AI Medical Compendium

Multiple machine learning models for the prediction of an early response to radioactive iodine therapy in hyperthyroidism: ablative dose concept.

Thyroid research May 6, 2026

BACKGROUND: The aim of this novel study was to explore the possibility of the development of a machine learning (ML) model that can predict early response to radioactive iodine (RAI) therapy in patients with hyperthyroidism on the basis of demographi... read more

Cumulative stress hyperglycemia ratio exposure and dynamic trajectories reveal prognostic determinants of acute hyperlipidemic pancreatitis: an 5-year cohort study.

Lipids in health and disease May 6, 2026

BACKGROUND: The stress hyperglycemia ratio (SHR) and glycemic variability (GV) both reflect acute glycemic fluctuations, with established roles in cardiovascular and stroke diseases. However, their prognostic value in acute hyperlipidemic pancreatiti... read more

Artificial intelligence in ovarian pathophysiology and management: a systematic review and meta-analysis.

Journal of ovarian research May 6, 2026

BACKGROUND: The integration of artificial intelligence (AI) into reproductive medicine and gynecologic oncology has driven transformative advances in the diagnosis, prognosis, and management of ovarian conditions, including malignancies, endocrine di... read more

Development and validation of a risk prediction model for dysglycaemia at 6-12 weeks postpartum in Chinese women with gestational diabetes: a retrospective cohort study.

Diabetology & metabolic syndrome May 6, 2026

BACKGROUND: Compared with normoglycaemic pregnancies, gestational diabetes mellitus (GDM) confers a markedly elevated risk of dysglycaemia at 6-12 weeks postpartum. OBJECTIVE: This study aimed to develop and externally validate a prediction model for... read more

Multi-omics data mining combined with experimental validation reveals ferroptosis- and autophagy-associated hub genes as diagnostic candidates and immune modulators in atherosclerosis.

Animal models and experimental medicine May 6, 2026

BACKGROUND: Atherosclerosis (AS) is a chronic inflammatory vascular disease that can lead to severe cardiovascular events. Ferroptosis and autophagy have been increasingly recognized for their significant roles in AS; however, few clinically translat... read more

Less is more? A hybrid machine learning and psychometric approach to identifying clinically relevant psychopathology in Chinese youth using the Child Behaviour Checklist.

Child and adolescent psychiatry and mental health May 6, 2026

OBJECTIVE: Screening for psychiatric risk in youth at the population level is often constrained by resource limitations and lengthy assessment tools. This study aimed to develop a reduced, psychometrically robust subset of Child Behavior Checklist (C... read more

Developing and Internally Validating AI-Based Aging Resilience Biomarkers in Non-Human Primates.

The journals of gerontology. Series A, Biological sciences and medical sciences May 6, 2026

Quantifying biological aging is crucial for understanding functional decline before the onset of morbidity. While many accelerated aging and frailty measures based on clinical data exist for humans and several for rodent models of aging, there are fe... read more

Identification of non-hydroxamate histone deacetylase 8 inhibitors using deep learning-based screening of two-dimensional molecular images.

Bioorganic & medicinal chemistry May 6, 2026

Histone deacetylase 8 (HDAC8) is a zinc-dependent enzyme that deacetylates proteins and is involved in cancer development, making its inhibition a potential anticancer strategy. Most reported HDAC8 inhibitors contain a hydroxamate zinc-binding group;... read more

Intelligent technologies in operating room nursing: A bibliometric analysis of research.

International journal of nursing studies advances May 6, 2026

BACKGROUND: The integration of intelligent technologies in operating room nursing represents a rapidly evolving field. Intelligent operating room nursing refers to the application of artificial intelligence, robotic systems, smart sensing, and data-d... read more

Enhancing fear of re-injury classification after ACL reconstruction by integrating biomechanical and electromyography data using multimodal machine learning methods.

Journal of biomechanics May 6, 2026

Fear of re-injury after anterior cruciate ligament (ACL) rupture often hinders return-to-sport and has been linked to movement patterns associated with increased injury risk. Identifying fearful individuals is thus critical. Self-reported questionnai... read more

Artificial Intelligence Medical Compendium