AIMC Topic: Humans

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Diagnostic accuracy of radiomics in risk stratification of gastrointestinal stromal tumors: A systematic review and meta-analysis.

European journal of radiology
RATIONALE AND OBJECTIVES: This systematic review and meta-analysis aimed to assess the diagnostic accuracy of radiomics in risk stratification of gastrointestinal stromal tumors (GISTs). It focused on evaluating radiomic models as a non-invasive tool...

Physics-informed neural networks for denoising high b-value diffusion-weighted images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Diffusion-weighted imaging (DWI) is widely applied in tumor diagnosis by measuring the diffusion of water molecules. To increase the sensitivity to tumor identification, faithful high b-value DWI images are expected by setting a stronger strength of ...

Spatiotemporal dynamics of reading Kana (syllabograms) and Kanji (morphograms).

NeuroImage
Reading engages complex neural networks integrating visual, phonological, and semantic information. The dual-stream model posits ventral and dorsal pathways for lexical and sublexical processing in the left hemisphere and is well-supported in alphabe...

Role of tight junctions in three-dimensional mechanical model of blood-brain barrier.

Journal of biomechanics
The increasing prevalence of central nervous system (CNS) disorders has imposed a significant social and economic burden on healthcare systems. The blood-brain barrier (BBB) presents a major challenge for effective drug delivery to the brain, hinderi...

Codes across (life)sciences.

Bio Systems
The concept of "code" connotes different meanings, intentions, and formalizations. From mathematics and computer sciences to psychology and culture, the term becomes less formal, more diverse, and sometimes appears ambiguous. In biology a growing num...

Diffusion-based image translation model from low-dose chest CT to calcium scoring CT with random point sampling.

Computers in biology and medicine
BACKGROUND: Coronary artery calcium (CAC) scoring is an important method for cardiovascular risk assessment. While artificial intelligence (AI) has been applied to automate CAC scoring in calcium scoring computed tomography (CSCT), its application to...

Enhancing and advancements in deep learning for melanoma detection: A comprehensive review.

Computers in biology and medicine
Melanoma, although not the most common skin cancer, poses a significant global health challenge, particularly in Europe, where incidence rates are high. Traditional melanoma diagnosis through biopsies can be invasive, but advancements in artificial i...

SCAI-Net: An AI-driven framework for optimized, fast, and resource-efficient skull implant generation for cranioplasty using CT images.

Computers in biology and medicine
Skull damage caused by craniectomy or trauma necessitates accurate and precise Patient-Specific Implant (PSI) design to restore the cranial cavity. Conventional Computer-Aided Design (CAD)-based methods for PSI design are highly infrastructure-intens...

Towards markerless robot-assisted navigation with 2D-3D registration for anterior cruciate ligament reconstruction.

Computers in biology and medicine
Conventional navigation frameworks in orthopaedic surgery use optical tracking to localize objects in the surgical workspace. This approach demonstrates high precision, but requires implanting optical tracking arrays in patient anatomy, leading to in...

Screening of bioactive compounds and deep learning-driven quality control of Angong Niuhuang pills.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Angong Niuhuang Pills (AGNHP), a famous Chinese medicine compound preparation, is widely used to treat stroke and other brain disorders. However, owing to the complexity of herbal components and diversity of production...