AI Medical Compendium

Risk inventory and mitigation actions for AI in medical imaging-a qualitative study of implementing standalone AI for screening mammography.

BMC health services research Jul 30, 2025

BACKGROUND: Recent prospective studies have shown that AI may be integrated in double-reader settings to increase cancer detection. The ScreenTrustCAD study was conducted at the breast radiology department at the Capio S:t Göran Hospital where AI is ... read more

Affordable Automated Modules for Lab-Scale High-Throughput Synthesis of Inorganic Materials.

Chemistry (Weinheim an der Bergstrasse, Germany) Jul 30, 2025

The development of sustainable advanced materials is increasingly driven by the need for sustainable, faster, scalable, and more efficient research workflows. Advancements in computational screening, high-throughput experimentation, and artificial in... read more

Cornerstones are the key stones: using interpretable machine learning to probe the clogging process in 2D granular hoppers.

Soft matter Jul 30, 2025

The sudden arrest of flow by formation of a stable arch over an outlet is a unique and characteristic feature of granular materials. Previous work suggests that grains near the outlet randomly sample configurational flow microstates until a clog-caus... read more

A scoping review of artificial intelligence applications in clinical trial risk assessment.

NPJ digital medicine Jul 30, 2025

Artificial intelligence (AI) is increasingly applied to clinical trial risk assessment, aiming to improve safety and efficiency. This scoping review analyzed 142 studies published between 2013 and 2024, focusing on safety (n = 55), efficacy (n = 46),... read more

Establishment of predictive models for postoperative delirium in elderly patients after knee/hip surgery based on total bilirubin concentration: machine learning algorithms.

BMC anesthesiology Jul 30, 2025

BACKGROUND: With the aging demographic on the rise, we're seeing a spike in the occurrence of postoperative delirium (POD). Our research aims to delve into the connection between plasma bilirubin levels and postoperative delirium, with the goal of cr... read more

Humans Machine Learning Algorithms Female Aged Aged, 80 and over Male Postoperative Complications Predictive Value of Tests Delirium Arthroplasty, Replacement, Knee Bilirubin Arthroplasty, Replacement, Hip

High-Speed Design of Multiplexed Meta-Optics Enabled by Physics-Driven Self-Supervised Network.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 30, 2025

The artificial intelligence (AI) can accelerate the meta-optics design by rapidly predicting the transmission coefficients of individual meta-atoms. However, extensive optimization iterations are usually required to complete the desired metasurface c... read more

MentalAId: an improved DenseNet model to assist scalable psychosis assessment.

BMC psychiatry Jul 30, 2025

BACKGROUND: The escalating mental health crisis during and post-COVID-19 underscores the urgent need for scalable, timely, cost-effective assessment solutions for general psychotic disorders. Regretfully, traditional symptom-based, one-to-one assessm... read more

Humans Neural Networks, Computer COVID-19 Female Young Adult Adult Male Middle Aged Convolutional Neural Networks Psychotic Disorders

Can Artificial Intelligence Replace Human Peer Review in Cardiovascular Journals?

Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir Jul 30, 2025

Physics-informed neural networks for physiological signal processing and modeling: a narrative review.

Physiological measurement Jul 30, 2025

Physics-informed neural networks (PINNs) represent a transformative approach to data models by incorporating known physical laws into neural network training, thereby improving model generalizability, reduce data dependency, and enhance interpretabil... read more

Humans Neural Networks, Computer Signal Processing, Computer-Assisted Physiological Phenomena

Radiation enteritis associated with temporal sequencing of total neoadjuvant therapy in locally advanced rectal cancer: a preliminary study.

Radiation oncology (London, England) Jul 30, 2025

BACKGROUND: This study aimed to develop and validate a multi-temporal magnetic resonance imaging (MRI)-based delta-radiomics model to accurately predict severe acute radiation enteritis risk in patients undergoing total neoadjuvant therapy (TNT) for ... read more

Humans Prognosis Retrospective Studies Female Aged Adult Male Middle Aged Neoadjuvant Therapy Support Vector Machine Magnetic Resonance Imaging Enteritis Rectal Neoplasms Radiation Injuries

Artificial Intelligence Medical Compendium