Ethics

Performance of artificial intelligence in the collection of patient history in general practice.

OBJECTIVE: Automating administrative tasks, such as compiling a patient's medical history, could help general practitioners in their daily work. AI performance has improved in recent decades, but skepticism among professionals limits its use in medical practice, due to fears of gaps and biases. This study attempts to evaluate the effectiveness of AI in recording patient histories compared to gener...

The Algorithm's Blindspot: An Ethical Critique of Data-Fetishism and the Deskilling of the Clinical Gaze in Ophthalmology.

The rapid integration of artificial intelligence (AI) in ophthalmology has produced remarkable diagnostic accuracy while simultaneously raising significant ethical and epistemic concerns. This article argues that the prevailing AI paradigm fosters a form of data-fetishism: the tendency to treat datasets and algorithmic outputs as objective truth, privileging measurable metrics over the patient's l...

The future of pediatric gene therapy: CRISPR-Cas9, AI, and personalized medicine.

The future of pediatric gene therapy is being fundamentally reshaped by the convergence of CRISPR-Cas9 genome editing, artificial intelligence (AI), a...

Biosensor-Based Detection and Quantification of Arsenic in Drinking Water.

Arsenic contamination of drinking water remains a persistent global health burden and an environmental justice challenge, particularly for low-resourc...

PEPCAL: A Heuristic Framework for Teaching Generative AI to Continuing Professional Education Providers and Faculty Developers.

Generative AI is rapidly evolving with the potential to change the way we think about and provide continuing professional development (CPD) and facult...

Personalised approach to hypertension treatment: protocol for the HYPERMARKER randomised controlled trial.

INTRODUCTION: Blood pressure treatment response is variable in individual patients, and the choice of medical therapy is often dependent on clinician ...

Occupational therapists' use of digital technologies to support people with disabilities in engaging in occupation: a scoping review protocol.

INTRODUCTION: Digital tools such as virtual reality, mobile applications and digital devices are being implemented across various healthcare practice ...

Development of a predictive marker panel for the individualised bDMARD therapy of psoriatic arthritis: protocol for a prospective observational study (Integrate-PsA).

INTRODUCTION: Psoriatic arthritis is a chronic inflammatory disease that can affect the axial skeleton as well as the joints and enthesis. Following t...

Ontology-driven energy-efficient SAID framework for 5G and IoT networks using cryptographic techniques.

The rapid deployment and usage of 5G and IoT networks in smart cities present significant challenges for cybersecurity, particularly regarding energy ...

Knowledge, attitudes, practices and ethics related to artificial intelligence among nursing students: a national cross-sectional survey in China.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming healthcare. Current and future healthcare workforce, including nursing students, requ...

Reconstruction-informed and multidomain deep learning for generalizable CT-free attenuation correction in SPECT myocardial perfusion imaging.

PURPOSE: Deep learning (DL) has shown promise in enabling attenuation correction (AC) for SPECT myocardial perfusion imaging (MPI) without relying on ...

Artificial Intelligence-Based Computer-Aided Detection in Breast Cancer Diagnosis: Variation by Breast Density, Imaging Feature, and Tumor Characteristics.

RATIONALE AND OBJECTIVES: To determine whether an FDA-approved artificial intelligence computer-aided detection and diagnosis (AI-CAD) system assigns ...

Artificial Intelligence in Medical Writing: A Practical and Ethical Framework for Surgical Research and Publication.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming surgical research and medical publishing by changing how clinicians discover, evaluat...

Predicting Neonatal Respiratory Outcomes Using Machine Learning: A Systematic Review Through a Life Course Lens.

BACKGROUND: Neonatal respiratory outcomes remain leading drivers of neonatal intensive care unit (NICU) morbidity, mortality, and prolonged hospitaliz...

Impact of an artificial intelligence automated chatbot-driven educational-counselling intervention on childbearing attitudes and motivations among childless married women: study protocol for a parallel randomised controlled trial.

INTRODUCTION: Understanding population dynamics is essential for achieving the Sustainable Development Goals. Global population growth has slowed, and...

Disparities in severe infection risk associated with systemic lupus erythematosus: evidence from a causal forest analysis.

OBJECTIVES: Severe infections are a primary cause of morbidity and premature mortality in patients with Systemic Lupus Erythematosus (SLE). Although S...

Development of a machine learning-based model for predicting adverse pregnancy outcomes in women with polycystic ovary syndrome (PCOS): a retrospective observational study protocol.

INTRODUCTION: Polycystic ovary syndrome (PCOS) is a prevalent endocrine condition in reproductive-aged women, which is associated with adverse materna...

Reform of criminal laws in India: Potential impact on the criminal justice system and forensic investigation.

Although India gained independence in 1947, its laws, namely the Indian Penal Code (IPC) of 1860, the Code of Criminal Procedure (CrPC) of 1973 and th...

[When AI is involved in making decisions. Ethical considerations on shared decision-making in psychotherapeutic-psychiatric treatment].

BACKGROUND: Artificial intelligence (AI) is on the rise in the treatment of persons with psychiatric disorders. It can integrate diverse data points, ...

Multidisciplinary research priorities for artificial intelligence in mental health: a call to action.

The use of artificial intelligence (AI) is anticipated to transform mental health care. However, the rapid research growth in this field has outpaced ...