Artificial Intelligence Medical Compendium

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

Showing 23,321 to 23,330 of 217,176 articles

Explainable and visualizable machine learning model development and validation for 5-year postoperative survival prediction in prostate cancer patients aged ≥ 65 years.

BMC geriatrics May 4, 2026
BACKGROUND: Machine Learning (ML) models have achieved outstanding performance in predicting post-surgical survival. However, the "black-box" nature of ML models restricts their clinical application. This study aims to develop and validate a clinical... read more 

AI-based prediction of dengue incidence using climatic, environmental, and socio-demographic factors: an ensemble random forest approach with agile system development.

BMC infectious diseases May 4, 2026
BACKGROUND: Dengue transmission in Indonesia is shaped by interacting climatic, environmental, and socio-demographic factors, yet most forecasting systems remain static and vulnerable to data shifts. There is a critical need for adaptive, data-driven... read more 

Interpretable machine learning for postoperative nausea and vomiting prediction in elderly orthopedic patients: a comparative study.

BMC medical informatics and decision making May 4, 2026
BACKGROUND: Postoperative nausea and vomiting (PONV) prolongs hospitalization and reduces patient satisfaction. Identifying high-risk elderly patients requires accurate absolute risk assessments, yet existing tools often lack probability calibration ... read more 

Classification of spinal tuberculous infection, pyogenic infection and spinal metastasis from magnetic resonance imaging using machine learning.

BMC musculoskeletal disorders May 4, 2026
BACKGROUND: Differentiating between spinal tuberculosis, pyogenic (bacterial) spondylitis and spinal metastasis remains a major diagnostic challenge because their radiological features often overlap. Delayed or incorrect diagnosis may lead to inappro... read more 

Erratum: Training with Artificial Intelligence: Are There Hidden Costs in Clinical Reasoning and Medical Education?

Southern medical journal May 4, 2026
[This corrects the article DOI: 10.14423/SMJ.0000000000001927.]. read more 

Improving Model Safety by Targeted Error Correction

arXiv May 4, 2026
The widespread adoption of machine learning in critical applications demands techniques to mitigate high-consequence errors. Our method utilizes a dual-classifier GBDT pipeline to distinguish routine human-like errors from high-risk non-human misclas... read more 
Artificial Intelligence cs.CV

Recurrent Deep Reinforcement Learning for Chemotherapy Control under Partial Observability

arXiv May 4, 2026
Chemotherapy dose optimization can be formulated as a dynamic treatment regime, requiring sequential decisions under uncertainty that must balance tumor suppression against toxicity. However, most reinforcement learning approaches assume full observa... read more 
Machine Learning cs.AI

Automated In-the-Wild Data Collection for Continual AI Generated Image Detection

arXiv May 4, 2026
The rapid advancement of generative Artificial Intelligence (AI) has introduced significant challenges for reliable AI-generated image detection. Existing detectors often suffer from performance degradation under distribution shifts and when encounte... read more 
Computer Vision and Pattern Recognition

Stylistic Attribute Control in Latent Diffusion Models

arXiv May 4, 2026
Text-to-image diffusion models have revolutionized image synthesis and editing, but precise control over stylistic attributes remains a challenge, often causing unintended content modifications. We propose an approach for fine-grained parametric cont... read more 
Computer Vision and Pattern Recognition

StableMind: Source-Free Cross-Subject fMRI Decoding with Regularized Adaptation

arXiv May 4, 2026
Existing cross-subject fMRI decoding methods typically train a model on multiple scanned subjects and then adapt it to a new subject using substantial paired fMRI-image data. However, in realistic scenarios, new-subject fMRI data are often limited du... read more 
Computer Vision and Pattern Recognition
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