AI Medical Compendium

Minimally invasive surgery for advanced-stage ovarian cancer: a review of evidence and emerging paradigms.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society Mar 2, 2026

Minimally invasive surgery has emerged as a promising approach to the management of advanced-stage epithelial ovarian cancer, particularly in the setting of interval debulking surgery following neoadjuvant chemotherapy. Although primary cytoreduction... read more

Artificial intelligence in treatment prediction for skeletal Class III malocclusion: A systematic review.

International journal of oral and maxillofacial surgery Mar 2, 2026

In skeletal Class III patients, treatment options range from orthodontics to orthognathic surgery. Choosing the optimal approach requires a comprehensive clinical evaluation, which may be supported by AI tools. The aim of this study was to assess the... read more

Cluster-Based MR Radiomics Model for Predicting Induction Chemotherapy Response in Nasopharyngeal Carcinoma.

Academic radiology Mar 2, 2026

RATIONALE AND OBJECTIVES: To develop a cluster-specific magnetic resonance (MR) radiomics model for predicting induction chemotherapy (ICT) response in nasopharyngeal carcinoma (NPC) with enhanced interpretability using Shapley Additive exPlanations ... read more

Prediction of Neoadjuvant Chemotherapy Efficacy for Locally Advanced Nasopharyngeal Carcinoma Using MRI-Based Deep Learning Features Combined with Vision Transformer.

Academic radiology Mar 2, 2026

RATIONALE AND OBJECTIVES: Predicting neoadjuvant chemotherapy (NACT) efficacy is vital for advanced nasopharyngeal carcinoma (LA-NPC) management. Existing models have limited generalizability. The combination of MRI-based deep learning features (DLF)... read more

18F-FDG PET/CT and receptor-positive circulating tumor cells-based machine learning model for predicting poorly differentiated lung adenocarcinoma.

Lung cancer (Amsterdam, Netherlands) Mar 2, 2026

INTRODUCTION: This study aimed to develop and validate a machine learning model that integrates radiomic features from 2-[18F]fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) with folate receptor-positive c... read more

A reliable contour detection method for volatomics analysis with comprehensive two-dimensional gas chromatography leveraging image classification and instance segmentation.

Talanta Mar 2, 2026

Comprehensive Two-Dimensional Gas Chromatography (GC × GC) provides unparalleled resolving power for volatomics profiling. However, existing contour detection methods, when applied to these complex samples, frequently suffer from false negatives due ... read more

Advancing metal organic frameworks screening and remediation condition optimization for removing persistent organic pollutant via integrated machine learning and theoretical calculation insights.

Journal of colloid and interface science Mar 2, 2026

Metal organic frameworks (MOF) have become increasingly important for removing persistent organic pollutants (POPs). However, achieving precise and rational design of MOF based composites, as well as optimizing operational conditions for real applica... read more

Machine learning-based integration of antiphospholipid antibodies for predicting pregnancy outcomes in patients with recurrent spontaneous abortion: a multicenter prospective study.

Clinical chemistry and laboratory medicine Mar 2, 2026

OBJECTIVES: Antiphospholipid antibodies (aPLs) are closely associated with recurrent spontaneous abortion (RSA) and adverse pregnancy outcomes (POs). Non-criteria aPLs may aid in diagnosing seronegative aPL-related RSA, but their limited performance ... read more

Characterization of the Sequence of Cytopenia after Total-body Irradiation using Unsupervised Machine Learning.

Radiation research Mar 2, 2026

Hematopoietic acute radiation syndrome (H-ARS) elicits multidimensional effects, as total-body irradiation (TBI) induced myelosuppression results in distinct patterns of loss and recovery across blood cell lineages. This study aimed to characterize t... read more

Telerehabilitation of chronic low back pain: protocol of a systematic review and network meta-analysis.

Systematic reviews Mar 2, 2026

BACKGROUND: Chronic low back pain (CLBP) is among the most disabling musculoskeletal disorders worldwide. Traditional in-person rehabilitation is often limited by time, geographic, and financial barriers. Telerehabilitation, which delivers personaliz... read more

Artificial Intelligence Medical Compendium