Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 3,271 to 3,280 of 235,503 articles
Evaluating machine learning models for predicting postpartum depression symptoms using mississippi pregnancy risk assessment monitoring system (PRAMS) 2016-2022 data.
International journal of medical informatics
Oct 8, 2026
BACKGROUND: Postpartum depression (PPD) is a significant public health concern with profound effects on maternal well-being and infant development. Building a highly accurate predictive model for PPD symptoms using data-driven approaches can facilita... read more
AI assisted development of interactive multimedia modules for resident self-directed learning.
Current problems in diagnostic radiology
Oct 8, 2026
Traditional digital supplements for resident self-directed learning, such as PowerPoint slides and recorded lectures, are primarily passive and may have lower effectiveness due to limitations of the communication medium. Interactive multimedia module... read more
Comparison of patient preference for and interpretability of video-based pain-expression scenarios and the numerical rating scale for postoperative pain assessment: a prospective observational study.
Anesthesia and pain medicine
Oct 8, 2026
BACKGROUND: Postoperative pain assessment relies primarily on numeric self-report tools, such as the numerical rating scale (NRS); these tools require abstract numerical cognition and may be challenging for some patients in the immediate postoperativ... read more
A simple clinical model for predicting multiple liver histologic injuries in obese individuals undergoing bariatric surgery.
Hepatology international
Oct 8, 2026
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is common among obese individuals undergoing bariatric surgery, but liver biopsy is invasive and existing noninvasive tools generally assess single histologic features. We a... read more
Prediction of Ni and Cd contamination in agricultural soils in Lebanon using hyperspectral imaging and artificial intelligence.
Environmental science and pollution research international
Oct 8, 2026
This study evaluated hyperspectral imaging (HSI)-based prediction of nickel (Ni) and cadmium (Cd) contamination in three agricultural soils from Lebanon, classified as clayey, silty, and sandy, and developed machine learning (partial least squares re... read more
Greening computed tomography: a position paper on environmentally responsible imaging practice from the computed tomography subspecialty section of the Italian society of radiology.
La Radiologia medica
Oct 8, 2026
Healthcare accounts for 4.4-4.5% of global greenhouse gas emissions, with computed tomography (CT) representing one of the most resource-intensive and energy-demanding diagnostic modalities. Sustainability should be integrated as a core component of ... read more
Stable isotopes from Earth science to bedside medicine: beyond tracers and toward mechanistic biomarkers in medical oncology.
Medical oncology (Northwood, London, England)
Oct 8, 2026
Stable isotopes are non-radioactive variants of the same element whose small mass differences produce predictable effects in chemical and biological systems. While medicine has mainly used the administration of enriched stable isotopes as tracers of ... read more
Peritumoral ultrasound-driven multimodal AI model for predicting lymphovascular space invasion and prognosis in cervical cancer.
Abdominal radiology (New York)
Oct 8, 2026
PURPOSE: Accurate preoperative assessment of lymphovascular space invasion (LVSI) in cervical cancer (CC) remains challenging despite its importance for treatment planning and risk stratification. This study aimed to develop and evaluate a hybrid mod... read more
Beyond overall accuracy: Does an artificial intelligence model detect the neonatal pneumothoraces that matter most? Reply to Sanmoto et al.
Pediatric radiology
Oct 8, 2026
Beyond Tumor Treating Fields: Multimodal Antitumor Action and the Clinical Potential of Pulsed Electromagnetic Fields.
Current medical science
Oct 8, 2026
Pulsed electromagnetic fields (PEMFs) are a noninvasive, safe, and well-tolerated physical therapy modality with established applications in musculoskeletal disorders. Their potential role in oncology has attracted increasing interest. This review sy... read more
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