Artificial Intelligence Medical Compendium

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

Showing 1,311 to 1,320 of 213,568 articles

Direct detection of alternative DNA conformations with long-read sequencing and machine learning approaches

bioRxiv
Progress has been made in identifying G-quadruplexes (G4s) and other non-canonical (non-B) DNA structures in live cells. However, these experiments have been limited by methodological constraints, including low resolution and specificity, and GC-sequ... read more 

Prompt Engineering Limitations: Preliminary Evaluation of Large Language Models for Psychotherapy Safety

medRxiv
Large Language Models are increasingly used in consumer-facing mental health tools, many of which claim that prompt engineering alone can ensure safe therapeutic behavior. This study evaluates that assumption by testing 20 proprietary and open-source... read more 

Spatial machine learning and longitudinal analysis of skilled antenatal care access and fertility-related inequities in Ghana (1988-2022)

medRxiv
This study focuses on the relationship between access to Advanced Neonatal Care (ANC) and fertility across the regions in Ghana between 1988 and 2022. It builds on previous studies focused on inequity in maternal health across subnational levels and ... read more 

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

International orthopaedics
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
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
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
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)
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
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
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