AIMC Topic: Humans

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Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.

British journal of hospital medicine (London, England : 2005)
Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. However, single ultrasound examinations often result in high false-positive rates, leading to unnecessary biopsies. Artificial intelligence (AI) has dem...

Advances in molecular pathology and therapy of non-small cell lung cancer.

Signal transduction and targeted therapy
Over the past two decades, non-small cell lung cancer (NSCLC) has witnessed encouraging advancements in basic and clinical research. However, substantial unmet needs remain for patients worldwide, as drug resistance persists as an inevitable reality....

Melioidosis molecular diagnostics: An update.

Virulence
Melioidosis, a fatal tropical disease, presents a wide array of clinical manifestations, including abscesses, pneumonia, septic shock, bacteraemia, osteomyelitis, septic arthritis, and skin infection. The Centers for Disease Control and Prevention (C...

sEntIMeldCL: Enhancing explicit knowledge via Uniform-based Implicit Contrastive Mechanism for Aspect-Level Sentiment Analysis.

Neural networks : the official journal of the International Neural Network Society
Aspect-level sentiment analysis (ALSA) is a fine-grained task which consists of aspect terms and sentiment polarities within sentences. Numerous research studies only focus on the syntactical dependencies between words, ignoring the impact of negatio...

FFLUNet: Feature Fused Lightweight UNet for brain tumor segmentation.

Computers in biology and medicine
Brain tumors, particularly glioblastoma multiforme, are considered one of the most threatening types of tumors in neuro-oncology. Segmenting brain tumors is a crucial part of medical imaging. It plays a key role in diagnosing conditions, planning tre...

Areas of research focus and trends in the research on the application of AIGC in healthcare.

Journal of health, population, and nutrition
BACKGROUND: As a crucial part of current AI technology, the extent of AIGC's (Artificial Intelligence Generated Content) impact on healthcare, its potential to further drive the development of intelligent healthcare, and its ability to alleviate the ...

Artificial Intelligence in cancer epigenomics: a review on advances in pan-cancer detection and precision medicine.

Epigenetics & chromatin
DNA methylation is a fundamental epigenetic modification that regulates gene expression and maintains genomic stability. Consequently, DNA methylation remains a key biomarker in cancer research, playing a vital role in diagnosis, prognosis, and tailo...

FDTooth: Intraoral Photographs and CBCT Images for Fenestration and Dehiscence Detection.

Scientific data
Fenestration and dehiscence (FD) pose significant challenges in dental treatments as they adversely affect oral health. Although cone-beam computed tomography (CBCT) provides precise diagnostics, its extensive time requirements and radiation exposure...

From neurotoxicity to neuroprotection: Rethinking GABAR-targeting anesthetics.

Cell biology and toxicology
The brain growth spurt (BGS) represents a pivotal window in neurodevelopment, defined by rapid neurogenesis, heightened synaptogenesis, and the dynamic establishment of neural networks. During this phase, heightened brain plasticity significantly enh...

AI-driven techniques for detection and mitigation of SARS-CoV-2 spread: a review, taxonomy, and trends.

Clinical and experimental medicine
The SARS-CoV-2 RNA virus, with its rapid spread and frequent genetic changes, has posed unparalleled obstacles for public health and treatment efforts. Early diagnosis of the disease and the development of effective treatment strategies are the main ...