US Health Policy

Roles for AI in Implementation of Medicaid Work Requirements.

The future of precision oncology and artificial intelligence in Belgium: scenarios and policy responses.

PURPOSE: Precision medicine, also known as personalized medicine, enables the provision of tailored health services to patients. In the prevention, early detection, and treatment of cancers, precision medicine is highly promising, given the increasing use of genomic profiling for diagnosis and adapting therapies in several tumor types. Artificial Intelligence (AI) can support this process by analy...

Multicenter machine learning model using clinical and radiomic features for prediction of postoperative residual status in meningioma.

OBJECTIVE: Gross-total resection is the primary surgical objective in meningioma management; however, predicting resectability preoperatively remains ...

Large Language Models vs. NASS Common Coding Scenarios: An Analysis of Accuracy and Financial Implications using 2026 CPT AMA Codebook Guidelines.

BACKGROUND CONTEXT: Accurate Current Procedural Terminology (CPT) coding is essential for compliant revenue cycle management in spine surgery. However...

Machine learning for prediction of large-for-gestational-age neonate with adverse outcome at routine ultrasound examination at 35-37 weeks.

OBJECTIVES: To evaluate the performance of a machine-learning (ML) model compared with traditional logistic regression models for predicting a large-f...

Risks of Major Adverse Kidney Events in Non-Hispanic Black Patients with Diabetes or Hypertension: A real-world cohort study.

INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patients who experience a three- to four-fold higher ri...

Leveraging artificial intelligence in the early detection of ovarian cancer: Development and validation of a risk prediction model.

OBJECTIVE: To develop and validate a predictive tool to estimate the risk of ovarian cancer in a screening setting. METHODS: Machine learning was leve...

Artificial Intelligence and Machine Learning for Identifying Social Determinants of Health in Low-Income Populations Within United States Health Systems: A Scoping Review.

BACKGROUND AND AIMS: Low-income populations in the United States experience disproportionate exposure to adverse social conditions. This scoping revie...

The Future of Healthcare Leadership Education: A Consensus Vision and Research Agenda from an International Working Group.

Healthcare systems worldwide face escalating complexity driven by workforce shortages, increasing patient acuity, interprofessional practice demands, ...

Assessing the Utility of Social Determinants of Health Data in Suicide Prediction Models.

OBJECTIVE: This study seeks to explore the utility of social determinants of health (SDoH) variables in suicide prediction models. We aim to assess th...

An Umbrella Review of Artificial Intelligence Applications in Mental Health Care.

BACKGROUND: Artificial intelligence (AI) is increasingly used in mental health care to address rising demand, workforce shortages and access barriers;...

Neural Value Alignment: Human-AI Collaboration Under Goal-Action Ambiguity.

Value alignment plays a crucial role in human-artificial intelligence (AI) collaboration. Traditional approaches attempt to infer human goals from act...

Machine learning prediction of 30-day mortality in coronary artery disease: a retrospective multicenter study using electronic health records.

BACKGROUND: Coronary artery disease (CAD) is the leading cause of death globally and a major contributor to hospital readmission. This study aimed to ...

Evaluating cellular communication sensing for lapse risk prediction during early recovery from alcohol use disorder: A longitudinal observational study.

Alcohol Use Disorder (AUD) is a chronic, relapsing condition, and identifying periods of elevated lapse risk remains a major challenge in supporting r...

Validation of an Artificial Intelligence-Derived ECG Algorithm for Detecting Cardiac Amyloidosis in Patients With Heart Failure With Preserved Ejection Fraction: Clinical Application and Prognostic Implications.

BACKGROUND: Cardiac transthyretin amyloidosis (ATTR-CA) is frequently underdiagnosed and commonly presents as heart failure with preserved ejection fr...

The Economic Imperative for an AI Productivity Index in Healthcare: Beyond Clinical Promise to Fiscal Accountability.

Artificial intelligence (AI) is increasingly embedded in healthcare delivery, yet its evaluation remains dominated by technical performance metrics th...

Outcomes of Single-View Asymmetries Recalled From Screening Mammography and Exploratory Analysis of AI Detection.

PURPOSE: To evaluate the diagnostic outcomes of single-view asymmetries (SVAs) recalled from screening mammography and to explore the association betw...

The Value Opportunity from Artificial Intelligence in U.S. Health Care Spending.

Artificial intelligence (AI) offers the potential to improve productivity and reduce waste across the U.S. health care system. Quantifying achievable ...

The Challenges of AI Applications in Health Care: Qualitative Study.

BACKGROUND: The application of AI in clinical settings is becoming increasingly widespread, exerting a profound impact on health care professionals' w...

Artificial intelligence for predicting BCG response in non-muscle-invasive bladder cancer: a systematic review.

OBJECTIVES: To systematically identify, appraise and synthesise artificial intelligence (AI) and machine-learning (ML) models that predict treatment r...