AI Medical Compendium

DANEELpath open source digital analysis tools for histopathological research in neuroblastoma models.

Scientific reports Jan 24, 2026

Despite the considerable expansion of bioimage analysis as a subfield of biomedical sciences, there is an ongoing need for comprehensive image analysis pipelines to address specific biological inquiries. In the tumor microenvironment, the extracellul... read more

Deep learning for malignancy and tumor origin prediction using cytology or histopathology whole slide images.

NPJ digital medicine Jan 24, 2026

Pleural and ascitic cytology is essential for diagnosing metastatic cancer and predicting tumor origin, yet microscopic observation alone often leads to low accuracy and observer variability. Although deep learning shows great potential in pathology,... read more

The impact of AI on modern oncology from early detection to personalized cancer treatment.

NPJ precision oncology Jan 24, 2026

Artificial intelligence (AI) is quickly becoming a revolutionary and game-changing tool in modern oncology, with promising uses in early diagnosis and drug discovery. Machine learning (ML), deep learning (DL), reinforcement learning (RL), natural lan... read more

Machine learning-based models for preoperative prediction of pituitary adenoma consistency: a systematic review and meta-analysis.

Acta neurochirurgica Jan 24, 2026

BACKGROUND/OBJECTIVES: The consistency of pituitary adenoma (PA) significantly impacts surgical difficulty and the extent of resection. Machine learning (ML) and radiomics have emerged as quantitative tools to predict tumor firmness from MRI-derived ... read more

Machine learning application in colon cancer treatment outcome prediction.

Scientific reports Jan 24, 2026

Modulating subjective and objective cognitive state fatigue in long COVID with repetitive anodal tDCS: results from a double-blinded randomized controlled trial.

BMC neuroscience Jan 24, 2026

BACKGROUND: Cognitive fatigue is a frequently reported and debilitating symptom of long COVID, yet effective therapeutic interventions remain limited. Anodal transcranial direct current stimulation (tDCS) over the dorsolateral prefrontal cortex (dlPF... read more

Prediction of medication overuse in patients with migraine using cox regression and machine learning: a real-world cohort.

The journal of headache and pain Jan 24, 2026

ProteoBoostR: an interactive framework for supervised machine learning in clinical proteomics.

Clinical proteomics Jan 24, 2026

BACKGROUND: Mass spectrometry-based proteomics enables high-throughput quantification of thousands of proteins in clinical samples, fueling biomarker discovery for disease diagnosis and prognosis. However, leveraging complex proteomic profiles for pr... read more

Prognostic value of deep learning-based coronary artery calcium score and quantitative pneumonia burden in patients hospitalized with COVID-19.

BMC medical imaging Jan 24, 2026

CT-based radiomics nomogram for preoperative prediction of Ki-67 in lung neuroendocrine neoplasms: a multicenter study.