Prevention of medical errors

Japanese regulation and approval process for medical artificial intelligence (AI) as software as a medical device (SaMD): Current status and emerging challenges.

The rapid expansion of artificial intelligence (AI) in healthcare has led to increasing adoption of AI-based software as a medical device (SaMD). This paper reviews the current regulatory and approval framework for AI-based SaMD in Japan and discusses emerging challenges associated with generative and adaptive AI technologies. Under the Pharmaceuticals and Medical Devices Act (PMD Act), software i...

Secondary prevention of recurrent ischemic stroke: from guidelines to precision medicine.

Recurrent ischemic stroke remains a major global health challenge, accounting for substantial disability and mortality despite advances in acute management. Secondary prevention has undergone a fundamental paradigm shift-from standardized, population-based regimens toward individualized, mechanism-targeted precision medicine. This review integrates evidence from recent AHA/ASA and ESO guidelines[2...

Statin adherence among patients with hypertension in Swedish primary health care: a QregPV cohort study using explainable machine learning.

AIMS: Evidence regarding statin adherence among patients with hypertension in primary care is limited. We assessed statin adherence in Swedish primary...

Bioactive Natural Products in Cardiovascular Disease: Focus on Thrombotic Events.

Bioactive compounds derived from natural products (NPs) continue to attract considerable scientific interest due to their wide range of beneficial bio...

Evaluation of a Digital Intervention for Monitoring and Improving Medication Adherence Among Real-World e-Consumers of HIV Preexposure Prophylaxis in China: Protocol for a Randomized Controlled Trial.

BACKGROUND: Preexposure prophylaxis (PrEP) is a key biomedical HIV prevention strategy that relies heavily on adherence for optimal effectiveness. In ...

Developing a binary communication protocol between biological neural networks using virtual white matter.

Biological neural networks (BNNs) are composed of interconnected neurons, where a single neuron may connect to thousands of other neurons, and this in...

Ethical, legal, and regulatory challenges in AI-based healthcare tools.

Artificial intelligence (AI) is increasingly integrated into healthcare systems, offering transformative opportunities in diagnostics, treatment perso...

Development and external validation of a lightweight, explainable clinical decision support system for personalized perioperative risk stratification using electronic health records.

Late-preoperative risk stratification after final surgical scheduling may support perioperative risk communication, monitoring escalation, and resourc...

Echocardiographic assessment in arterial hypertension: a contemporary narrative review.

Arterial hypertension remains the leading modifiable cause of cardiovascular morbidity and mortality resulting in characteristic changes in cardiac st...

TACE-induced liver injury in hepatocellular carcinoma: mechanisms, prediction, and prevention in the era of gut microbiota and inflammasome research.

Transarterial chemoembolization (TACE) is a cornerstone locoregional therapy for hepatocellular carcinoma (HCC), yet most candidates also have cirrhos...

Applications, Challenges, and Future Directions of Large Language Models in Health Care Communication: Scoping Review.

BACKGROUND: Effective health care communication is crucial in the medical field. However, effective communication in clinical practice still faces num...

AI-assisted digital breast tomosynthesis as a decision-support tool for post-neoadjuvant surgical planning in breast cancer.

PURPOSE: Accurate assessment of residual disease after neoadjuvant chemotherapy (NAC) is essential for surgical planning and prevention of incomplete ...

Large Language Models for Breast and Cervical Cancers Communication: Mixed Methods Evaluation Study Assessing Linguistic Quality, Safety, and Accessibility.

BACKGROUND: Effective communication about breast and cervical cancers remains a public health challenge, with widespread misinformation and barriers t...

An explainable machine learning framework for computable physiologic risk representation in preanesthetic assessment: Development and external validation.

BACKGROUND: Preanesthetic evaluation requires clinicians to synthesize heterogeneous clinical information, yet perioperative risk communication often ...

Can ChatGPT provide reliable guidance to families of children with Duchenne Muscular Dystrophy? A dual perspective of parents and experts.

BACKGROUND: Artificial intelligence (AI)-driven chatbots, such as ChatGPT, have the potential to improve healthcare communication by providing timely ...

The crisis of manufactured scholarship: confronting AI-driven "letter-bombing" and profile inflation in medical journals.

Post-publication peer review faces a emerging systemic vulnerability from 'letter-bombing'-the proliferation of high-volume, potentially machine-gener...

The Concept of Harm in Medical Ethics.

The concept of harm is central to medical ethics. In particular, it is frequently used in ethical deliberation about clinical cases and harm-benefit a...

Exploring Non-Embodied AI-Based Digital Companions for Older Adults in Aging and Care Contexts: Protocol for a Scoping Review.

BACKGROUND: Conversational artificial intelligence (AI) technologies are increasingly positioned as a response to social isolation, loneliness, and un...

Evaluating AI-assisted sign language recognition as a digital health intervention to improve communication access for people who are deaf.

OBJECTIVES: Communication barriers experienced by people who are deaf remain a persistent public health challenge, particularly in healthcare settings...

Unit dose drug dispensing systems in hospitals: a systematic review of medication error reduction and cost-effectiveness.

BACKGROUND: Medical errors pose significant risks to patient safety and public health. Automated unit dose drug dispensing systems (UDDSs) have emerge...