AI Medical Compendium

Artificial Intelligence Large Language Model-Influenced Bias on Trainees and Patients in Pharmacotherapeutic Decision Making.

Pharmacotherapy Jan 12, 2026

Superior machine learning model for post-cardiac arrest mortality prediction: a MIMIC-IV cohort study.

Resuscitation plus Jan 12, 2026

BACKGROUND: Post-cardiac arrest syndrome carries substantial mortality despite advances in resuscitation. We developed a machine learning model to predict 28-day mortality using comprehensive clinical data. METHODS: We analyzed data from 1122 cardiac... read more

CTSB-positive tumor-associated macrophages shape prognosis and therapeutic response in lung adenocarcinoma.

Translational oncology Jan 12, 2026

BACKGROUND: Lung adenocarcinoma (LUAD) remains a major clinical challenge in assessment of clinical outcomes and therapeutic response. Although tumor-associated macrophages (TAMs) are known as crucial regulators of tumor progression, their heterogene... read more

C2HFusion: Clinical context-driven hierarchical fusion of multimodal data for personalized and quantitative prognostic assessment in pancreatic cancer.

Medical image analysis Jan 11, 2026

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Accurate prognostic modeling enables reliable risk stratification to identify patients most likely to benefit from adjuvant therapy, thereby facilitating individualized clinic... read more

Shap-interpretable predictive modeling of microvascular invasion and early recurrence in hepatocellular carcinoma using MRI habitat imaging combined with clinical features.

European journal of radiology Jan 11, 2026

OBJECTIVE: To develop and validate an integrated model combining Gd-EOB-DTPA-enhanced MRI habitat imaging with clinical features for preoperative prediction of microvascular invasion (MVI) and early recurrence in hepatocellular carcinoma (HCC). METHO... read more

Machine learning-based identification of factors associated with spontaneous abortion in patients with Systemic lupus erythematosus (SLE): Insights from the Egyptian College of Rheumatology (ECR)-SLE cohort.

Lupus Jan 11, 2026

BackgroundSystemic lupus erythematosus (SLE), an autoimmune disease, predominantly affects women and is associated with an increased risk of spontaneous abortion (SA). However, traditional analytical methods found a modest relationship between some f... read more

Pharmacokinetic and Pharmacodynamic Principles and Concepts Remain Relevant in the Era of Artificial Intelligence and Machine Learning.

Pharmacotherapy Jan 11, 2026

Identification of major depressive disorder based on Triple-GCN model constructed with multimodal elastic network from higher-order brain connectivity.

Psychiatry research. Neuroimaging Jan 11, 2026

Major Depressive Disorder (MDD) is the common mental health disease threatening human well-being. Several neuroimaging studies show that analyzing neural connectivity patterns improved diagnostic accuracy, though most approaches overlook node-edge in... read more

Predictive value of machine learning for mortality risk in aortic dissection: a systematic review and meta-analysis.

International journal of medical informatics Jan 11, 2026

BACKGROUND: Aortic dissection (AD) is a critical cardiovascular disorder with substantial risks of short-term mortality. Some researchers have endeavored to utilize machine learning (ML) approaches to develop predictive models for the risk of mortali... read more

A deep learning-based tool for rapid and automated detection of Cryptosporidium oocysts: A new approach for veterinary diagnostics and epizootiological surveys.

Experimental parasitology Jan 11, 2026

Cryptosporidiosis, caused by Cryptosporidium spp., is a significant zoonotic parasitic disease impacting neonatal calves, leading to severe diarrhea, dehydration, and substantial economic losses in the livestock industry. Rapid and accurate detection... read more

Artificial Intelligence Medical Compendium