Artificial Intelligence Medical Compendium

CONTEXT: Early detection of acute leukemia (AL) is crucial for timely intervention and improved outcomes. Machine learning (ML) models provide a promising approach for early screening and rapid diagnosis of AL, minimizing delays in referral. OBJECTIV... read more 

This research examines the impact of environmental (dis)amenities on residential rental values in the urban areas of Rawalpindi and Islamabad, Pakistan. Using a unique dataset of 849 households and geospatial data on 35 irregular dumpsites, we quanti... read more 

This study investigates plastic food packaging (PFP) recycling symbols in Vietnam through field surveys, questionnaires and statistical and machine-learning models. Results show that 68.2% of shoppers correctly identified the recycling symbol, wherea... read more 

BACKGROUND AND OBJECTIVES: Social determinants of health (SDOH) are key drivers of health inequities, shaping disparities in patient outcomes that must be addressed. This study examines the association between SDOH and suspected child abuse (SCA) in ... read more 

ObjectiveTo study the implications of implementing artificial intelligence (AI) as a decision support tool in the Norwegian breast cancer screening program concerning cost-effectiveness and time savings for radiologists.MethodsIn a decision tree mode... read more 

Early-life experiences shape neural networks, with heightened plasticity during the so-called "sensitive periods" (SP). SP are regulated by the maturation of GABAergic parvalbumin-positive (PV+) interneurons, which become enwrapped by perineuronal ne... read more 

Surface-Enhanced Raman Spectroscopy (SERS) combined with machine learning offers a transformative label-free approach for colorectal cancer detection, addressing limitations of current diagnostic methods such as invasiveness, high cost, and limited a... read more 

OBJECTIVES: The study aimed to investigate the classification performance of artificial intelligence (AI) in diagnosing connective tissue diseases(CTD). This was done by analyzing laboratory data, including additional markers, in patients who tested ... read more 

Biological research is a crucial field of study, profoundly impacting every aspect of human life. The objective of this study is to utilize an innovative bibliometric analysis method to understand current research hotspots and future trends in biolog... read more 

Glycyrrhizae Radix et Rhizoma (Licorice) is a functional food, requiring accurate varieties and origin identification for authenticity. This study hypothesizes that integrating multi-source phenotypic and chemical characteristics with an optimized de... read more