Health Policy

Position statement from the society of University surgeons, surgical education committee: Artificial intelligence in surgical training for medical students, residents, and fellows.

OBJECTIVE: To provide guidance from the Society of University of Surgeons' Surgical Education Committee on the responsible integration of artificial intelligence into surgical training. METHODS: Members of the Education Committee reviewed current applications of artificial intelligence in surgical training and convened expert discussions to frame opportunities, risks, and implementation strategies...

Estimating the Causal Effect of Realistic Treatment Strategies Using Longitudinal Observational Data.

BackgroundReal-world data can inform health care decisions by allowing the evaluation of nuanced treatment strategies. Longitudinal observational data enable the assessment of dynamic treatment regimes (DTRs), strategies that adapt treatment over time based on patient history, but require causal inference methods to address time-varying confounding. Longitudinal targeted minimum loss-based estimat...

Human vs. artificial intelligence: Physicians outperform ChatGPT in real-world pharmacotherapy counselling.

AIMS: To assess the utility of the artificial intelligence (AI) chatbot ChatGPT (openly available version 3.5) in responding to real-world pharmacothe...

Artificial intelligence-driven precision treatment of reproductive medicine-related diseases: the optimal protocol choice for IVF-ET.

INTRODUCTION: Optimal ovarian stimulation (OS) selection is critical for IVF success, but expert-based decisions often lack consistency in outcomes, c...

A perspective on AI implementation in medical imaging in LMICs: challenges, priorities, and strategies.

OBJECTIVES: Artificial intelligence (AI) promises to accelerate and democratize medical imaging, yet low- and middle-income countries (LMICs) face dis...

Uncovering predictors of bipolar II conversion to bipolar I: A machine learning analysis of national health records in Taiwan.

BACKGROUND: Bipolar II disorder (BD-II) can progress to bipolar I disorder (BD-I), carrying profound psychosocial consequences. However, limited resea...

Authorial Integrity in the Age of Artificial Intelligence: A Scientific Autobiography.

Writing a scientific autobiography is challenging due to the many factors influencing an academic career, including personal experiences, the era of o...

The Pediatric Surgeon's AI Toolbox: How Large Language Models Like ChatGPT Are Simplifying Practice and Expanding Global Access.

INTRODUCTION: Pediatric surgeons face substantial administrative workload. Large language models (LLMs) may streamline documentation, family communica...

Caring Science as a Mature Solution to Global Healthcare Challenges.

AIM: Healthcare systems face a growing challenge: as technology advances, patients increasingly feel like data points in systems that prioritise effic...

Accuracy of Robot-Guided Access Cavity Preparation in Managing Calcified Canals: An In Vitro Study.

AIM: To evaluate the accuracy of guided access cavity preparation in calcified canals using a robotic system, compared to static and dynamic guided me...

Abortion AI: Toward an equity-centered research agenda for AI and abortion.

OBJECTIVES: While the implications of AI for health care are frequently discussed, AI's relationship to abortion has received limited attention. This ...

Regulating AI in Nursing and Healthcare: Ensuring Safety, Equity, and Accessibility in the Era of Federal Innovation Policy.

The rapid integration of artificial intelligence in healthcare, accelerated by the Trump administration's 2025 AI Action Plan and private sector innov...

Democratizing AI in Healthcare with Open Medical Inference (OMI): Protocols, Data Exchange, and AI Integration.

The integration of artificial intelligence (AI) into healthcare is transforming clinical decision-making, patient outcomes, and workflows. AI inferenc...

Evaluation of Nurses' Perceptions and Readiness for Artificial Intelligence Integration in Healthcare: A Cross-Sectional Study in Turkey.

AIM: To determine the perceptions and readiness of nurses regarding the integration of artificial intelligence (AI) into healthcare services. DESIGN: ...

Intersections of Educational Attainment, Indigenous Identity, and Race/Ethnicity Best Predicted Diet Quality Among Adults in Canada: A Conditional Random Forests Analysis.

BACKGROUND: Although it is well-known that diet quality varies according to multiple dimensions of socioeconomic position (SEP), much remains unknown ...

Long-Term Outcomes and Cost-Effectiveness of Artificial Intelligence for Breast Cancer Screening: A Modeling Study.

OBJECTIVES: Artificial intelligence (AI)-assisted breast cancer screening may improve diagnostic accuracy; however, the long-term health outcomes and ...

Prognosis models for nasopharyngeal carcinoma recurrences by using tabu search algorithm.

Cancer is a significant public health issue that has a global impact. Significant mortality rates have already been observed due to this disease, and ...

Ethical and Regulatory Perception of Artificial Intelligence Among Dental Students: A Cross-Sectional Study.

INTRODUCTION: Given the rapid pace of digital technology and AI integration, addressing humanitarian concerns and potential ethical dilemmas in future...

An economic scenario analysis of implementing artificial intelligence in BreastScreen Norway-Impact on radiologist person-years, costs and effects.

ObjectiveTo study the implications of implementing artificial intelligence (AI) as a decision support tool in the Norwegian breast cancer screening pr...

Chatbots in sexual and reproductive health: bridging the divide in accessibility and equity.

BACKGROUND: Chatbots are increasingly utilized in the health care landscape, including in sexual and reproductive health (SRH). These tools have shown...