Extracting social determinants of health from electronic health records using natural language processing: a systematic review
Objective Social determinants of health (SDoH) are nonclinical dispositions that impact
patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can …
patient health risks and clinical outcomes. Leveraging SDoH in clinical decision-making can …
Machine learning applied to electronic health record data in home healthcare: a scoping review
Objective Despite recent calls for home healthcare (HHC) to integrate informatics, the
application of machine learning in HHC is relatively unknown. Thus, this study aimed to …
application of machine learning in HHC is relatively unknown. Thus, this study aimed to …
Mapping the regulatory landscape for artificial intelligence in health within the European Union
Regulatory frameworks for artificial intelligence (AI) are needed to mitigate risks while
ensuring the ethical, secure, and effective implementation of AI technology in healthcare and …
ensuring the ethical, secure, and effective implementation of AI technology in healthcare and …
The 2022 n2c2/UW shared task on extracting social determinants of health
Objective The n2c2/UW SDOH Challenge explores the extraction of social determinant of
health (SDOH) information from clinical notes. The objectives include the advancement of …
health (SDOH) information from clinical notes. The objectives include the advancement of …
Artificial intelligence, ChatGPT, and other large language models for social determinants of health: Current state and future directions
This perspective highlights the importance of addressing social determinants of health
(SDOH) in patient health outcomes and health inequity, a global problem exacerbated by …
(SDOH) in patient health outcomes and health inequity, a global problem exacerbated by …
[HTML][HTML] Natural language processing for clinical notes in dentistry: a systematic review
F Pethani, AG Dunn - Journal of Biomedical Informatics, 2023 - Elsevier
Objective To identify and synthesise research on applications of natural language
processing (NLP) for information extraction and retrieval from clinical notes in dentistry …
processing (NLP) for information extraction and retrieval from clinical notes in dentistry …
[HTML][HTML] The impact of artificial intelligence on health equity in oncology: scoping review
Background The field of oncology is at the forefront of advances in artificial intelligence (AI)
in health care, providing an opportunity to examine the early integration of these …
in health care, providing an opportunity to examine the early integration of these …
Social prescribing for children and young people
Mental ill health in children and young people (ie, people aged 10–19 years) is a global
problem. In 2019, one in seven children and young people had diagnosed mental health …
problem. In 2019, one in seven children and young people had diagnosed mental health …
Ethical artificial intelligence in paediatrics
The use of artificial intelligence (AI) in paediatric research and clinical practice has steadily
increased and has mostly been leveraged to augment diagnostic assessment, risk …
increased and has mostly been leveraged to augment diagnostic assessment, risk …
Model-based estimation of individual-level social determinants of health and its applications in All of Us
BY Kim, R Anthopolos, H Do… - Journal of the American …, 2024 - academic.oup.com
Objectives We introduce a widely applicable model-based approach for estimating
individual-level Social Determinants of Health (SDoH) and evaluate its effectiveness using …
individual-level Social Determinants of Health (SDoH) and evaluate its effectiveness using …