Latest AI in Medicine Research | AI Medical Compendium

Advanced deep learning framework for breast cancer detection using digital breast tomosynthesis images.

Biomedizinische Technik. Biomedical engineering Jan 12, 2026

OBJECTIVES: Early and accurate detection of breast cancer is critical for improving patient survival outcomes. This study proposes a robust deep learning-based framework for breast cancer detection using digital breast tomosynthesis (DBT) images, lev... read more

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

Pharmacotherapy Jan 12, 2026

Artificial Intelligence in Snoring Sound Analysis: OSA Detection and Obstruction Site Classification, a Systematic Review.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jan 12, 2026

OBJECTIVE: The aim of the systematic review is to evaluate the application of machine learning (ML) and artificial intelligence (AI) models in the analysis of snoring sounds for the detection of obstructive sleep apnea (OSA) and the classification of... read more

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

Analysis and regulation of baijiu aroma-active compounds: integrating metabolomics, sensory genomics, and artificial intelligence.

Food research international (Ottawa, Ont.) Jan 12, 2026

Baijiu aroma is governed by a small number of odor-active compounds present at trace or ultra-trace levels, whose formation and perception are shaped by complex microbial metabolism, physicochemical transformations, and sensory interactions. While me... read more

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

Pharmacotherapy Jan 11, 2026

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

A modern look at simplicity bias in image classification tasks.

Neural networks : the official journal of the International Neural Network Society Jan 11, 2026

Simplicity bias (SB), the tendency of neural networks to learn simpler functions, is a key factor in good generalization. Recent studies have examined SB mainly using simple models or easily controlled synthetic tasks. However, the effect of SB on ge... 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

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

Artificial Intelligence Medical Compendium

Latest research