AI Medical Compendium

Machine Learning of Acoustic Voice Outcomes in Idiopathic Subglottic Stenosis.

The Laryngoscope Mar 5, 2026

OBJECTIVE: There are no objective reliable non-invasive screening tools to identify disease severity in patients with idiopathic subglottic stenosis (iSGS), a debilitating and life-threatening disease where scar tissue narrows the airway. This study ... read more

Validation of an AI Method for Automated Lymphoma Metabolic Tumor Volume Segmentation Using a Public Benchmark PET/CT Dataset.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Mar 5, 2026

The aim of this study was to evaluate the performance of an artificial intelligence (AI)-based method for automated segmentation of total metabolic tumor volume (TMTV) in 18F-FDG PET/CT scans of patients with lymphoma, using an independent, publicly ... read more

Automated interpretable artificial intelligence genomic prediction with AIGP.

Genome research Mar 5, 2026

Predicting phenotypes from genomic mutations remains a major genetic challenge. Traditional statistical methods (such as GBLUP and BayesR) have limitations, including reliance on artificial prior assumptions, and hard to capture epistatic effects. Ma... read more

Explore Thermal and Mechanical Properties of Biobased Polyurethane Elastomers Through Machine Learning Models.

Macromolecular rapid communications Mar 5, 2026

Mechanical and thermal properties are the core to determine the application scenarios of biobased polyurethane elastomers (BPUEs). Here, six core properties were studied, including Young's modulus (YM), tensile strength (TS), elongation at break (EB)... read more

Identifying patients at risk for short-term adverse events after hip arthroscopy: a machine learning analysis of a national database.

Hip international : the journal of clinical and experimental research on hip pathology and therapy Mar 5, 2026

PURPOSE: To develop and compare machine learning-based risk prediction models to identify patients at risk for short-term adverse outcomes (overnight admission, early complication, or readmission) after hip arthroscopy and to determine key predictive... read more

An algorithm for automated femoral leg length and offset calculations on pelvis radiographs.

Hip international : the journal of clinical and experimental research on hip pathology and therapy Mar 5, 2026

INTRODUCTION: Manual measurement of leg length (LL) and offset can be tedious. This study developed an automated algorithm for measuring LL and offset from pre- and postoperative AP pelvis radiographs in a large cohort of THA patients. METHODS: Using... read more

Functional Data Strengthen Clinical Validation of PhenoScore Phenotype-Guided AI for ANKRD11 Missense Variants.

Clinical genetics Mar 5, 2026

KBG syndrome (KBGS, OMIM #148050) is a rare genetic disorder caused by heterozygous truncating or missense variants in the ANKRD11 gene or a deletion of 16q24.3 involving ANKRD11. While truncating variants clearly disrupt protein function, the interp... read more

Microcomb-enabled parallel self- calibration optical convolution streaming processor.

Light, science & applications Mar 5, 2026

The exponential growth of cloud computing and artificial intelligence (AI) applications has driven an urgent need for high-bandwidth, energy-efficient hardware architectures in data centers. With Moore's Law nearing its limits, optical neuromorphic c... read more

DiNovo enables high-coverage and high-confidence de novo peptide sequencing via mirror proteases and deep learning.

Nature communications Mar 5, 2026

Despite the recent advancements driven by deep learning, de novo peptide sequencing is still constrained by incomplete peptide fragmentation and insufficient protein digestion in current single protease-based proteomic experiments. Here, we present a... read more

Optimized decomposition and deep learning with bias correction for reliable runoff point-interval prediction.

Scientific reports Mar 5, 2026

Artificial Intelligence Medical Compendium