AI Medical Compendium

Ethical risk prevention in client generative artificial intelligence (genAI) use: Applying the primary risk-management model.

The American psychologist May 7, 2026

As clients increasingly use generative artificial intelligence for emotional support, psychologists now deal with unfamiliar ethical challenges that go beyond conventional risk-management strategies. While generative artificial intelligence systems l... read more

A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing After Congenital Cardiac Surgery.

Pediatric cardiology May 7, 2026

Fluid overload is common after neonatal congenital cardiac surgery (CCS) and is frequently managed with continuous furosemide infusions requiring iterative dose titration. An interpretable prediction model could support more consistent early postoper... read more

Incremental diagnostic value of multiregional single-slice CT muscle areas over L3 for sarcopenia: a deep learning-based segmentation study.

Skeletal radiology May 7, 2026

OBJECTIVE: To compare the diagnostic performance of multiregional CT-based muscle assessment with conventional single-level (L3) evaluation. MATERIALS AND METHODS: This retrospective study included 83 adults who underwent multiregional non-contrast C... read more

An integrated AI-driven vaccine design process: a systematic review of workflows from generative design to translational prediction.

Immunologic research May 7, 2026

Traditional vaccine development faced significant hurdles, including lengthy timelines and high costs, which hindered rapid responses to pathogens. Although the emergence of AI offered transformative potential, the necessity for a fully integrated wo... read more

A temporal deep learning algorithm for prediction of extubation failures in critical care patients.

Journal of clinical monitoring and computing May 7, 2026

Extubation failure in ICU patients is associated with poor outcomes. Existing prediction models often rely on static data, missing dynamic disease fluctuations. This study introduces TrAcE, a deep learning-based model integrating static and temporal ... read more

Reconstruction algorithms and arm positioning effects on abdominal CT image quality and radiation dose: a phantom study.

European radiology experimental May 7, 2026

OBJECTIVE: To evaluate the effects of arm positioning and reconstruction algorithms on radiation dose and image quality of abdominal CT. MATERIALS AND METHODS: Abdominal CT scans were performed using a customized body phantom at 100 kVp with automati... read more

Artificial intelligence in periodontal disease research: a bibliometric and visualized analysis of global research trends (2007-2025).

The Saudi dental journal May 7, 2026

Periodontal disease is one of the most common diseases in stomatology. With the continuous development of artificial intelligence (AI), its integration with periodontology is rapidly evolving. However, a comprehensive bibliometric analysis mapping th... read more

Identification of RPL4 as a biomarker associated with disulfidptosis and arachidonic acid metabolism in breast cancer.

Discover oncology May 7, 2026

OBJECTIVE: Disulfidptosis is a recently discovered mechanism of cell death caused by disulfide stress. Arachidonic acid metabolism (AAM) is one of the metabolic mechanisms of polyunsaturated fatty acids. However, few studies have explored the relatio... read more

Deep learning approach for sex determination using medial clavicle histomorphology.

Anatomical science international May 7, 2026

Sex determination from skeletal remains presents significant challenges, particularly when bones are damaged or incomplete. In such cases, histomorphological analysis of fragmented bone pieces becomes essential. The medial clavicle is recognized as a... read more

Hybrid machine learning approaches outperform mechanistic models of bloom timing in Eastern Redbud, Cercis canadensis.

International journal of biometeorology May 7, 2026

Artificial Intelligence Medical Compendium