AI Medical Compendium

Tech That Scales: A Practical Framework for Artificial Intelligence-Enabled Cancer Care in Low- and Middle-Income Countries and Underserved US Counties.

American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting Apr 24, 2026

Cancer outcomes remain starkly unequal: 5-year survival rates for common malignancies in low- and middle-income countries (LMICs) often lag 20-40 percentage points behind high-income benchmarks, and similar disparities persist between well-resourced ... read more

Exploring Attitudes Toward AI-Based Contactless Sensors in Health Among Five Stakeholder Groups: Qualitative Study.

Journal of medical Internet research Apr 24, 2026

BACKGROUND: The rapid rise of artificial intelligence-based contactless sensors (AI-CS) is expected to significantly transform how patients are measured, monitored, and understood through a versatile, noninvasive approach to data collection and healt... read more

Association of MRI-Visible Perivascular Spaces With Longitudinal Cognitive Decline Over a Decade.

Neurology Apr 24, 2026

BACKGROUND AND OBJECTIVES: Cerebral small vessel disease (SVD) is the most common vascular contributor to dementia. SVD markers often coexist, contributing to difficulty assessing their independent contributions to cognitive domains. MRI-visible peri... read more

Comparing ChatGPT-4o and Gemini 1.5 Pro in Adolescent Psychiatric Emergencies: A Real-World Evaluation of AI Support in Suicide Risk Assessment.

Clinical child psychology and psychiatry Apr 24, 2026

ObjectiveThis study aimed to evaluate the performance of large language models-ChatGPT-4o and Gemini 1.5 Pro-in assessing suicide risk and guiding treatment in adolescents presenting to the emergency department with suicidal ideation and/or attempts.... read more

Vitiligo state assessment based on progressive transfer learning and multimodal domain adaptation.

Biomedical physics & engineering express Apr 24, 2026

Vitiligo is a common skin depigmentation disorder; assessing its state is crucial for the treatment outcome. Collecting multimodal data for vitiligo assessment is complex and costly in clinical practices, and the limited data size restricts the perfo... read more

Enhanced ResU-Net for brain tumor segmentation using EfficientNetB0, Channel Attention, and ASPP.

Biomedical physics & engineering express Apr 24, 2026

Accurate and efficient segmentation of brain tumors is critical for diagnosis, treatment planning, and monitoring in clinical practice. In this study, we present an enhanced ResU-Net architecture for automatic brain tumor segmentation, integrating an... read more

Resolving the multiscale design trade-off in bone tissue engineering: From generative design to digital twins.

Biofabrication Apr 24, 2026

The clinical translation of bone tissue engineering is constrained by a severe multiscale design trade-off: the requirement for load-bearing mechanical strength competes directly with the need for vascular-permissive porosity. Conventional approaches... read more

Extruded droplet-on-demand (X-DoD) bioprinting for controlled iPSC-based functional cortical network formation.

Biofabrication Apr 24, 2026

Engineered three-dimensional (3D) neural constructs hold significant promise for repairing neural tissue damage and recapitulating the human brain in vitro for disease modeling and drug screening applications. However, most current 3D neural models, ... read more

MMP9 as a shared immune-related gene in Alzheimer's and Huntington's diseases: a cross-tissue transcriptomic analysis.

Artificial cells, nanomedicine, and biotechnology Apr 24, 2026

Alzheimer's disease (AD) and Huntington's disease (HD) share neuroinflammatory mechanisms, yet their specific immune microenvironments remain poorly understood. Integrating transcriptomic profiles of peripheral blood and frontal cortex tissues with 2... read more

Machine learning Green's functions of strongly correlated Hubbard models.

Journal of physics. Condensed matter : an Institute of Physics journal Apr 24, 2026

We demonstrate that a machine learning framework based on kernel ridge regression can encode and predict the self-energy of one-dimensional Hubbard models using only mean-field features such as static and dynamic Hartree-Fock quantities and first-ord... read more

Artificial Intelligence Medical Compendium