Artificial Intelligence Medical Compendium

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

Showing 48,701 to 48,710 of 224,513 articles

GPAS: an online AI system for rapid and accurate pathogen identification and LLM-based interpretation

medRxiv Feb 20, 2026
Accurate identification of unknown pathogens is critical for medicine and public health, yet current metagenomic workflows remain heavily dependent on specialized bioinformatics expertise and manual interpretation, creating substantial bottlenecks in... read more 
public and global health

Machine Intelligence-Driven Forecasting for ED Triage and Dynamic Hospital Patient Routing

medRxiv Feb 20, 2026
Overcrowding of emergency departments (ED) is now a problem of global health care concern due to the increase in patients. Triage systems have been established for a considerable period. However, their reliability in choosing the appropriate patient ... read more 
emergency medicine

Agentic Trial Emulation to Learn Health System-specific Drug Effects At Scale

medRxiv Feb 20, 2026
Objective: Electronic Health Record (EHR)-based trial emulation can support translation of randomized clinical trial (RCT) evidence into practice, yet emulations often diverge from published RCT results. We hypothesized that these discrepancies are s... read more 
health informatics

CardioPulmoNet: Modeling Cardiopulmonary Dynamics for Histopathological Diagnosis

medRxiv Feb 20, 2026
Objective: This study investigates whether incorporating physiological coupling concepts into neural network design can support stable and interpretable feature learning for histopathological image classification under limited data conditions. Method... read more 
health informatics

Whose values are driving the design of robot swarms for humanitarian aid?

Medical humanities Feb 20, 2026
Robot swarms hold significant promise for humanitarian aid, offering scalable, autonomous solutions for search and rescue, aid delivery, and disaster response. Their ability to self-organise, adapt, and operate in hazardous or inaccessible environmen... read more 

Facial Analysis in Acromegaly Using Machine Learning: Toward Earlier Diagnosis.

The Journal of clinical endocrinology and metabolism Feb 20, 2026
CONTEXT: Acromegaly is a rare and progressive disorder often diagnosed late due to its insidious onset and gradually evolving facial features. Early detection remains a critical unmet need to reduce disease-associated morbidity and mortality. OBJECTI... read more 

Machine Learning Prediction of Recurrence in Pediatric Thyroid Cancer: Malignant Endocrine Tumors Cohort Analysis Using XGBoost and SHAP.

The Journal of clinical endocrinology and metabolism Feb 20, 2026
CONTEXT: Pediatric differentiated thyroid carcinoma (DTC) often presents with advanced disease but generally has excellent long-term survival. However, recurrence or failure to achieve remission remains relatively frequent, underscoring the need for ... read more 

Modelling Follicular Growth During Ovarian Stimulation Using Agent-based Artificial Intelligence.

The Journal of clinical endocrinology and metabolism Feb 20, 2026
CONTEXT: Ovarian stimulation is a key step in medically assisted reproduction (MAR), whereby supraphysiological doses of FSH extend the "FSH window" and induce multifollicular growth. However, only limited data exist that examine individual follicula... read more 

Assessment of GFR Estimation Methods in Patients With Obesity.

The Journal of clinical endocrinology and metabolism Feb 20, 2026
CONTEXT: Obesity is an independent risk factor for chronic kidney disease, and accurate estimation of the glomerular filtration rate (GFR) is crucial. However, limited data are available on the performance of the European Kidney Function Consortium (... read more 

Response to Pereañez et al.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists Feb 20, 2026
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