AIMC Topic: Humans

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Organizing Telemonitoring-Decision-Making Between Centralized and Distributed Models in the Netherlands, Using the Non-Adoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework: Case Study.

JMIR medical informatics
BACKGROUND: Telemonitoring can be implemented using either centralized or distributed organizational models. However, few published studies explore which conditions make one model preferable over the other, or how to choose between these two.

A Vision-Language-Guided Multimodal Fusion Network for Glottic Carcinoma Early Diagnosis: Model Development and Validation Study.

JMIR medical informatics
BACKGROUND: Early diagnosis and intervention in glottic carcinoma (GC) can significantly improve long-term prognosis. However, the accurate diagnosis of early GC is challenging due to its morphological similarity to vocal cord dysplasia, with the dif...

Opportunistic screening of low bone mass using knowledge distillation-based deep learning in chest X-rays with external validations.

Archives of osteoporosis
UNLABELLED: Low bone mass (LBM), which can lead to osteoporosis, is often undetected and increases the risk of bone fractures. This study presents OsPenScreen, a deep learning model that can identify low bone mass early using standard chest X-rays (C...

Automatic segmentation of male pelvic floor soft tissue structures for anatomical simulation and morphological assessment in lower rectal cancer surgery.

Techniques in coloproctology
BACKGROUND: Pelvic anatomy is a complex network of organs that varies between individuals. Understanding the anatomy of individual patients is crucial for precise rectal cancer surgeries. Therefore, developing technology that can allow visualization ...

Virtual contrast-enhanced maximum intensity projections from high-b-value diffusion-weighted breast MRI: a feasibility study.

European radiology experimental
BACKGROUND: Maximum intensity projections (MIPs) facilitate rapid lesion detection both for contrast-enhanced (CE) and diffusion-weighted imaging (DWI) breast magnetic resonance imaging (MRI). We evaluated the feasibility of AI-based virtual CE subtr...

Revisiting Challenges in Real-world Video Colonoscopy using End-to-End Two Stream Polyp Detection Transformer (TS-PDTR).

Journal of medical systems
Accurate polyp detection is essential for the early diagnosis and effective treatment of colorectal cancer (CRC). However, colonoscopy videos in real-world clinical settings present significant challenges, often causing existing algorithms to fail. C...

Spatial proteomics for investigating solid tumor resistance mechanisms.

Cancer metastasis reviews
Spatial proteomics technologies have been pivotal in profiling tumor immune microenvironments at single-cell resolution, advancing our understanding of cancer biology, identifying key cell populations in solid tumors, and predicting treatment respons...

High-content high-resolution microscopy and deep learning-assisted analysis reveals host and bacterial heterogeneity during infection.

eLife
is a Gram-negative bacterial pathogen and causative agent of bacillary dysentery. is closely related to but harbours a virulence plasmid that encodes a type III secretion system (T3SS) required for host cell invasion. Widely recognised as a paradi...

Overcoming resistance to anti-PD-L1 immunotherapy: mechanisms, combination strategies, and future directions.

Molecular cancer
Cancer cells express high levels of programmed cell death-ligand 1 (PD-L1) to evade immune surveillance. PD-L1 interacts with PD-1 on T cells to make them non-functional. Thus, PD-L1 and PD-1 are pivotal targets in cancer immunotherapy. While anti-PD...

Optimized hybrid RNN-GRU model for predictive diagnosis of cardiovascular disease.

Biomedical physics & engineering express
Cardiovascular disease (CVD) continues to be the leading cause of death for individuals all over the globe, and India bears a disproportionate share of the burden associated with this condition. A hybrid deep learning model that combines Recurrent Ne...