AIMC Topic: Humans

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From Pixels to Principles: A Decade of Progress and Landscape in Trustworthy Computer Vision.

Science and engineering ethics
The rapid development of computer vision technologies and applications has brought forth a range of social and ethical challenges. Due to the unique characteristics of visual technology in terms of data modalities and application scenarios, computer ...

Automated detection of steps in videos of strabismus surgery using deep learning.

BMC ophthalmology
BACKGROUND: Learning to perform strabismus surgery is an essential aspect of ophthalmologists' surgical training. Automated classification strategy for surgical steps can improve the effectiveness of training curricula and the efficient evaluation of...

PerSEveML: a web-based tool to identify persistent biomarker structure for rare events using an integrative machine learning approach.

Molecular omics
Omics data sets often pose a computational challenge due to their high dimensionality, large size, and non-linear structures. Analyzing these data sets becomes especially daunting in the presence of rare events. Machine learning (ML) methods have gai...

Artificial Intelligence Applications in Diabetic Retinopathy: What We Have Now and What to Expect in the Future.

Endocrinology and metabolism (Seoul, Korea)
Diabetic retinopathy (DR) is a major complication of diabetes mellitus and is a leading cause of vision loss globally. A prompt and accurate diagnosis is crucial for ensuring favorable visual outcomes, highlighting the need for increased access to me...

Interpretable machine learning identifies metabolites associated with glomerular filtration rate in type 2 diabetes patients.

Frontiers in endocrinology
OBJECTIVE: The co-occurrence of kidney disease in patients with type 2 diabetes (T2D) is a major public health challenge. Although early detection and intervention can prevent or slow down the progression, the commonly used estimated glomerular filtr...

Unveiling Immune-related feature genes for Alzheimer's disease based on machine learning.

Frontiers in immunology
The identification of diagnostic and therapeutic biomarkers for Alzheimer's Disease (AD) remains a crucial area of research. In this study, utilizing the Weighted Gene Co-expression Network Analysis (WGCNA) algorithm, we identified RHBDF2 and TNFRSF1...

Advancing precision rheumatology: applications of machine learning for rheumatoid arthritis management.

Frontiers in immunology
Rheumatoid arthritis (RA) is an autoimmune disease causing progressive joint damage. Early diagnosis and treatment is critical, but remains challenging due to RA complexity and heterogeneity. Machine learning (ML) techniques may enhance RA management...

The ChatGPT: Revolutionizing Research with AI.

Anais da Academia Brasileira de Ciencias
Artificial Intelligence is transforming Higher Education, achieving significant advances in different areas of knowledge. The OpenAI language model has revolutionized the world since November 2022. This study explores the potential of applying ChatGP...