Medicolegal

Deep-Learning Based Contrast Boosting: A Multi-Center Multi-Reader Study on Clinical Performance With Standard Contrast Enhanced Brain MRI.

BACKGROUND: Gadolinium-based contrast agents are used in brain MRI to improve the visualization of disorders and improve the delineation of lesions. Higher doses of GBCAs can improve lesion sensitivity but may have safety implications, particularly in light of recent findings on gadolinium retention and deposition. PURPOSE: To evaluate the clinical performance of an FDA-cleared deep-learning (DL)-...

Challenges in Medical Algorithmic Fairness.

Artificial intelligence (AI) is increasingly being integrated into oncology for applications including cancer detection, risk stratification, treatment planning, and clinical documentation. Concerningly, growing evidence demonstrates that AI systems can reproduce or amplify existing disparities across patient populations. Although considerable effort has focused on developing computational methods...

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...

Wearable Triboelectric Sensors Based on High-Performance Au/TPU Nanofiber Electrodes for Object Recognition, Emotion Recognition, and Wireless Real-Time Robot Control.

Highly conductive and stretchable nanofibers are promising material candidates for wearable devices. However, traditional electrode materials are limi...

How Artificial Intelligence Reshapes Clinical Decision Thresholds in Cariology: A Qualitative Study of Dentists.

Dental caries management requires iterative clinical reasoning, yet treatment thresholds and intervention pathways vary considerably among dentists de...

AI-generated patient instructions as safety-critical communication: a provisional evidence-informed framework for clinical deployment.

Generative artificial intelligence (AI) can convert clinical information into patient-facing instructions, including discharge summaries, medication e...

Local Chemistry-Guided Molecular Beam Epitaxy Growth of SnSe on MgO via Combined ReaxFF Modeling and Machine Learning.

Subtle variations in local growth chemistry can fundamentally alter the morphology of layered chalcogenide thin films, yet the atomic-scale mechanisms...

Application of Artificial Intelligence (AI) in cancer symptom management for adult cancer survivors: a scoping review.

BACKGROUND AND AIM: Artificial Intelligence (AI) has been increasingly used in cancer survivorship to support symptom management. This scoping review ...

Leveraging Machine Learning for Accelerated Electrode-Electrolyte Interface Design in Rechargeable Li-Based Batteries.

Due to their high specific energy, lithium-metal batteries (LMBs) are widely regarded as the promising next-generation energy storage devices. Neverth...

Multimodal MRI insights into hippocampal pathological changes across the Alzheimer's disease continuum: advances and challenges.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder, with early and progressive hippocampal pathology serving as a hallmark across th...

The AI Colleague: Reimagining Interprofessional Collaboration and Education in Medicine.

AI is no longer confined to optional decision support; it is becoming a routine presence in clinical workflows, shaping diagnostic hypotheses, triage ...

[(DGH) Digitalisation in Hand Surgery - A Survey on the Current Situation among Members of the German Society for Hand Surgery (DGH)].

BACKGROUND: Digitalisation, and in particular the use of artificial intelligence (AI), is becoming increasingly important in medicine. At the same tim...

Letter to the Editor: Ambient voice technology in CAMHS - from documentation relief to outcome-accountable implementation.

Ambient voice technology has been proposed as a promising approach to reduce documentation burden in child and adolescent mental health services and n...

Altered Complement and Tubular Mitochondrial Proteins Are Linked to Graft Loss in DSA+ Antibody-Mediated Rejection.

BACKGROUND: Antibody-mediated rejection (AMR) is the main driver of late kidney allograft loss. Anti-HLA donor-specific antibodies (DSA) are strongly ...

From user to manufacturer: How substantial modification of medical AI crosses the product liability threshold under the revised PLD.

The revised Product Liability Directive (rPLD) introduces a pivotal shift in the liability landscape for healthcare professionals using artificial int...

Harmonizing Multi-Institutional Clinical Documentation Using Natural Language Processing in Neurofibromatosis Type 1.

BACKGROUND AND OBJECTIVES: Machine learning (ML) and natural language processing (NLP) approaches are increasingly used to support nuanced phenotyping...

Missed Pulmonary Nodules on CT: Determinants and Implications for Radiologic Practice.

Undetected or unreported lung nodules are a significant cause of failure-to-diagnose errors in radiology. The available literature indicates consisten...

Stabilizing Anion-Derived Interphase by Machine-Learning-Accelerated Screening of Out-of-Shell Co-Solvents for Aqueous Zinc Batteries.

Aqueous zinc batteries (AZBs) lack a stable anion-derived solid electrolyte interphase (SEI) on the Zn anode, resulting in severe competition between ...

Planning the development of an AI-driven decision support architecture for the recognition of sudden cardiac arrest by 9-1-1 telecommunicators: report of a community engagement and brainstorming meeting.

OBJECTIVES: Sudden cardiac arrest is a leading cause of mortality in Canada (40,000 treatable deaths annually). Despite the benefits of 9-1-1 telecomm...

Validation of tumour-negative lymph node size as a novel independent prognostic biomarker in oesophagogastric adenocarcinoma: post hoc analysis of the UK MRC OE05 and ST03 randomised trials.

BACKGROUND: The size of tumour-negative regional lymph nodes (LNnegs) may be associated with the host antitumour immune response in patients with oeso...