AI Medical Compendium

Diagnostic Performance of Preoperative Imaging-based Radiomics Models for Predicting Liver Metastases in Colorectal Cancer: A Systematic Review and Meta-analysis.

Academic radiology Jan 23, 2026

RATIONALE AND OBJECTIVES: To evaluate the diagnostic performance of preoperative computed tomography (CT) and magnetic resonance imaging (MRI)-based radiomics models in detecting liver metastases in patients with colorectal cancer (CRC). MATERIALS AN... read more

Organ-on-a-chip in oral medicine: Emerging approaches and applications.

Dental materials : official publication of the Academy of Dental Materials Jan 23, 2026

OBJECTIVES: Organ-on-a-chip (OoC), as a highly biomimetic microphysiological system, is demonstrating significant potential in oral medicine research and clinical application. This review outlines the latest advances and specific applications of OoC ... read more

Point-of-care ultrasound in the modern era of emergency medicine: a narrative review of the recent literature.

Current opinion in critical care Jan 23, 2026

PURPOSE OF REVIEW: Point-of-care ultrasound (POCUS) has transformed emergency medicine by providing a noninvasive, accessible, repeatable, efficient, and cost-effective imaging tool to the bedside. This article is a narrative review of the most impac... read more

Fuzzy rough set loss for deep learning-based precise medical image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 23, 2026

Accurate segmentation of medical images is crucial for diagnosis and treatment planning, yet it remains challenging due to ambiguous lesion boundaries, class imbalance, and complex anatomical structures. We propose a novel Fuzzy Rough Set-inspired (F... read more

A Multimodal Neuro-Demographic Signature for Immuno-Metabolic Depression.

Biological psychiatry. Cognitive neuroscience and neuroimaging Jan 23, 2026

BACKGROUND: The underlying neurobiology of a recently described immuno-metabolic depression (IMD) subtype of major depressive disorder (MDD), characterized by low-grade inflammation and metabolic dysregulation, remains unclear. METHODS: We integrated... read more

Predicting functional bioactivities in fermented milk using deep learning on liquid chromatography-mass spectrometry metabolomics.

Journal of dairy science Jan 23, 2026

Fermented dairy products are increasingly valued not only for their nutritional content but also for their potential health-promoting properties. However, assessing these functional benefits often requires time-consuming chemical assays that limit sc... read more

Applications of machine learning-based quantitative structure activity relationship (ML-QSAR) models in environmental science.

Environmental research Jan 23, 2026

With the exponential growth of cheminformatics data and the increasing complexity of chemical space in environmental domains, traditional quantitative structure-activity relationship (QSAR) approaches-constrained by predefined functional assumptions-... read more

Advancing Screening of Aquatic Persistent, Mobile, and Toxic Substances via Integration of Graph Convolutional Networks and Multitask Learning.

Environmental research Jan 23, 2026

The accurate identification of persistent, mobile, and toxic (PMT) substances, which are typical emerging contaminants, is critical for assessing risks to aquatic environments and safeguarding drinking water quality. Machine learning plays a signific... read more

Osteoarthritis year in review 2025: Biomechanics.

Osteoarthritis and cartilage Jan 23, 2026

OBJECTIVE: Biomechanical loading is a known contributor to osteoarthritis (OA) pathogenesis, and one of the few modifiable risk factors. Thus, research on biomechanics offers an opportunity to gain valuable insights into disease mechanisms, patient i... read more

Dosimetric assessment of deep learning based organ-at-risk segmentation: insights from the HaN-Seg challenge.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 23, 2026

BACKGROUND AND PURPOSE: To extend the previously reported geometric analysis of HaN-Seg: The Head and Neck Organ-at-Risk CT and MR Segmentation Challenge by integrating a dosimetric evaluation, thereby offering a comprehensive assessment of challenge... read more

Artificial Intelligence Medical Compendium