Human-Centered Artificial Intelligence Framework for Overdose Mortality Surveillance, New York City, 2022‒2023.

19 | Artifical intelligence in foodborne disease surveillance: state of the art, clinical applications, and future perspectives

Artificial intelligence is a promising tool to transform FBD surveillance and its implementation requires dataset standardization, privacy protection, the reduction of algorithmic bias, and harmonized regulatory frameworks.

Artificial Intelligence against COVID-19: A Narrative Review

The COVID-19 pandemic accelerated the development and deployment of artificial intelligence (AI) across clinical medicine, public health, biomedical research, and pharmaceutical development. This narrative review synthesizes representative evidence published primarily from 2024 to 2026, a period chosen to capture the p...

Recommended guidelines concerning artificial intelligence and health equity: a scoping review

Abstract Introduction The use of artificial intelligence (AI) technologies in healthcare has potential to improve patient care, expand access, and optimize efficiency. Yet, a growing body of evidence warns of health risks for marginalized and minoritized populations as a result of algorithmic bias. Methods To synthesiz...

Artificial Intelligence in Healthcare Practice: Validation, Fairness, and Regulatory Challenges: A Systematic Review

AI demonstrates strong potential to improve the effectiveness, safety, and quality of healthcare, however, broader clinical adoption remains constrained by regulatory requirements, interpretability gaps, data quality issues, and workflow integration challenges, underscoring the need for stronger validation practices an...

Considerations for implementing a machine learning model for suicide risk in the health systems that serve American Indian communities

Natural Language Processing for Prediction of Chronic Diseases from Electronic Health Records

This approach combines semantic understanding of clinical narratives with structural modeling of patient-disease-treatment relationships and successfully validates synthetic EHR data utility for privacy-preserving healthcare AI development while addressing critical requirements necessary for clinical decision support s...