AI Medical Compendium

A proof-of-principle study of tractography-based machine learning for predicting transcranial magnetic stimulation motor responsiveness.

Journal of neuroscience methods May 13, 2026

BACKGROUND: Identifying the brain stimulation target is fundamental for transcranial magnetic stimulation (TMS). Currently, this process is time-consuming and heavily dependent on the operator's expertise. Here, we present a proof-of-principle study ... read more

Multimodal artificial intelligence in retinopathy of prematurity: A comprehensive narrative review.

Survey of ophthalmology May 13, 2026

Retinopathy of prematurity (ROP) remains a leading cause of preventable childhood blindness globally, particularly in regions with limited screening resources. Traditional diagnosis relying on subjective interpretation of fundus images faces challeng... read more

Underperformance of Machine Learning Algorithms Predicting Extended Lengths of Stay and Readmission in Underrepresented Patient Cohorts After Primary Total Hip Arthroplasty.

The Journal of arthroplasty May 13, 2026

BACKGROUND: The demand for total hip arthroplasty (THA) is increasing, yet disparities in access and outcomes persist across racial, ethnic, and socioeconomic groups. Machine learning (ML) models can aid in predicting THA complications such as prolon... read more

Deep learning for detection and automatic visualization of radiation-induced temporal lobe injury in nasopharyngeal carcinoma across endemic and non-endemic areas in China.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology May 13, 2026

PURPOSE: Detection of radiation-induced temporal lobe injury (RTLI) at the earliest radiologically detectable stage is important for timely intervention in nasopharyngeal carcinoma but remains challenging due to subtle MRI findings. This study aimed ... read more

Cellular Senescence as a Systems-Level Driver of Cardiovascular Ageing.

Ageing research reviews May 13, 2026

Cellular senescence is increasingly recognized as a fundamental driver of cardiovascular ageing; however, its molecular heterogeneity, cell-type specificity, and translational relevance remain incompletely understood. Accumulating evidence indicates ... read more

Acoustics of depression.

Journal of affective disorders May 13, 2026

BACKGROUND: The sound of speech reflects the speaker's mood in a way that may enable objective measurement of depression from speech audio recordings. As previous studies relied on volunteers without a diagnosis or selected subsets of acoustic featur... read more

Manganese (Hydr)oxides record the dynamic evolution of a million-year Hesperian Ocean in Utopia Planitia, Mars.

Nature communications May 13, 2026

The duration and dynamic evolution of surface water on Mars are key to understanding its past habitability. Utopia Planitia, Mars' largest northern basin, preserves mineralogical signatures of ancient aqueous activity that remains chronologically unc... read more

Diagnostic accuracy and citation integrity of four large language models on otolaryngology vignettes.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery May 13, 2026

OBJECTIVES: This study aimed to compare the diagnostic accuracy and citation integrity of four large language models (LLMs) including one general (ChatGPT-4) and three intended for clinical and research use (OpenEvidence, Perplexity, and Pathway), us... read more

Geological and machine learning based landslide risk assessment in the context of community knowledge and perception.

Scientific reports May 13, 2026

Aizawl, located in Mizoram, northeast India, faces persistent landslide risk due to fragile geology, steep terrain, and unregulated urban expansion. This study assesses the correspondence between community perceived landslide drivers and scientifical... read more

Metabolic, demographic, and behavioral risk factors predict brain structural variability in the general population: an analysis of the human connectome project young adults.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology May 13, 2026

BACKGROUND: Understanding whether commonly available metabolic, demographic, and behavioral factors can explain variability in brain structure may support the development of accessible predictive approaches. This study aims to evaluate the ability of... read more

Artificial Intelligence Medical Compendium