Artificial Intelligence Medical Compendium

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

Showing 39,151 to 39,160 of 223,737 articles

[Correction of refractive errors by subtractive corneal surgery: History and perspectives].

Journal francais d'ophtalmologie
The goal of this review is to trace the history of refractive correction, from the earliest optical devices to modern refractive surgical techniques. Following the invention of spectacles in the Middle Ages, the first corneal procedures, such as Sato... read more 

[Imaging modalities for corneal neovascularization].

Journal francais d'ophtalmologie
Corneal neovascularization (CNV) is a frequent complication of many ocular surface diseases and represents a major threat to corneal transparency, visual function, and corneal graft survival. Accurate characterization, longitudinal monitoring, and as... read more 

Antimicrobial discovery from underexplored environments: unlocking specialized metabolism.

Current opinion in microbiology
The discovery of antibiotics transformed modern medicine and extended the average human lifespan by decades. However, the initial golden era of antibiotic discovery has significantly waned, a decline aggravated by the relentless evolution of drug res... read more 

Development and validation of an interpretable machine learning model integrating inflammatory blood biomarkers for predicting postoperative breast cancer-related lymphedema: A prospective cohort study.

Surgery
BACKGROUND: Breast cancer-related lymphedema is a frequent and debilitating complication. Early identification of high-risk individuals is critical, yet conventional risk models rarely incorporate systemic inflammatory status. METHODS: In this prospe... read more 

Optimized Complex-Valued Spatio-Temporal Graph Convolutional Networks for attention deficit hyperactivity disorder detection in pediatric EEG signals.

Computers in biology and medicine
Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental condition affecting mood, anxiety, learning, and sleep. Electroencephalogram (EEG) signals assist diagnosis, but challenges include complexity, nonlinearity, non-stationarity, ov... read more 

Artificial Intelligence-Driven Segmentation of Three Oral Diseases: Enabling Precision Diagnosis and Decision Support.

International dental journal
INTRODUCTION: The advancement of AI-assisted oral disease diagnosis critically relies on the availability of annotated, high-quality datasets and resilient deep learning architectures. Nevertheless, progress in this domain has been impeded by the sca... read more 

Predicting CT-based coronal plane knee phenotype parameters using imageless navigation and machine learning.

The Knee
BACKGROUND: Coronal plane alignment of the knee (CPAK) categorizes knee phenotypes according to joint line obliquity (JLO) and the arithmetic hip‒knee‒ankle angle (aHKA). CPAK is traditionally measured via long leg radiographs, but recently other mod... read more 

Overall risk of cancer incidence attributable to adult body CT examinations: impact of a seven-year continuous quality improvement program.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
OBJECTIVES: To estimate the impact of a continuous dose reduction and quality improvement program on radiation-induced cancer risk in adult computed tomography (CT). METHODS: Between 2016 and 2022, the retrospective cohort study involved four phases:... read more 

Genome-wide detection of human 5' UTR variants that impact protein translation.

American journal of human genetics
The 5' untranslated region (5' UTR) of messenger RNAs (mRNAs) plays a central role in regulating protein synthesis initiation, particularly through the Kozak sequence and upstream open reading frames (uORFs). Genetic variants within these regulatory ... read more 

Integrated Implementation Strategies to Promote the Use of AI-Assisted Diagnostic Software for Lung Nodule Screening in China: Process Evaluation Based on the RE-AIM Framework.

JMIR formative research
BACKGROUND: While artificial intelligence (AI)-assisted diagnostic software holds promise for improving diagnostic efficiency and reducing disparities in health care delivery, its effective implementation in lower-tier health care settings remains li... read more