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Search Results: MCHLine

Items in this list may be obtained from the sources cited. Contact information reflects the most current data about the source that has been provided to the MCH Digital Library.

Displaying records 1 through 3 (3 total).

Nurtur Care. 2025. Nurtur . ,

Annotation: This website describes nurtur, a digital health platform that uses artificial intelligence to predict and prevent postpartum depression in mothers. The platform works with Ob/Gyns to identify at-risk patients early in pregnancy and provides personalized self-guided therapy and ongoing support throughout the pregnancy journey. Using a three-phase approach across trimesters—discovery, prevention, and engagement—nurtur offers tools that have been proven to prevent over 50% of postpartum depression cases. The platform features a collaborative care model that integrates primary care providers, behavioral care managers, and psychiatric consultants, while being reimbursable through health insurance. In beta testing as of April 2025.

Contact: Nurtur Care, E-mail: [email protected] Web Site: https://nurturcare.com

Keywords: Artificial intelligence, Mobile Apps, Obstetrics, Patient education, Postpartum care, Postpartum depression, Prevention, Resources for professionals, Screening, Service integration, Telemedicine

U.S. Government Accountability Office . 2024. Artificial intelligence: Generative AI technologies and their commercial applications. Washington, DC: U.S. Government Accountability Office, 12 pp.

Annotation: This report examines the development, capabilities, and potential applications of generative artificial intelligence (AI) technology. It explains how generative AI differs from conventional AI in its ability to create novel content, requirements for vast training data, and model complexity. The report describes various model architectures like transformers and diffusion models, discusses factors enabling commercial development including computing advances and new refinement techniques, and explores potential applications across software engineering, business, education, and healthcare sectors. Based on literature reviews and interviews with leading AI companies, it provides an overview of commercially developed generative AI products and their capabilities as of April 2024, while noting both opportunities and risks associated with this rapidly evolving technology.

Contact: U.S. Government Accountability Office, 441 G Street, N.W., Washington, DC 20548, Telephone: (202) 512-3000 E-mail: [email protected] Web Site: http://www.gao.gov

Keywords: Artificial intelligence, Technology, Learning, Problem solving

Pan American Health Organization . 2021. Artificial intelligence in public health . Washington, DC: Pan American Health Organization , 6 pp.

Annotation: This toolkit provides guidance on the implementation of Artificial Intelligence in public health (AI4PH). The document outlines 8 key guiding principles for AI4PH interventions, including people-centered approaches, ethical foundations, transparency, data protection, scientific integrity, openness, nondiscrimination, and human control requirements. It details various AI components and sub-fields relevant to public health, such as machine learning, natural language processing, robotics, and computer vision, providing specific examples of their current applications with references to published research. The document also discusses implementation considerations around ethical principles, regulatory frameworks, and integration with the Pan American Health Organization's (PAHO's) broader digital transformation principles for public health. This technical guidance was developed collaboratively by PAHO with support from multiple international development agencies and academic institutions to help standardize and guide the responsible adoption of AI technologies in public health settings across the Americas.

Contact: Pan American Health Organization, 525 23rd Street, N.W., Washington, DC 20037, Telephone: (202) 974-3000 Web Site: http://new.paho.org

Keywords: Artificial intelligence, Guidelines, Public health, Technology
   

The MCH Digital Library is one of six special collections at Geogetown University, the nation's oldest Jesuit institution of higher education. It is supported in part by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under award number U02MC31613, MCH Advanced Education Policy with an award of $700,000/year. The library is also supported through foundation and univerity funding. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.