AI Medical Compendium

Supervised Machine Learning and Graph Neural Networks to Predict Collision Cross-Section Values of Aquatic Dissolved Organic Compounds.

Journal of the American Society for Mass Spectrometry Jan 8, 2026

Accurate prediction of Collision Cross-Section (CCS) values is essential for identifying molecular structures in complex environmental mixtures. This study integrates supervised machine learning and deep learning to predict CCS values for a diverse a... read more

UltraMN: Advancing Real-Time Median Nerve Ultrasound Monitoring With a Multitask Deep Learning Framework.

Ultrasound in medicine & biology Jan 8, 2026

OBJECTIVE: This study aims to develop an advanced deep learning framework to overcome the challenges associated with real-time ultrasound monitoring of the median nerve. METHOD: We propose UltraMN, a novel multitask learning model integrating standar... read more

Guidelines needed for the use of AI in the preparation or review of IRB, IBC, and IACUC applications.

Accountability in research Jan 8, 2026

Three oversight bodies review research proposals to help ensure the safe and responsible conduct of biomedical research, each focusing on unique aspects of research ethics: institutional review boards (IRBs), institutional biosafety committees (IBCs)... read more

Automatic measurement and evaluation of anterior segment anatomical structures via UBM images using a deep learning-based approach.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jan 8, 2026

PURPOSE: To develop a deep-learning model capable of measuring essential anterior segment (AS) parameters derived from preoperative ultrasound biomicroscopy (UBM) images of candidates for implantable collamer lens (ICL) surgery. SETTING: Tianjin Medi... read more

Uncovering the potential of pathomics: prognostic prediction and mechanistic investigation of pancreatic cancer.

The Journal of pathology Jan 8, 2026

A machine learning-based pathomics model was investigated for its value and biological significance in predicting overall survival (OS) after surgery in pancreatic cancer patients. Data from 173 patients with pancreatic ductal adenocarcinoma (PDAC) w... read more

Programmable Triboelectric Origami Sensors for Multidimensional Pressure Monitoring.

Nano letters Jan 8, 2026

Sensors with multidimensional pressure sensing capabilities have attracted extensive interest for applications in wearable electronics and human-computer interaction. However, conventional film-based materials struggle to achieve directional stress p... read more

Haplotype-resolved genome reveals allele-aware epigenetic and 3D chromatin regulation of heterosis in the tea hybrid.

The New phytologist Jan 8, 2026

Heterosis, widely used in plant breeding to enhance yield and quality, is not yet fully understood at the allelic level, particularly in woody plants such as Camellia sinensis, the tea plant. In this study, the first haplotype (HA)-resolved genome of... read more

Diagnostic Accuracy of Artificial Intelligence in Detecting Pleural Effusion on Ultrasound Imaging: A Systematic Review and Meta-Analysis.

Journal of clinical ultrasound : JCU Jan 8, 2026

Artificial intelligence (AI) interpretation of ultrasound (US) images is promising, yet its accuracy in diagnosing pleural effusions remains unclear. We conducted a comprehensive database search which identified 84 studies, of which 6 met eligibility... read more

Phase Model-Driven Deep Learning for Robust Phase Correction in High-Throughput NMR-Based Metabolomics.

The journal of physical chemistry letters Jan 8, 2026

High-throughput NMR, a key metabolomics tool, enables efficient, noninvasive profiling of large biological samples. Automatic data processing ensures scalable, consistent high-throughput NMR. A key workflow step is phase correction, critical for obta... read more

Predictors of Outcome Clusters in Patients With Unruptured Intracranial Aneurysms Treated With Microsurgery: An Unsupervised Machine Learning Analysis.

Neurosurgery practice Jan 8, 2026

BACKGROUND AND OBJECTIVES: Identifying surgical candidates who are prone to poor outcomes is crucial for adapting treatment and ensuring optimal outcomes. Our aim was to use unsupervised machine learning to reveal patient outcome subgroups and identi... read more

Artificial Intelligence Medical Compendium