AI Medical Compendium

Corrigendum to 'Machine-learning survival models for predicting time to recurrence in epithelial ovarian cancer' [Gynecologic Oncology 204 (2026) 184-193].

Gynecologic oncology Mar 4, 2026

Assessment of socioeconomic and demographic risk factors for low birth weight using model-agnostic explainable ensembles.

Computer methods and programs in biomedicine Mar 4, 2026

BACKGROUND AND OBJECTIVE: Low birth weight (LBW) is a major global public health concern, strongly linked to neonatal morbidity and long-term health complications. Early prediction of LBW is essential to reduce neonatal mortality and guide targeted h... read more

Evaluation of Otolaryngology Provider Bias in Portal Messaging.

Oral oncology Mar 4, 2026

BACKGROUND/OBJECTIVES: Patient messaging portals are widely used in clinical practice and are linked to improved patient outcomes, but they are also associated with provider burnout, a phenomenon that is understood to exacerbate implicit bias. This s... read more

Natural Language Processing and Machine Learning Classification Model for Injury Mechanism in Trauma.

The Journal of surgical research Mar 4, 2026

INTRODUCTION: Creating and maintaining research databases in trauma can be resource intensive. Natural language processing (NLP) may assist by extracting structured data from free text. We aimed to develop an NLP machine-learning algorithm for classi... read more

Automated detection of pipe water leaks under paved surfaces with machine learning analysis of satellite radar data.

Journal of environmental management Mar 4, 2026

Growing water shortages from droughts and climate change make leak detection in distribution networks increasingly important. Pipeline leaks can waste large volumes of water and cause progressive damage to sourrounding infrastructure if not identifie... read more

Surgical MAchine learning model for predicting Risk of postoperative infecTions in general elective surgery (SMART): A modelling study.

International journal of antimicrobial agents Mar 4, 2026

OBJECTIVE: To apply a machine learning (ML) model that we developed and internally validated for predicting postoperative infection likelihood after elective general abdominal surgery, SMART, among 2716 patients. METHODS: The United Kingdom Health Da... read more

Neurophysiological signatures of rumination's impact on opioid withdrawal severity.

NeuroImage Mar 4, 2026

Opioid withdrawal symptoms (OWS) represent a major clinical challenge during abstinence, imposing physiological distress and increasing psychological vulnerability to relapse. Psychological factors contributing to individual differences in OWS severi... read more

Generative Artificial Intelligence: Implications for Families and Pediatricians.

Pediatrics Mar 4, 2026

Generative artificial intelligence (AI) technologies, capable of producing original text, images, audio, and video, are increasingly embedded in children's learning, play, and daily life. Pediatric clinicians and parents face the challenge of guiding... read more

Harnessing lipid-driven immunometabolic pathways in omental metastases to enhance immunotherapy in patients with ovarian cancer.

Signal transduction and targeted therapy Mar 4, 2026

Immunotherapy with immune checkpoint blockade (ICB) in epithelial ovarian carcinoma (EOC) shows limited clinical benefit only for a small subset of patients. Overall response rates are low, so that overcoming immunotherapy resistance and improved str... read more

Ensemble learning on serum metabolic fingerprints for early detection of lung adenocarcinoma.

NPJ precision oncology Mar 4, 2026

Lung adenocarcinoma (LUAD) remains a leading cause of cancer-related mortality worldwide, highlighting the urgent need for non-invasive strategies for early detection. Here, we present a machine learning-assisted metabolomics approach for the early d... read more

Artificial Intelligence Medical Compendium