AI Medical Compendium

Predicting dose accumulation reliability at the planning stage, with an application to adaptive proton therapy.

Physics in medicine and biology Jan 23, 2026

Objective.Online adaptive proton therapy could benefit from reoptimization that considers the total dose delivered in previous fractions. However, the accumulated dose is uncertain because of deformable image registration (DIR) uncertainties. This wo... read more

Generating synthetic MRI scans for improving Alzheimer's disease diagnosis.

Medical image analysis Jan 23, 2026

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia. Magnetic Resonance Imaging (MRI) combined with Machine Learning (ML) enables early diagnosis, but ML models often underperform when trained on sma... read more

IUGC: A benchmark of landmark detection in end-to-end intrapartum ultrasound biometry.

Medical image analysis Jan 23, 2026

Accurate intrapartum biometry plays a crucial role in monitoring labor progression and preventing complications. However, its clinical application is limited by challenges such as the difficulty in identifying anatomical landmarks and the variability... read more

Artificial Neural Network-Based prediction of production cross sections of the medical radioisotopes 67Ga and 89Zr.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine Jan 23, 2026

In this study, the excitation functions of the 67Zn(p,n)67Ga, 68Zn(p,2n)67Ga, and 89Y(p,n)89Zr reactions were investigated. Nuclear reaction simulations were performed using the TALYS 1.95 and EMPIRE 3.2 codes, by using Two Component Exciton Model, G... read more

Flavor molecules regulate appetite through the gut-brain Axis: An emerging perspective.

Food chemistry Jan 23, 2026

Bioactive flavor molecules (e.g., eugenol, cinnamaldehyde, capsaicin) regulate appetite and energy metabolism via the gut-brain axis, yet their multi-target mechanisms lack integration. This review distills three core regulatory pathways: 1. enhancin... read more

Decoding the interaction of characteristic aroma compounds in Anhui rose damascena essential oil: Utilizing odor activity values, molecular simulation, and machine learning.

Food chemistry Jan 23, 2026

Anhui Rosa damascena essential oil is renowned for its unique aroma, yet the mechanism of aroma interactions remains unclear. Using gas chromatography-mass spectrometry-olfactometry (GC-MS-O), odor activity values (OAVs), and computational methods, 3... read more

A concentration detection model combining frequency-domain physical priors and deep learning: For SO2 and NO mixed gas under NH3 interference.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 23, 2026

In the 200-230 nm ultraviolet wavelength range, there is a significant overlap in the absorption spectra of sulfur dioxide (SO2), nitric oxide (NO), and ammonia (NH3). This overlap significantly complicates the detection of SO₂ and NO concentrations.... read more

'See' through the surface: surface-derived three-dimensional AI-driven real-time imaging solution for intra-treatment image guidance.

Machine learning. Health Jan 23, 2026

Respiratory motion is a long-standing challenge for lung stereotactic body radiotherapy (SBRT), particularly for centrally located lung tumors where increased toxicity demands more precise motion management during treatment. Current two-dimensional i... read more

HelixSide: A Comprehensive Method for Local and Global Orientational Analysis of Proteins.

Journal of chemical information and modeling Jan 23, 2026

Understanding the relative orientation of protein secondary structure elements is crucial for elucidating their tertiary organization, function, and interactions. Here, we introduce HelixSide, a comprehensive method for systematically quantifying geo... read more

Smart scheduling of arthroplasty surgery with machine learning and optimisation improves operating room utilisation.

BMJ health & care informatics Jan 23, 2026

OBJECTIVES: Total hip and knee arthroplasty (THA and TKA, respectively) are effective procedures but are costly and resource intensive. As such, scheduling can have a significant impact on hospitals. The aim of this study was to evaluate the efficien... read more

Artificial Intelligence Medical Compendium