AI Medical Compendium

Transformer-based architectures in MRI brain tumor segmentation: A review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 20, 2026

Transformers have been actively utilized in the deep learning field recently. Vision Transformer (ViT), as one of its important applications in the computer vision field, exhibits significant promise for automatic glioma MRI image segmentation. As th... read more

A perturbed multilayer perceptron approach to predicting distant metastatic sites of cancer patients.

Computational biology and chemistry Feb 20, 2026

Cancer metastasis accounts for about 90% of cancer-related mortality, but is difficult to predict. In particular, distant metastasis is more difficult to predict by a learning method than lymph node metastasis due to the limited amount of data availa... read more

Clinical-imaging model for predicting prognosis in contemporary endodontic microsurgery: a retrospective machine learning-based study.

Journal of endodontics Feb 20, 2026

INTRODUCTION: Predictive tools for endodontic microsurgery (EMS) outcomes remain limited. This study evaluated the performance of various machine learning (ML) algorithms in forecasting EMS prognosis using patient-, tooth-, and procedure-related vari... read more

No Normal Brain: How Demographic Exclusion Undermines Neuroimaging AI Validity.

Journal of clinical epidemiology Feb 20, 2026

BACKGROUND AND OBJECTIVE: Neuroimaging AI systems increasingly influence clinical decisions, yet demographic exclusions in training datasets may compromise their scientific validity and clinical safety. This analysis examines how demographic concentr... read more

Artificial Intelligence Impact on Radiologist Performance in Breast Cancer Screening with Digital Breast Tomosynthesis.

Journal of the American College of Radiology : JACR Feb 20, 2026

PURPOSE: Assess impact of artificial intelligence (AI) on radiologists' detection of cancer on digital breast tomosynthesis (DBT) exams based on density, size, stage, and histopathology. METHODS AND MATERIALS: Retrospective analysis of mammography au... read more

Multimodal framework for early developability assessment to accelerate protein and antibody development.

International journal of pharmaceutics Feb 20, 2026

Protein and antibody therapeutics, distinguished by exceptional activity, specificity, and precise biological functions, are crucial in modern pharmaceuticals. Their clinical success depends on developability, encompassing physicochemical properties ... read more

Immunotherapy in Triple-Negative Breast Cancer: From Molecular Mechanisms to Precision Medicine-Overcoming Resistance and Optimizing Clinical Outcomes.

Critical reviews in oncology/hematology Feb 20, 2026

Triple-negative breast cancer (TNBC) is the most violent type of breast cancer, in which estrogen receptors (ER), progesterone receptors (PR), and human epidermal growth factor receptor 2 (HER2) are not expressed, and with which has a disproportionat... read more

Conformation-driven mechanical duality: viscoelastic and poroelastic switching in protein hydrogels.

Acta biomaterialia Feb 20, 2026

Bovine serum albumin (BSA) hydrogels reveal a fundamental mechanical duality in protein-based biomaterials. Using chemically crosslinked BSA networks as a model system, we show that the same hydrogel can dissipate stress through two distinct regimes ... read more

Emerging Diagnostics Tools for Severe Male Infertility and Non-Obstructive Azoospermia.

Urology Feb 20, 2026

Male infertility affects one in ten men, yet we have seen few changes in the diagnostic tests recommended in the guidelines in the recent decade. Here we review the literature to identify newly available or emerging diagnostic tools in male infertili... read more

Differentiating bipolar disorder and schizophrenia using sleep EEG power and coherence features: A machine learning approach based on polysomnography.

Journal of affective disorders Feb 20, 2026

Differentiating between bipolar disorder (BD) and schizophrenia (SZ) is challenging due to overlapping clinical symptoms and shared genetic risks, resulting in frequent misdiagnoses and ineffective treatments. This study investigates whether overnigh... read more

Artificial Intelligence Medical Compendium