AI Medical Compendium

Rationale and Design of an Artificial Intelligence Model for Diastolic Heart Failure (AID- HF): A Canadian Cardiomyopathy Collaborative (C3) Study

medRxiv May 29, 2026

Diastolic heart failure (HF) in primary cardiomyopathy is under-recognized and often diagnosed late, particularly in children. While recent studies have advanced understanding of HF with preserved ejection fraction in older adults, the prevalence, ou... read more

cardiovascular medicine

Deep Learning-Based Diagnosis of Parotid Gland Tumors on CT Images: A Multi-view Approach for Preoperative Differentiation of Benign and Malignant Lesions.

Journal of stomatology, oral and maxillofacial surgery May 29, 2026

BACKGROUND: Accurate preoperative differentiation between benign and malignant parotid gland tumors is essential for guiding surgical planning and treatment decisions. However, early-stage malignant tumors often lack distinctive imaging features on c... read more

Achieving high-quality and safe compost: a study on multi-optimization of a non-linear system using machine learning.

Bioresource technology May 29, 2026

Composting represents one of the most effective strategies for animal manure utilization, while its yield efficiency and product safety are constrained by critical bottlenecks including excess nutrient loss and persistence of hazardous residues. Ther... read more

Image-driven in situ grading of compost maturity using deep feature clustering and supervised prediction.

Bioresource technology May 29, 2026

Accurate and cost-effective grading of compost maturity is critical for agronomic safety and process optimization. This study developed an image-driven in situ grading framework for compost maturity using deep feature clustering and supervised predic... read more

Development and validation of a serum microRNA biomarker panel for bovine Johne's disease.

Journal of dairy science May 29, 2026

Johne's disease (JD) is a chronic wasting disease of ruminants caused by Mycobacterium avium subspecies paratuberculosis (MAP). For decades, JD management has been hampered by the lack of a sensitive diagnostic test. Here we have developed a machine-... read more

Automated dairy cattle body condition score using side-view images and deep learning.

Journal of dairy science May 29, 2026

Body condition score (BCS) is key to assessing the health, productivity, and energy balance of dairy cows. However, traditional manual methods are time-intensive, dependent on evaluator experience, and prone to subjective biases, limiting large-scale... read more

Fluid-based biomarkers of amyotrophic lateral sclerosis: recent advances and future prospects.

Brain research May 29, 2026

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disorder with no definitive cure. The absence of specific diagnostic biomarkers leads to diagnostic delays, hindering early intervention and management. This review provides a cri... read more

Evaluation of two large language models for intensive care unit discharge decisions: a prospective observational cohort study.

Brazilian journal of anesthesiology (Elsevier) May 29, 2026

BACKGROUND: The aim of this study was to evaluate the effectiveness of two general-purpose Large Language Models (LLMs), ChatGPT and Gemini, in predicting Intensive Care Unit (ICU) discharge decisions (discharge vs. non-discharge). By comparing their... read more

External Validation of a mHealth Tool for Detecting Gingival Inflammation in Community-Dwelling Older Adults.

Journal of dentistry May 29, 2026

OBJECTIVE: This study aimed to externally validate the screening performance of a pro-social (equitable, accessible), explainable AI (XAI)-guided mobile health (mHealth) tool, GumAI, that automated the analysis of smartphone photographs to detect sig... read more

UV spectroscopy associated with machine learning as a complementary tool for the diagnosis of Ehrlichia canis in dogs.

Photodiagnosis and photodynamic therapy May 29, 2026

Canine ehrlichiosis, caused by Ehrlichia canis, is a tick-borne disease with a global distribution that significantly affects the clinical and epidemiological landscape for dogs. Although laboratory diagnosis is essential, current diagnostic methods ... read more

Artificial Intelligence Medical Compendium