Health Policy

Equity in Neurotoxicity Care in the Era of Cancer Immunotherapy.

Immunotherapies such as chimeric antigen receptor T cell (CAR-T) therapy and immune checkpoint inhibitors have improved cancer survival but are associated with potentially severe neurotoxicities that can impair neurologic function, quality of life, and survival. Despite their growing use, substantial disparities persist in the recognition, diagnosis, and management of cancer therapy-related neurot...

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 that inadequately capture real-world system value. Clinical accuracy is necessary but insufficient to justify adoption in resource-constrained health systems facing workforce shortages and rising demand. AI technologies compete for limited financial, t...

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 ...

Contemporary practice patterns of shock wave lithotripsy in the era of endourology: an international FUTURE survey.

The relative use of shock wave lithotripsy (SWL) has declined with the expansion of endourological techniques, although SWL remains widely available. ...

The Continuity Trap in Data Science Health Research.

Secondary use is now the ordinary condition of data science health research rather than an exception to it. Electronic health records collected for cl...

A Governance Framework for Diagnostic Quality in Hospital-Radiology Joint Ventures.

RATIONALE AND OBJECTIVES: Hospital-radiology joint ventures (JVs) are forming at an accelerating pace as health systems seek to recapture outpatient i...

Integration of artificial intelligence in public health dentistry: applications, challenges, and future directions - a scoping review.

Artificial intelligence (AI) is transforming healthcare delivery globally, with increasing applications in public health dentistry. This scoping revie...

User evaluation of AI- and human-generated responses in digital health communication: a paired survey study.

BACKGROUND: Digital health communication is gaining importance as health care systems face increasing demand and structural constraints. Generative ar...

Optimization of hospitalization duration and cost structure for chronic schizophrenia patients in psychiatric hospitals.

OBJECTIVE: Chronic schizophrenia patients in psychiatric hospitals often have prolonged stays, high insurance resource consumption, and low efficiency...

Managing risk and reward: Exploring immigrant platform workers' occupational safety and wellbeing through a sociotechnical lens.

BackgroundThe rise of digital platforms and algorithmically-managed labour is reshaping traditional understandings of job quality, safety, and wellbei...

Dissolution of Continuity of Ethical Governance in Data Science Health Research: A Diagnostic and Response Framework for Lifecycle Oversight.

Traditional research ethics governance was designed for bounded protocols, identifiable investigators, and temporally limited encounters with human pa...

Nephrology 2050: an evidence-informed roadmap from precision prevention to kidney regeneration.

BACKGROUND: Chronic kidney disease (CKD) is projected to become one of the leading causes of premature mortality worldwide by 2050. Simultaneously, ad...

Cost-Effectiveness of an Artificial Intelligence as a Medical Device (AIaMD) for Triaging Patients Presenting to Primary Care with Concerns that They Have a Skin Cancer: A Modelling Study.

INTRODUCTION: Health services are struggling to cope with the growing numbers of people coming with skin lesions they are worried could be cancer. Usi...

Value of AI in Critical Care Using Real-World Evidence on Intensive Care Unit Mortality Prediction: Cost-Utility Analysis.

BACKGROUND: AI-based models for predicting mortality have shown potential for intensive care unit (ICU) patients, but evidence regarding their cost-ef...

NeuroSift for Task-Aware Quality Assurance of Multimedia Data in Remote Parkinson Disease Assessment: Machine Learning Model Development and Validation Study.

BACKGROUND: Automated multimedia analysis of remotely recorded tasks offers a scalable approach to screening and remote monitoring of movement disorde...

Large language models and prostate MRI reporting: a stringent testbed for safe deployment under evolving AI, health-data, and cybersecurity regulation.

Prostate magnetic resonance imaging (MRI) reporting is a high-impact communication task because small differences in lesion laterality, sector localiz...

Acceptability, Usability, and Clinical Appropriateness of an AI-Powered Tool for Linkage to HIV Services After HIV Self-Testing in South Africa: Mixed Methods Evaluation.

BACKGROUND: Timely linkage to HIV prevention and treatment services following HIV self-testing (HIVST) remains a challenge in many countries. While HI...

The role of artificial intelligence in predicting readmission risk in emergency patients: An umbrella review.

BACKGROUND: Hospital readmission following emergency care remains a persistent challenge, reflecting gaps in care continuity, discharge planning, and ...

Long-term PM2.5 exposure and leukemia risk from childhood to early adulthood: A nationwide longitudinal cohort study with time-varying exposure analysis.

Long-term exposure to fine particulate matter (PM2.5) has been suggested as an environmental risk factor for childhood leukemia. This study examined t...

From general-purpose models to purpose-built artificial intelligence Systems for Health economic Modeling.

INTRODUCTION: Health economic models (HEMs) provide a solid foundation for reimbursement policy decisions that shape patient access to new treatments ...