Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 16,791 to 16,800 of 213,633 articles

Multisource Machine Learning Model for Detecting Referral-Warranted Retinopathy of Prematurity.

Ophthalmology science May 19, 2026
PURPOSE: To develop a multisource machine learning model for detecting referral-warranted retinopathy of prematurity (RW-ROP) using retinal images and demographics. DESIGN: Secondary analysis of data from the Telemedicine Approaches to Evaluating Acu... read more 

Predicting incident type 2 diabetes using wearable activity and polygenic risk: A survival-modeling study in All of Us.

The Journal of clinical endocrinology and metabolism May 19, 2026
BACKGROUND: Evidence is limited on whether daily step counts are uniform across individuals or whether combining them with genetic risk improves prediction of type 2 diabetes (T2D), both essential for precision prevention. We aimed to assess whether ... read more 

Evaluation and enhancement of the prognostic ability of the eighth edition of TNM staging in cutaneous malignant melanoma: a population-based study, using machine learning, of 111 871 patients.

The British journal of dermatology May 19, 2026
BACKGROUND: Melanoma is the fifth most common cancer in the USA and the UK, with global incidence on the rise. The TNM staging system guides treatment decisions and predicts patients' outcomes. OBJECTIVES: To evaluate the prognostic ability of the ei... read more 

Is it ethical to develop artificial intelligence dermatology tools using data from low- and middle-income countries without ensuring access?

The British journal of dermatology May 19, 2026
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Real-world effectiveness of artificial-intelligence-assisted lesion triage on cancer waiting times.

The British journal of dermatology May 19, 2026
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ASEAF: attention-SincNet driven EEG-audio fused target speaker extraction network.

Biomedical physics & engineering express May 19, 2026
This study addresses the challenge of selective auditory attention in noisy environments by proposing an electroencephalography (EEG)-based target speaker extraction model, ASEAF, designed to mimic neural decoding through tailored spatio-temporal fea... read more 

EdgeECG: a lightweight edge-oriented network with dual criterion pruning for real-time ECG arrhythmia classification.

Physiological measurement May 18, 2026
Objective.Miniature electrocardiogram (ECG) devices can rapidly and accurately acquire real-time cardiac signals, enabling timely warnings for patients with heart disease. To achieve accurate arrhythmia classification on resource-constrained ECG edge... read more 

Designing McKibben muscles: a critical review for practical implementation.

Bioinspiration & biomimetics May 18, 2026
McKibben artificial muscles (AMs) are known as a prominent class of pneumatic actuators in soft robotics and biomechanical engineering, due to their unique structure and multifunctionality. This paper presents a comprehensive review of recent advance... read more 

Development and validation of a logistic regression model for predicting visual impairment in middle-aged and older adults with diabetes: results from the China Health and Retirement Longitudinal Study.

International journal of ophthalmology May 18, 2026
AIM: To develop and validate a clinician-friendly logistic regression prediction model for self-reported visual impairment (VI) in middle-aged and older adults (≥45y) with diabetes. METHODS: Leveraging data from the China Health and Retirement Longit... read more 

Deciphering peroxydisulfate vs. peroxymonosulfate activation by biochar catalysts via explainable machine learning.

Journal of hazardous materials May 18, 2026
Biochar (BC) activated persulfate advanced oxidation processes (PS-AOPs), employing peroxymonosulfate (PMS) and peroxydisulfate (PDS), have emerged as a promising approach for eliminating emerging contaminants from water. Nevertheless, a systematic c... read more 
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