AI Medical Compendium

Ethical and Legal Concerns of Deepfake Technology in Biomedical Imaging: A Comprehensive Survey.

Annals of biomedical engineering Apr 15, 2026

Deepfakes have posed severe challenges to healthcare systems as fake medical images and videos can be utilized to disseminate fake information about an organization or person. The challenges have open room for more solutions to address them. Therefor... read more

Consumer Understanding of Skin Concerns With an AI-Powered Informational Tool.

JAMA dermatology Apr 15, 2026

IMPORTANCE: The potential association of artificial intelligence (AI)-powered informational tools with consumer health needs outcomes is not well understood. Such tools could potentially be associated with the volume and distribution of patients seek... read more

A multi-paradigm evaluation spanning pixels to voxels for deep learning-based kidney tumor segmentation.

Journal of medical engineering & technology Apr 15, 2026

Automated segmentation of kidney tumors from computed tomography (CT) scans is crit- ical for diagnosis, treatment planning, and monitoring of renal cell carcinoma (RCC). While recent deep learning models report high Dice scores (>0.97), their clinic... read more

Machine-Learning Microfluidic Minute-Scale Microorganism Metrics Monitoring(M6).

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 15, 2026

On-site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol-transmitted pathogens. Here, we report a rapid detection platform that int... read more

Sustainable Materials Design With Multi-Modal Artificial Intelligence.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 15, 2026

The growing scarcity of critical minerals, coupled with high embodied carbon emissions and persistent pollution from material smelting, highlights the urgent need for a sustainable transformation in materials design. This challenge can be approached ... read more

Development of a Contextualized, Research-Based Flemish Assessment Framework for Digital Care, Assistance, and Support: Delphi Study.

JMIR formative research Apr 15, 2026

BACKGROUND: The rapid evolution of digital technologies has transformed health, mental health, and social care, offering new modalities of digital care, assistance, and support through web-based platforms, mobile apps, extended reality, wearables, an... read more

A Preliminary Study of a Machine Learning Prediction of Poorly Differentiated Hepatocellular Carcinoma Based on a Comprehensive Parameter Analysis Using Dual-Energy Computed Tomography.

Journal of computer assisted tomography Apr 15, 2026

OBJECTIVE: To develop and evaluate the performance of a predictive machine learning model for poorly differentiated hepatocellular carcinoma (p-HCC) using comprehensive quantitative parameters from dual-energy computed tomography (DECT). MATERIALS AN... read more

Public Perceptions of AI in Medicine and Implications for Future Medical Education: Cross-Sectional Survey.

JMIR formative research Apr 15, 2026

BACKGROUND: The integration of artificial intelligence (AI) into clinical practice is contingent on public trust. This trust often depends on physician oversight, yet a significant gap exists between the need for AI-competent physicians and the curre... read more

HP-DIL: Deep heterogeneity profiling with graph-informed disentangled interaction learning for MRI-based liver fibrosis staging.

IEEE journal of biomedical and health informatics Apr 15, 2026

Liver fibrosis staging (LFS) informs treatment decisions and prognostic assessment in liver disease. Multiparametric MRI enables non-invasive, quantitative characterization of fibrosis-related tissue changes across the whole liver. Although deep-lear... read more

BLADE: Breast Lesion Analysis with Domain Expertise for DCE-MRI Diagnosis.