AI Medical Compendium

Adnexal torsion diagnosis framework with CT-based adaptive preprocessing and deep neural networks.

Scientific reports May 7, 2026

Adnexal cystic torsion is a gynecological emergency that requires prompt and accurate diagnosis followed by immediate surgical intervention to preserve ovarian function. Although ultrasound or computed tomography (CT) are commonly employed, their dia... read more

Financial incentives increase uptake and perceived effectiveness of autonomous medical AI, yet patients still seek human reconfirmation.

NPJ digital medicine May 7, 2026

Artificial intelligence (AI) is increasingly used for diagnostic screening. In diabetic retinopathy screening, autonomous AI systems can identify disease without a specialist. However, patient trust in AI remains a challenge, and it remains unknown w... read more

Commercial AI for CT lung cancer screening: product capabilities, coverage of nodule management tasks and supporting evidence.

European radiology May 7, 2026

OBJECTIVES: To characterize the capabilities of CE-marked AI products for lung nodule analysis in lung cancer screening (LCS), quantify their coverage of tasks defined in nodule management recommendations, and assess their peer-reviewed evidence. MAT... read more

Mitochondrial Gene Signature Reveals Novel Diagnostic Biomarkers for Autism Spectrum Disorder.

Molecular neurobiology May 7, 2026

Autism Spectrum Disorder (ASD) pathogenesis remains unclear, with mitochondrial dysfunction implicated as a key contributor. Reliable mitochondrial-related diagnostic biomarkers are lacking, hindering early detection and mechanistic studies. This stu... read more

Machine learning-based prognostic signature integrating mitochondrial function and programmed cell death patterns in pancreatic adenocarcinoma.

Scientific reports May 7, 2026

The interplay between mitochondria and programmed cell deaths (PCD) is associated with tumor pathogenesis. However, the specific roles of genes related to mitochondrial function and PCD patterns in pancreatic adenocarcinoma (PAAD) remain unclear. Tho... read more

Machine learning and SHAP-based risk assessment of PICC-related bloodstream infections in premature infants at the time of clinical suspicion.

Pediatric research May 7, 2026

BACKGROUND: Peripherally inserted central catheter-related bloodstream infections (PICC-CRBSI) pose a serious threat to preterm infants. This study aimed to develop and validate an interpretable machine learning model for risk assessment of PICC-CRBS... read more

Integrated multi-omics and single-cell analyses identify metabolic heterogeneity and therapeutic vulnerabilities in medullary thyroid cancer.

British journal of cancer May 7, 2026

BACKGROUND: Medullary thyroid cancer (MTC) is a heterogeneous and aggressive malignancy with limited therapeutic options. Metabolic reprogramming, a hallmark of cancer, may offer a promising avenue for understanding and managing MTC. METHODS: RNA seq... read more

Comprehensive cross-cohort analysis reveals global gut microbiome signatures of celiac disease.

Communications medicine May 7, 2026

BACKGROUND: Celiac disease affects ~1-2% of people and remains incurable, requiring lifelong dietary restriction. The gut microbiome is thought to contribute to the development and progression of celiac disease. However, findings across previous stud... read more

Machine learning-based prediction of proximal junctional pathology after adult spinal deformity surgery: a systematic review and diagnostic test accuracy meta-analysis.

Acta neurochirurgica May 7, 2026

BACKGROUND: Proximal junctional kyphosis (PJK) and failure (PJF) remain challenging and incompletely predictable adverse event following adult spinal deformity (ASD) surgery. Machine learning (ML) models have been proposed to improve risk stratificat... read more

Quantifying ergonomic challenges for urologists operating flexible ureteroscopes through artificial intelligence-based posture estimation.

World journal of urology May 7, 2026

PURPOSE: The ergonomic challenges faced by surgeons during flexible ureteroscopy have yet to be thoroughly evaluated using objective methods. However, robot-assisted ureteroscopy has emerged as a promising treatment for urinary stones. The present st... read more

Artificial Intelligence Medical Compendium