AI Medical Compendium

Optimizing Timeliness of Healthcare Delivery in Diagnostic Radiology at U.S. Academic Centers.

Academic radiology Apr 23, 2026

RATIONALE AND OBJECTIVES: Timely radiology access is essential for accurate diagnosis, treatment planning, and efficient care delivery. U.S. academic health centers face distinctive pressures, including workforce shortages, complex workflows, health ... read more

Speaker Identification Using Voice Quality Features: A Psychoacoustic and Machine Learning Approach.

Journal of voice : official journal of the Voice Foundation Apr 23, 2026

OBJECTIVES: This study investigated the discriminative power of psychoacoustically derived voice quality features for closed-set speaker identification. Specifically, we aimed to evaluate the extent to which these features can distinguish individual ... read more

MechanoAge, a machine learning platform to identify individuals susceptible to breast cancer based on mechanical properties of single cells.

EBioMedicine Apr 23, 2026

BACKGROUND: Emerging evidence links cellular ageing and biophysical alterations with cancer susceptibility. Existing breast cancer risk models inadequately identify individuals at latent risk, particularly among women without known genetic mutations ... read more

Leveraging large language models for metabolic engineering design.

Trends in biotechnology Apr 23, 2026

Establishing efficient cell factories involves a continuous process of trial and error due to metabolic complexity. This complexity makes predicting effective engineering targets a challenging task. Therefore, successful previous designs are vital fo... read more

The promise of AlphaFold for gene structure annotation.

Nucleic acids research Apr 23, 2026

Most new genomes lack annotation, automated methods are error-prone, and few genomes are ever manually curated due to time and cost. Protein structure predictions may offer a new route to assess and improve gene models without requiring experimental ... read more

Sidelobe suppression of Barker codes via MRH method.

Ultrasonics Apr 23, 2026

The Barker code is widely used in ultrasonic testing to enhance transmitted energy and achieve high-resolution pulse compression through a matched filter. However, the inherent sidelobe of the Barker code can obscure defect echoes under tough testing... read more

Multimodal neural operators for real-time biomechanical modelling of traumatic brain injury.

Computer methods and programs in biomedicine Apr 23, 2026

BACKGROUND: Traumatic brain injury (TBI) remains a major public health concern, with over 69 million cases annually worldwide. Accurate patient-specific biomechanical modeling is critical for injury risk assessment, but it requires integrating hetero... read more

Reply to comment on: Prediction of 9 artificial intelligence-based intraocular lens power calculation formulas in long Caucasian eyes.

American journal of ophthalmology Apr 23, 2026

Association of the neutrophil percentage-to-albumin ratio with sarcopenia in U.S. adults: Evidence from NHANES 2011-2018 and machine learning-based analyses.

Experimental gerontology Apr 23, 2026

BACKGROUND: Sarcopenia is an age-related muscle disorder driven by complex interactions between chronic inflammation and nutritional imbalance. The neutrophil percentage-to-albumin ratio (NPAR), an emerging biomarker integrating systemic inflammatory... read more

Predicting Expiration Among Potential Donation after Circulatory Death Donors at 30- and 120 Minutes Post Extubation.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Apr 23, 2026

PURPOSE: Many potential Donation After Circulatory Death (DCD) donors do not progress to circulatory death within meaningful timeframes, leading to wasted procurement resources. We therefore sought to develop robust machine learning models to predict... read more

Artificial Intelligence Medical Compendium