AI Medical Compendium

An echo from the past: open access repository of over 10,000 annotated Doppler audio recordings of venous gas emboli.

Diving and hyperbaric medicine Mar 31, 2026

INTRODUCTION: Doppler ultrasound measurements have been recorded since the 1970s across the world and provide a valuable data resource for learning, analysis, and potential training of deep learning algorithms to recognise and grade venous gas emboli... read more

Correlation between human expert macular fluid height assessment and fluid volume quantification in neovascular age-related macular degeneration.

Scientific reports Mar 31, 2026

To investigate the association between manually measured retinal fluid heights and AI-quantified retinal fluid volumes and to explore disease activity indicated by fluid volume distributions in neovascular age-related macular degeneration (nAMD) usin... read more

Computer vision models for precision poultry farming: A narrative review of behavioral and welfare monitoring studies.

Poultry science Mar 31, 2026

This narrative review with structured literature screening combines comprehensive research on the rapid adoption of object detection computer vision models, particularly "You Only Look Once" (YOLO), used alone or in conjunction with other machine lea... read more

Maximum total correntropy-based broad learning system with robust M-estimator.

Neural networks : the official journal of the International Neural Network Society Mar 31, 2026

Although the broad learning system (BLS) and its existing robust variants have been widely applied in various fields due to their excellent performance, they still cannot effectively handle noise present in the input data of training samples, which m... read more

A CT-based model integrating deep learning features radiomics and body composition for preoperative prediction of microsatellite instability in colorectal cancer: a multicenter study.

European journal of radiology Mar 31, 2026

OBJECTIVES: The precise prediction by MSI plays a key role in the perioperative treatment and prognosis of colorectal cancer (CRC) patients. This study seeks to establish an interpretable deep learning radiomics model using enhanced CT images to impr... read more

IDGSA-DRIU-Net: Internal dilated guided self-attention renal mass segmentation model based on dilated residual inception U-Net.

Computational biology and chemistry Mar 31, 2026

Computed tomography (CT) is essential for finding and diagnosing kidney tumors and cysts because good lesion segmentation enables accurate diagnosis, appropriate therapy planning, and disease monitoring. Renal mass (Tumor and cyst) shapes and sizes a... read more

OpEffiRes Net: Optimization based EfficientNetB0-ResNet50 and correlation based feature selection for software failure prediction.

Computational biology and chemistry Mar 31, 2026

Software Failure Prediction (SFP) includes estimating the probability that a software system will fail during its operational period. Its primary goal is to recognize components that are prone to defects or time intervals when failures are more proba... read more

Socio-technical risks of clinical speech-to-text systems: Transparency, privacy, and reliability challenges in AI-driven documentation.

International journal of medical informatics Mar 31, 2026

BACKGROUND: AI-driven speech-to-text (STT) documentation systems are increasingly adopted in clinical settings to reduce documentation burden and improve workflow efficiency. However, adoption has outpaced the systematic evaluation of socio-technical... read more

Dynamic machine learning prediction of persistent AKI after cardiac surgery with modifiable perioperative risk factors.

iScience Mar 31, 2026

Early identification and prevention of persistent acute kidney injury (pAKI) remain challenging due to delayed biochemical markers and limited tools to differentiate between transient and persistent forms. We retrospectively analyzed data of 2,285 pa... read more

Recreational Activities and Youth Outcomes: An Explainable Machine Learning Study.

JAACAP open Mar 31, 2026

OBJECTIVE: Recreational activities are considered vital for emotional and cognitive health of youth, yet empirical research examining the specific associations between recreational activities and youth behavioral and cognitive outcomes is limited. ME... read more

Artificial Intelligence Medical Compendium