AI Medical Compendium

RE: Can artificial intelligence "speak" spinal cord injury?

The journal of spinal cord medicine Jan 16, 2026

Machine Learning-Based Bias-Corrected Future Projections of Ozone Concentrations from a Chemistry-Climate Model.

Environmental science & technology Jan 16, 2026

Reliable projections of future surface ozone are crucial for air quality management and health risk assessment. However, potential biases in spatial distribution, magnitude, and trends in ozone simulated by global chemistry-climate models limit their... read more

Response to the Letter to the Editor, RE: A comparative study of ChatGPT and DeepSeek in spinal cord injury patient education: Can artificial intelligence "Speak" spinal cord injury?

The journal of spinal cord medicine Jan 16, 2026

Construction of a diagnostic model for tuberculosis based on long non-coding RNA.

Annals of medicine Jan 16, 2026

BACKGROUND: The World Health Organization encourages the development of novel diagnostic tools based on 'non-sputum' samples to meet global goals for tuberculosis (TB) control. We aimed to develop a machine learning-driven model for TB diagnosis, usi... read more

Middle Aged Biomarkers RNA, Long Noncoding Tuberculosis Leukocytes, Mononuclear Adult Latent Tuberculosis Female Male Gene Expression Profiling ROC Curve Case-Control Studies Humans Algorithms Machine Learning

Fabrication of NbC/GaN Nanofilm Sensor via Photolithography and its Investigation as a Sensor for Trimethylamine Mixed Gas Detection Using Dual-Feature Extraction and Deep Learning.

ACS sensors Jan 16, 2026

In this study, we successfully synthesized NbC nanofilms on the GaN surface, and a more uniform size and thinner thickness of NbC were optimized by further fabricating circular hole arrays on GaN epitaxial wafers using photolithography and etching te... read more

Ethical and Regulatory Considerations for Artificial Intelligence Adoption in Craniofacial Surgery.

The Journal of craniofacial surgery Jan 16, 2026

Artificial intelligence (AI) continues to enhance surgical care, with growing applications in craniofacial surgery, including automated cephalometric analysis, diagnostics for craniosynostosis, virtual surgical planning, perioperative decision suppor... read more

AI-Based CT Image Recognition With Med-Gemini-3D in the Diagnosis of a Rare Craniofacial Condition: A Catlin Mark Skull.

The Journal of craniofacial surgery Jan 16, 2026

Artificial intelligence (AI) is increasingly applied in diagnostic imaging to enhance pattern recognition and support clinical decision-making. In 2024, Google introduced Med-Gemini-3D, a multimodal platform capable of interpreting 3-dimensional comp... read more

Development and external validation of an interpretable machine learning-based model for obesity risk prediction in 2-18-year-old children and adolescents in Beijing and Tangshan.

Journal of global health Jan 16, 2026

BACKGROUND: The multifactorial mechanisms driving childhood obesity, a global public health challenge, are yet to be fully elucidated. We aimed to develop and externally validate three widely applied machine learning models alongside logistic regress... read more

Adolescent Child, Preschool China Machine Learning Pediatric Obesity Female Beijing Risk Factors Humans Risk Assessment Logistic Models Male Child

Stratification of viral shedding patterns in saliva of COVID-19 patients.

eLife Jan 16, 2026

Living with COVID-19 requires continued vigilance against the spread and emergence of variants of concern (VOCs). Rapid and accurate saliva diagnostic testing, alongside basic public health responses, is a viable option contributing to effective tran... read more

Male Middle Aged Adult Saliva Virus Shedding RNA, Viral Viral Load Female Aged SARS-CoV-2 Humans COVID-19

Identification and validation of PANX1 as an inflammasome-related biomarker in gestational diabetes mellitus: insights from machine learning and experimental approaches.

Mammalian genome : official journal of the International Mammalian Genome Society Jan 16, 2026

Gestational diabetes mellitus (GDM) is characterized by glucose intolerance during pregnancy, resulting from insulin resistance, and is associated with increased maternal and neonatal risks. Inflammasomes play a critical role in GDM pathophysiology b... read more

Connexins Humans Biomarkers Machine Learning Placenta Nerve Tissue Proteins Diabetes, Gestational Inflammasomes Female Pregnancy Adult

Artificial Intelligence Medical Compendium