Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 63,281 to 63,290 of 230,760 articles

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

Annals of medicine
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 

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
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
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
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
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 

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

eLife
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 

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
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 

Non-invasive blood pressure monitoring using wearables for cardiovascular risk assessment: a systematic review.

Archives of gynecology and obstetrics
PURPOSE: Cardiovascular diseases are the leading causes of mortality in women worldwide, with hypertension being a major risk factor. While traditional blood pressure monitoring techniques rely on cuff-based measurements, wearable devices offer a pro... read more 

Single-cell profiling of immunogenic cell death in melanoma reveals prognostic signatures and therapeutic targets.

Discover oncology
BACKGROUND: Cutaneous melanoma is one of the most aggressive forms of skin cancer, marked by rapid progression, early metastasis, and high resistance to conventional therapies. Although targeted therapies and immune checkpoint blockade have improved ... read more 

External validation of the IHXGboost-P model to predict incisional hernia after midline laparotomy.

Hernia : the journal of hernias and abdominal wall surgery
BACKGROUND: Incisional hernia (IH) is a significant complication that occurs after midline laparotomy and is associated with high morbidity and economic impacts. A fundamental goal of preventing IH is to determine which patients are considered low- o... read more