AI Medical Compendium

Transformer-encoded nnU-Net with local region perceptron and contrastive learning (TLC-nnUNet) for multiple brain metastasis detection and delineation.

Physics in medicine and biology Mar 3, 2026

Accurate detection and segmentation of multiple brain metastases (BMs) on MRI remain challenging, particularly for those involving small lesions (longest axis length <3 mm), due to limitations in sensitivity, precision, and feature representation in ... read more

Accelerating quasiparticle physics: A review on the synergy of machine learning and density functional theory for excitons, polaritons, and plasmons.

Journal of physics. Condensed matter : an Institute of Physics journal Mar 3, 2026

Quasiparticles such as excitons, polaritons, and plasmons are central to understanding the optical and electronic properties of modern materials, with profound implications for optoelectronics, renewable energy, and quantum information science. The t... read more

Artificial intelligence in preterm birth prediction: a narrative review of current approaches and clinical applicability.

Obstetrics & gynecology science Mar 3, 2026

Preterm birth remains the leading cause of neonatal morbidity and mortality worldwide, affecting approximately 13.4 million births annually. Despite advances in our understanding of risk factors, current clinical prediction methods have demonstrated ... read more

AI-Powered Ambient Scribe Technology Experiences Among Emergency Physicians: Cross-Sectional, Mixed Methods Pilot Survey Study.

JMIR formative research Mar 3, 2026

BACKGROUND: Health care organizations have started to implement artificial intelligence-powered ambient scribe technology in clinical documentation workflows. Early outpatient studies have shown mixed results. Few studies have evaluated ambient scrib... read more

Digital Technologies That Support Meaningful Connections in Care Homes: Scoping Review.

Journal of medical Internet research Mar 3, 2026

BACKGROUND: Meaningful connections in which people feel valued, seen, and heard are essential for social health and well-being. However, individual, systemic, and structural barriers exist within care homes that exacerbate risks for social isolation ... read more

Enabling digital multifactorial risk assessment in primary care: an umbrella review and recommendations for design and implementation.

BMJ health & care informatics Mar 3, 2026

OBJECTIVES: To develop recommendations to inform development and integration of predictive digital health and artificial intelligence tools in primary care. METHODS: Recommendation development involved two stages. The initial scoping phase comprised ... read more

Influence of body composition on the efficacy of nivolumab plus ipilimumab for metastatic clear cell renal cell carcinoma.

Journal for immunotherapy of cancer Mar 3, 2026

BACKGROUND: Immune checkpoint inhibitor therapy (ICI) with nivolumab+ipilimumab is a first-line (1L) standard for metastatic clear cell renal cell carcinoma (ccRCC), yet outcomes remain heterogeneous. Increasing evidence suggests that host factors in... read more

TCR sequencing in cancer immunology and immunotherapy: what, when, where, why, and how.

Journal for immunotherapy of cancer Mar 3, 2026

T-cell receptors (TCRs) are generated through somatic recombination of variable (V), diversity (D), and joining (J) gene segments, resulting in an extraordinarily diverse receptor repertoire that is essential for immune surveillance and host defense.... read more

Performance validation of an artificial intelligence-assisted chest radiograph algorithm for incidental pulmonary nodule detection in Malaysian healthcare facilities: a multicentre cross-sectional study protocol.

BMJ open Mar 3, 2026

INTRODUCTION: Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant pulmonary pathology, including lung cancer. While ... read more

Highly Efficient Zinc-Based Metal-Organic Framework for Adsorptive Removal of Congo Red: Experimental Investigation and AI-Driven Validation.

Journal of chemical information and modeling Mar 3, 2026

Mitigating hazardous environmental hazards, such as organic dyes present in water, remains a pressing challenge. In this study, a highly efficient zinc-based Metal-Organic Framework (MOF) is successfully employed for the adsorptive removal of Congo R... read more

Artificial Intelligence Medical Compendium