AI Medical Compendium

Vitiligo state assessment based on progressive transfer learning and multimodal domain adaptation.

Biomedical physics & engineering express Apr 24, 2026

Vitiligo is a common skin depigmentation disorder; assessing its state is crucial for the treatment outcome. Collecting multimodal data for vitiligo assessment is complex and costly in clinical practices, and the limited data size restricts the perfo... read more

Enhanced ResU-Net for brain tumor segmentation using EfficientNetB0, Channel Attention, and ASPP.

Biomedical physics & engineering express Apr 24, 2026

Accurate and efficient segmentation of brain tumors is critical for diagnosis, treatment planning, and monitoring in clinical practice. In this study, we present an enhanced ResU-Net architecture for automatic brain tumor segmentation, integrating an... read more

Resolving the multiscale design trade-off in bone tissue engineering: From generative design to digital twins.

Biofabrication Apr 24, 2026

The clinical translation of bone tissue engineering is constrained by a severe multiscale design trade-off: the requirement for load-bearing mechanical strength competes directly with the need for vascular-permissive porosity. Conventional approaches... read more

Extruded droplet-on-demand (X-DoD) bioprinting for controlled iPSC-based functional cortical network formation.

Biofabrication Apr 24, 2026

Engineered three-dimensional (3D) neural constructs hold significant promise for repairing neural tissue damage and recapitulating the human brain in vitro for disease modeling and drug screening applications. However, most current 3D neural models, ... read more

MMP9 as a shared immune-related gene in Alzheimer's and Huntington's diseases: a cross-tissue transcriptomic analysis.

Artificial cells, nanomedicine, and biotechnology Apr 24, 2026

Alzheimer's disease (AD) and Huntington's disease (HD) share neuroinflammatory mechanisms, yet their specific immune microenvironments remain poorly understood. Integrating transcriptomic profiles of peripheral blood and frontal cortex tissues with 2... read more

Machine learning Green's functions of strongly correlated Hubbard models.

Journal of physics. Condensed matter : an Institute of Physics journal Apr 24, 2026

We demonstrate that a machine learning framework based on kernel ridge regression can encode and predict the self-energy of one-dimensional Hubbard models using only mean-field features such as static and dynamic Hartree-Fock quantities and first-ord... read more

Omission and hallucination prevalence of clinical guidelines in diagnostic large language model outputs.

BMJ health & care informatics Apr 24, 2026

OBJECTIVE: Meaningful assessments of how large language models (LLMs) incorporate clinical guidelines require large-scale testing over many queries. Here, we evaluate the prevalence of clinical guideline omissions and hallucinations in a large sample... read more

AI-generated clinical summaries: errors and susceptibility to speech and speaker variability.

BMJ health & care informatics Apr 24, 2026

OBJECTIVES: To evaluate whether variability in patients' communication style (personality), international English-accents (human and synthetic) and speech impairments affects the accuracy of a Clinical AI Scribe (CAIS) and identify where performance ... read more

Clinician interaction with a machine learning algorithm for the assessment of patients with possible acute heart failure: a qualitative study.

Emergency medicine journal : EMJ Apr 24, 2026

BACKGROUND: Machine learning (ML) could improve clinical decisions in patients with possible acute heart failure, but few studies have evaluated acceptance, and barriers or facilitators that lead to clinician engagement with these tools. In a qualita... read more

Preliminary development of a child physical abuse algorithm using emergency department records.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Apr 24, 2026

BACKGROUND: Victims of child physical abuse (CPA) disproportionately use the emergency department, yet identifying CPA remains challenging in this setting. An urgent need to develop tools that aid providers in recognising violence-related injuries in... read more

Artificial Intelligence Medical Compendium