AI Medical Compendium

Predicting postoperative coronal imbalance in Lenke 1/2 adolescent idiopathic scoliosis: A machine learning model with clinical interpretability.

International orthopaedics Jul 18, 2026

OBJECTIVES: Selective posterior thoracic fusion (sPTF) for Lenke 1/2 adolescent idiopathic scoliosis (AIS) aims to reconcile multi-planar correction with motion preservation. Nevertheless, postoperative coronal imbalance (CIB) frequently compromises ... read more

Machine learning meets ecology: XGBoost-based prediction of endangered species habitats using multi-source environmental data.

Environmental monitoring and assessment Jul 18, 2026

Buxus hyrcana, an endangered and ecologically significant tree species of the Hyrcanian forests, faces severe threats from climate change, land-use pressures, and habitat degradation. Accurate prediction of its potential distribution is therefore cri... read more

Comprehensive plant disease classification and severity estimation for sustainable farming via automatic segmentation and multi-scale feature fusion.

BMC plant biology Jul 18, 2026

Detecting plant leaf diseases at an early stage is one of the most important requirements for sustainable agriculture, increasing crop productivity, and achieving the global Sustainable Development Goals (SDGs). However, accurately recognizing them i... read more

Associations of employment status with social media addiction, anxiety, and parenting self-efficacy among mothers of infants: a cross-sectional study using machine learning.

BMC public health Jul 18, 2026

BACKGROUND: Differences in social media addiction, anxiety, and parenting self-efficacy according to maternal employment status have important implications for maternal and child public health. However, evidence comparing these psychosocial outcomes ... read more

Predicting breast cancer pathological complete response with clinical and imaging data.

Future oncology (London, England) Jul 18, 2026

INTRODUCTION: Pathological complete response (pCR) is a key prognostic indicator in breast cancer (BC) patients receiving neoadjuvant chemotherapy (NAC). Unimodal prediction models are limited, underscoring the need for multimodal machine learning ap... read more

Immune Repertoire Profiling Reveals Distinct Adaptive Immune Signatures of Dampness ZHENG Across Psoriasis, Rheumatoid Arthritis and Ulcerative Colitis.

Cell proliferation Jul 18, 2026

Autoimmune diseases, including psoriasis (Ps), rheumatoid arthritis (RA) and ulcerative colitis (UC), pose significant health burdens worldwide. A more refined classification of these diseases is essential for enabling targeted therapeutic strategies... read more

UK recommendations for Ki-67 immunohistochemical staining and interpretation in breast cancer.

Histopathology Jul 18, 2026

Ki-67 is a well-established marker of tumour proliferation and an important prognostic and predictive biomarker in breast cancer, particularly in hormone receptor-positive (HR-positive), HER2-negative disease. Despite its biological relevance, clinic... read more

RT2C: Predicting Time-to-New Caries with Structured Dental Data Using RNN.

Journal of dental research Jul 18, 2026

Dental caries is a highly prevalent chronic condition requiring accurate tools to identify at-risk patients and guide preventive care. Most existing caries risk models provide only binary predictions and overlook time-to-event information. Considerin... read more

Controllable Panoramic Radiograph Synthesis Using a Generative Model.

Journal of dental research Jul 18, 2026

Panoramic radiography (PR) is the one of the most widely prescribed diagnostic imaging modalities in dentistry. Achieving clinical-level automated interpretation of PR is critical for improving diagnostic efficiency, reducing radiologist workload, an... read more

Mapping Non-Homologous Pocket Compatibilities to Identify Hidden Drug-Target Relationships: A Pocket Hopping Framework.

Journal of medicinal chemistry Jul 18, 2026

Predicting small molecule-protein interactions across nonhomologous proteins remains challenging because shared ligand recognition is often not evident from sequence, fold, or pocket similarity. Here, we introduce pocket hopping, a machine-learning f... read more

Artificial Intelligence Medical Compendium