67 citations · 67 across the 1 of their papers we have counts for
7 papers
Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States
Tyra Girdwood, Saba Kheirinejad, Parnian Kheirkhah Rahimabad +4
For patients experiencing cancer, nurse navigation can ease the burden of complex care by enhancing coordination of health services and patient outcomes. However, in under-resource…
Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
Soheil Hashtarkhani, Brianna M. White, Benyamin Hoseini +2
Lung cancer (LC) is a leading cause of cancer-related mortality in the United States. Accurate prediction of LC mortality rates is crucial for guiding targeted interventions and ad…
Cancer Diagnosis Categorization in Electronic Health Records Using Large Language Models and BioBERT: Model Performance Evaluation Study
Soheil Hashtarkhani, Rezaur Rashid, Christopher L Brett +6
Electronic health records contain inconsistently structured or free-text data, requiring efficient preprocessing to enable predictive health care models. Although artificial intell…
Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach
Soheil Hashtarkhani, Yiwang Zhou, Fekede Asefa Kumsa +3
Breast cancer screening plays a pivotal role in early detection and subsequent effective management of the disease, impacting patient outcomes and survival rates. This study aims t…
Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review
Brianna M White, Rameshwari Prasad, Nariman Ammar +2
This study presents a narrative review of the use of digital health technologies (DHTs) and artificial intelligence to screen and mitigate risks and mental health consequences asso…
Explainable artificial intelligence in breast cancer detection and risk prediction: A systematic scoping review
Amirehsan Ghasemi, Soheil Hashtarkhani, David L Schwartz +1
With the advances in artificial intelligence (AI), data-driven algorithms are becoming increasingly popular in the medical domain. However, due to the nonlinear and complex behavio…