AIMC Topic: Humans

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Artificial intelligence for modelling infectious disease epidemics.

Nature
Infectious disease threats to individual and public health are numerous, varied and frequently unexpected. Artificial intelligence (AI) and related technologies, which are already supporting human decision making in economics, medicine and social sci...

Compression-enabled interpretability of voxelwise encoding models.

PLoS computational biology
Voxelwise encoding models based on convolutional neural networks (CNNs) are widely used as predictive models of brain activity evoked by natural movies. Despite their superior predictive performance, the huge number of parameters in CNN-based models ...

Artificial intelligence in the diagnosis of uveal melanoma: advances and applications.

Experimental biology and medicine (Maywood, N.J.)
Advancements in machine learning and deep learning have the potential to revolutionize the diagnosis of melanocytic choroidal tumors, including uveal melanoma, a potentially life-threatening eye cancer. Traditional machine learning methods rely heavi...

Research on key factors influencing Chinese designers' use of AIGC: An extension based on TAM and TRI.

PloS one
With the rapid development of AI intelligent technology, AIGC can bring an innovative revolution to art creation, providing designers with unlimited possibilities but also challenges. These challenges affect the willingness to adopt and constrain the...

Convolutional neural network for gesture recognition human-computer interaction system design.

PloS one
Gesture interaction applications have garnered significant attention from researchers in the field of human-computer interaction due to their inherent convenience and intuitiveness. Addressing the challenge posed by the insufficient feature extractio...

Accuracy and Readability of ChatGPT Responses to Patient-Centric Strabismus Questions.

Journal of pediatric ophthalmology and strabismus
PURPOSE: To assess the medical accuracy and readability of responses provided by ChatGPT (OpenAI), the most widely used artificial intelligence-powered chatbot, regarding questions about strabismus.

Profiling the gut microbiota to assess infection risk in -colonized patients.

Gut microbes
Vornhagen et al. introduced a model combining gut microbiota structure and genotype to assess infection risk in -colonized patients. Building on their findings, we investigated the gut microbiota composition and genotype in 16 colonized patients, f...

Spatial characterization of tertiary lymphoid structures as predictive biomarkers for immune checkpoint blockade in head and neck squamous cell carcinoma.

Oncoimmunology
Immune checkpoint blockade (ICB) is the standard of care for recurrent/metastatic head and neck squamous cell carcinoma (HNSCC), yet efficacy remains low. The combined positive score (CPS) for PD-L1 is the only biomarker approved to predict response ...

Optimizing cost-effectiveness in remote objective structured clinical examinations through targeted double scoring methodologies.

Medical education online
The remote Objective Structured Clinical Examination (OSCE) is a cornerstone of medical education, enabling structured and objective assessment of clinical skills, communication, and patient-centered care. However, its widespread adoption has introdu...

Wearable blood pressure sensors for cardiovascular monitoring and machine learning algorithms for blood pressure estimation.

Nature reviews. Cardiology
With advances in materials science and medical technology, wearable sensors have become crucial tools for the early diagnosis and continuous monitoring of numerous cardiovascular diseases, including arrhythmias, hypertension and coronary artery disea...