AI Medical Compendium

Artificial intelligence in breast cancer imaging: a systematic review of diagnostic performance, predictive modeling, and clinical translation.

Naunyn-Schmiedeberg's archives of pharmacology Aug 4, 2026

Artificial intelligence (AI) has rapidly advanced in breast cancer imaging, demonstrating high diagnostic and predictive performance across imaging modalities. However, the clinical reliability and translational readiness of these models remain uncer... read more

Artificial intelligence-based diagnostic model for identifying PTPRZ1-MET fusion in a clinically defined secondary glioblastoma cohort.

Molecular biomedicine Aug 4, 2026

Glioblastoma (GBM) is an aggressive and highly lethal brain tumor. Secondary glioblastoma (sGBM), which arises through malignant progression from lower-grade diffuse glioma, represents a clinically and biologically distinct subset of GBM. In this dis... read more

Quantitative Temporal Bone Analysis of Stria Vascularis, Spiral Ganglion, and Vestibular Ganglion Cells in Sickle Cell Disease at Young Ages.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Aug 3, 2026

OBJECTIVES: Sensorineural hearing loss (SNHL) and vestibular symptoms in sickle cell disease (SCD) may result from hypoxic damage of inner ear structures, including the stria vascularis (SV), spiral ganglion cells (SGC), and vestibular ganglion neuro... read more

From intravascular imaging to adaptive vascular care: intelligent photonics and digital twins in panvascular disease.

Light, science & applications Aug 4, 2026

Panvascular diseases (PVDs) stand as the leading cause of global mortality, necessitating a paradigm shift from local anatomical repair to the systemic restoration of vascular homeostasis. While intravascular optical imaging has revolutionized diagno... read more

Accuracy and Readability of Generative Artificial Intelligence for Vascular Surgery Patients: A Specialist Based Evaluation Highlighting the Current Landscape of Safety Risks and Accessibility Gaps.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Aug 3, 2026

OBJECTIVE: Patients frequently seek health information and medical advice from chatbots instead of consulting their physicians or referring to credible patient education resources provided by medical societies. A study to evaluate the quality, readab... read more

Advances in RNA pesticides and nano-delivery systems.

International journal of biological macromolecules Aug 3, 2026

RNA pesticides have garnered considerable attention in pest management due to their exceptional selectivity, environmental safety, and flexible design. They interfere with essential physiological processes in pests by silencing key genes, thereby ach... read more

AI-based embryo ranking can match or improve traditional assessments but cannot predict an aneuploid chromosomal constitution.

Fertility and sterility Aug 3, 2026

OBJECTIVE: To evaluate whether AI-based blastocyst ranking tools can outperform traditional non-invasive assessments in prioritizing euploid embryos for transfer. DESIGN: Retrospective single-center cohort study. SUBJECTS: The study included 786 PGT-... read more

Efficient ECG Representation Learning via Intervention-Based Attribution Alignment.

Physiological measurement Aug 3, 2026

The widespread adoption of wearable ECG devices has driven an explosive growth of long-term, multi-lead ECG data. However, clinical analysis and model development remain constrained by the excessive cost of data annotation, a limitation particularly ... read more

Practical Optimization of Deep Learning Models for Cuffless Blood Pressure Estimation From Photoplethysmography.

Physiological measurement Aug 3, 2026

To improve deep learning-based cuffless blood pressure (BP) estimation from photoplethysmography (PPG) for continuous, non-invasive monitoring when cuff measurements are impractical, by assessing sampling frequency, systolic blood pressure (SBP)... read more

Machine learning for precision prediction of antimicrobial peptide activity and spectrum.

Biotechnology advances Aug 3, 2026

The accelerating global crisis of antibiotic resistance demands new therapeutic paradigms, and antimicrobial peptides (AMPs) have emerged as promising candidates owing to their broad activity and reduced propensity for resistance development. However... read more

Artificial Intelligence Medical Compendium