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Prevention of medical errors

Latest AI and machine learning research in prevention of medical errors for healthcare professionals.

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Showing 274-294 of 5,411 articles
Secondary prevention of recurrent ischemic stroke: from guidelines to precision medicine.

Recurrent ischemic stroke remains a major global health challenge, accounting for substantial disabi...

(1)
Jun 2026 42374519
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 limite...

(1)
Jun 2026 42366593
Bioactive Natural Products in Cardiovascular Disease: Focus on Thrombotic Events.

Bioactive compounds derived from natural products (NPs) continue to attract considerable scientific ...

(1)
Jun 2026 42370749
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 ...

Jun 2026 42372793
Ethical, legal, and regulatory challenges in AI-based healthcare tools.

Artificial intelligence (AI) is increasingly integrated into healthcare systems, offering transforma...

Jun 2026 42373007
Echocardiographic assessment in arterial hypertension: a contemporary narrative review.

Arterial hypertension remains the leading modifiable cause of cardiovascular morbidity and mortality...

(2)
Jun 2026 42366420
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 carc...

Jun 2026 42364906
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 ...

Jun 2026 42361210
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 f...

Jun 2026 42360378
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 challe...

Jun 2026 42361270
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 inform...

(1)
Jun 2026 42364468
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 imp...

(2)
Jun 2026 42351001
The Concept of Harm in Medical Ethics.

The concept of harm is central to medical ethics. In particular, it is frequently used in ethical de...

Jun 2026 42340328
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 ...

Jun 2026 42340803
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 hea...

Jun 2026 42341733
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 uni...

Jun 2026 40015720
Aggression in epilepsy and sleep: from historical accounts to brain networks and human behaviour.

For a long time, epilepsy has been associated with violent behaviour, acquiring a highly stigmatisin...

Jun 2026 42334378
Privacy-aware diabetic retinopathy grading and visual lesion-focused interpretability through mixture-of-experts federated deep learning with explainable AI.

Diabetic Retinopathy (DR) is still a major cause of vision loss that can be avoided. This means that...

(4)
Jun 2026 42336935
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