Artificial Intelligence Medical Compendium

One of the most ubiquitous and profound impacts to the delivery of healthcare over the last three decades has been the introduction of digital technologies to healthcare workflows. Electronic medical records (EMR) have moved from rare to universal. I... read more 

Artificial intelligence (AI) and machine learning (ML) models rapidly transform health care with applications ranging from diagnostic image interpretation, predictive modeling, personalized treatment planning, real-time intraoperative guidance, and o... read more 

Quorum sensing regulates cooperative behaviors in bacteria through the accumulation and detection of signaling molecules. This process plays a crucial role in various biological functions, including biofilm formation, antibiotic production, regulatio... read more 

Scientific research has revealed only a minuscule fraction of the enzymes that evolution has generated to power life's essential chemical reactions-and an even tinier fraction of the vast universe of possible enzymes. Beyond the enzymes already annot... read more 

BACKGROUND: Ideal tip projection and rotation in rhinoplasty often requires placement of caudal septal extension grafts (CSEGs). Although CSEGs are ubiquitous in rhinoplasty, there remains a lack of consensus on how laterality of placement may impact... read more 

INTRODUCTION: Skin lesion segmentation and classification is an active research area in medical imaging for the large number of reported deaths in the recent years. Early diagnosis of skin cancer is essential to decrease the death rate and increase l... read more 

The growing complexity of cancer therapeutics challenges the use of state-of-the-art computational models for drug response prediction. Design and implementation of the OmniNet-Fusion (OCR), a multi-omics deep excavating learning framework for precis... read more 

BACKGROUND: Machine learning (ML) techniques are increasingly being used in health outcome research to develop predictive models. However, ML models are often referred to as "black box models" because they lack interpretability. Our goal was to devel... read more 

-Aspect-Based Sentiment Analysis (ABSA) is considered a unique variant, which intends to identify the opinions regarding delicate topics. However, it is a neglected topic of study, ABSA attempts to find out the sentiment polarity on particular charac... read more 

The integration of artificial intelligence (AI), the rise of mega-journals, and the manipulation of impact factors present challenges to scientific integrity. These trends threaten the core principles of objectivity, reproducibility, and transparency... read more