 45040, Pakistan.

Sensors (Basel, Switzerland)

|June 24, 2022

Summary

Information and communication technology (ICT) and artificial intelligence (AI) enhance maternal and infant healthcare, particularly in rural areas. This review examines wearable sensors and AI algorithms for predicting health risks during and after pregnancy.

Keywords:

artificial intelligence healthcare infant machine learning maternal wearable sensors wireless sensors

More Related Videos

Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

Published on: May 31, 2024

Analysis of Electrocardiograms and Behavior in Mice from Pregnancy to Lactation Period

Analysis of Electrocardiograms and Behavior in Mice from Pregnancy to Lactation Period

Published on: April 5, 2024

Related Experiment Videos

Last Updated: Sep 6, 2025

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect

A Common Marmoset Model of Mother-Infant Intervention for Breastfeeding Disorders in the Presence of Paternal Inhibition and Maternal Neglect

Published on: September 22, 2023

Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

Author Spotlight: Capturing Infant-Caregiver Interactions Through Synchronized Multimodal Data Collection

Published on: May 31, 2024

Analysis of Electrocardiograms and Behavior in Mice from Pregnancy to Lactation Period

Analysis of Electrocardiograms and Behavior in Mice from Pregnancy to Lactation Period

Published on: April 5, 2024

Area of Science:

Health Informatics
Biomedical Engineering
Artificial Intelligence in Healthcare

Background:

Information and communication technology (ICT) is crucial for extending healthcare services to rural and disadvantaged populations.
Maternal and infant health are critical societal components, necessitating advanced healthcare solutions.
Existing research highlights the potential of sensing and AI in healthcare for predicting patient conditions.

Purpose of the Study:

To review wearable sensors and artificial intelligence (AI) algorithms used in ICT-enabled systems for maternal and infant health.
To analyze existing systems for predicting health risks during and after pregnancy for mothers and infants.
To provide a chronological overview of sensors, AI algorithms, features, outcomes, and novel aspects.

Main Methods:

Systematic review of wearable sensors and AI algorithms applied to maternal and infant healthcare.
Analysis of chronological developments in sensing and AI for health parameter gauging and condition prediction.
Examination of datasets, challenges, and future research directions in the field.

Main Results:

Wearable sensors are utilized to measure vital health parameters in mothers and infants.
Machine learning techniques are employed to predict health conditions and identify risk factors.
Significant advancements in computing platforms support the processing of large healthcare datasets.

Conclusions:

ICT-enabled systems, integrating wearable sensors and AI, show significant potential for improving maternal and infant health outcomes.
The review provides a comprehensive analysis of current technologies, their effectiveness, and areas for future development.
Further research is needed to address challenges and fully leverage these technologies for enhanced perinatal and neonatal care.