AI Medical Compendium

Charting human organogenesis across the Carnegie stages from a whole-embryo perspective.

GigaScience May 28, 2026

The Carnegie stages represent a critical window in human development, during which organ primordia emerge, tissue identities diversify, and many congenital disorders are thought to originate. However, this period has remained difficult to study at th... read more

Lesion-Specific Prediction of Segmental Fractional Flow Reserve Using Deep Learning and Optical Coherence Tomography-Derived Features.

Circulation journal : official journal of the Japanese Circulation Society May 28, 2026

BACKGROUND: Intracoronary imaging-derived physiologic indices enable vessel-level assessment of coronary flow impairment by integrating obstructive plaque burden. However, accurately evaluating hyperemic flow remains challenging due to the difficulty... read more

Estimation of diameter, mass and volume of Lanzhou lily bulbs based on YOLO instance segmentation.

Scientific reports May 28, 2026

The Lanzhou lily is the only sweet lily species cultivated in China, contributing approximately 20% to Lanzhou's total agricultural output value. In recent years, lily bulbs' quality issues such as declining single-clove rates and bulb shrinkage have... read more

AI driven Hybrid CNN transformer model for early detection and severity assessment of diabetic retinopathy.

Scientific reports May 28, 2026

As the major cause of sight impairment in working age adults is diabetic retinopathy (DR) which requires timely and proper diagnosis to avoid the irreversible vision loss. Traditional retinal fundus image based manual diagnosis is time consuming, sub... read more

Deriving Clavien-Dindo Classification from Administrative Data: Development and External Validation in Hepatobiliary Surgery.

Annals of surgery May 28, 2026

INTRODUCTION: Routine electronic health records (HER)/administrative data could enable time- and cost-efficient, real-time surveillance and health-economic evaluation of hepatobiliary postoperative complications, yet no validated algorithm currently ... read more

Human factors validation study of an artificial neural network‑based preoperative decision‑support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN99301435).

BMC cancer May 28, 2026

BACKGROUND: The integration of clinical decision support tools in medical practice is challenging and must be carefully undertaken, especially in cancer management. Noninvasive Lymph Node Status (NILS) is a web-based tool designed to estimate the pro... read more

Automating genomic reanalysis: perspectives of people living with, or impacted by, a genetic, rare or undiagnosed condition.

BMC medical ethics May 28, 2026

BACKGROUND: Reanalysis - the process of re-examining a person's existing genomic data based on new knowledge or technology - has the potential to greatly increase diagnostic yield for people living with a genetic, rare or undiagnosed condition. Routi... read more

Hybrid Rational Design and Artificial Intelligence Model-driven Enhancement of Ω-Transaminase Catalytic Activity for the Production of 2-Amino-4-hydroxybutyric Acid.

Journal of agricultural and food chemistry May 28, 2026

Transaminases (TAs) play a crucial role in asymmetric synthesis, among which ω-TA exhibits a broad substrate spectrum and high enantioselectivity, albeit with limitations such as poor stability and low enzymatic activity. This study aimed to improve ... read more

Turning Compliance Into Action: An Augmented Intelligence-Enabled Framework for Advocacy Organizations to Drive Population Health Improvement.

Population health management May 28, 2026

Community Health Needs Assessments (CHNAs), mandated by the Affordable Care Act for tax-exempt hospitals, represent an underutilized yet rich data source for disease-specific advocacy. This commentary proposes a novel framework in which disease advoc... read more

Artificial Intelligence-Supported Colorimetric Multibiomarker Sensor to Enable Critical Neonatal Monitoring.

ACS sensors May 28, 2026

Clinical monitoring in the most vulnerable patients, such as newborns, relies on invasive and costly procedures and/or wired sensor surveillance, increasing discomfort and risk for undetected events. Addressing this critical need, we present a noninv... read more

Artificial Intelligence Medical Compendium