Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 225,062 articles

Diagnostic accuracy of AI-augmented renal ultrasound for degenerative kidney disorders: a systematic review and meta-analysis.

Future science OA Sep 11, 2026
INTRODUCTION: This systematic review and meta-analysis evaluated artificial intelligence (AI) and radiomics applied to renal ultrasound for the diagnosis, staging, and prognosis of degenerative kidney disorders. METHODS: PubMed/MEDLINE, Embase, Scopu... read more 

Automated Cortical Thickness Index Measurement in Pelvic Radiographs Using a Multi-Stage Deep Learning Framework.

Journal of imaging informatics in medicine Sep 10, 2026
The Cortical Thickness Index (CTI) measured on hip radiographs is a practical indicator of femoral bone quality and may assist osteoporosis screening and preoperative orthopedic planning. However, manual CTI measurement is time-consuming and subject ... read more 

Integrating Artificial Intelligence with Spectrophotometry: A Novel Python Framework for Automated Green Assessment and Pharmaceutical Analysis.

Analytical biochemistry Sep 10, 2026
Integrating artificial intelligence (AI) into green analytical chemistry offers new opportunities for rapid, objective, and reproducible sustainability assessment. In this work, we developed an AI-assisted, Python-based platform for automated, multi-... read more 

Concordance Between a Generative Artificial Intelligence Model and a Hepatobiliary Multidisciplinary Team in Hepatocellular Carcinoma Management: A Retrospective Study.

Annals of surgical oncology Sep 10, 2026
BACKGROUND: The management of hepatocellular carcinoma (HCC) relies on decisions formulated by a multidisciplinary team (MDT). Generative artificial intelligence (AI) models are increasingly explored as decision-support tools. This study aimed to ass... read more 

Deep Learning Segmentation of Abdominal Organs Across Ultrasound, MRI, and CT: A Scoping Review of Modality-Specific Approaches and the Emerging Role of Foundation Models and LLM-Based Agents.

Journal of imaging informatics in medicine Sep 10, 2026
Segmentation of the liver, kidneys, and pancreas underpins volumetry, treatment planning, and disease monitoring across ultrasound (US), magnetic resonance imaging (MRI), and computed tomography (CT). Deep learning has advanced through four waves-con... read more 

Fundamentals of Osteoarthritis 2026: Imaging.

Osteoarthritis and cartilage Sep 10, 2026
OBJECTIVE: Osteoarthritis (OA) is the most frequent form of arthritis with major implications on both individual and public health care levels. The field of joint tissue imaging, particularly magnetic resonance imaging (MRI) and computed tomography (... read more 

Cross-modal interactive fusion framework for preoperative histological grading of hepatocellular carcinoma.

Physics in medicine and biology Sep 10, 2026
Purpose ： Deep learning has shown great promise in medical image analysis, yet challenges remain in histological grading of hepatocellular carcinoma (HCC), particularly in effectively integrating multimodal features and enhancing model generalizabili... read more 

Validation of Artificial Intelligence-based Non-gated Chest CT for Coronary Artery Calcium Scoring Across Multiple CT Scanners.

Journal of imaging informatics in medicine Sep 10, 2026
This study aims to validate the performance of artificial intelligence (AI)-based non-gated chest computed tomography (CT) for quantification and risk stratification of coronary artery calcification across multiple CT scanners. Patients who underwent... read more 

4D spatiotemporal landscape of mitochondrial phenotypes across cellular states unlocked through representation learning.

Cell Sep 10, 2026
Mitochondria are four-dimensional (4D: x, y, z, and time) organelles essential for cellular function. Characterizing their 4D phenotypic landscape across diverse cellular states requires both 4D imaging and analytical frameworks. We present MitoSpace... read more 

A machine learning approach to estimating nitrate-nitrogen concentrations in shallow groundwater across New Zealand.

Chemosphere Sep 10, 2026
Nitrate contamination of shallow groundwater is a concern for drinking water safety and ecosystem health globally, yet national-scale prediction techniques remain limited. Here, we describe the development and evaluation of an ensemble machine learni... read more 
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