AI Medical Compendium

Cervical cancer image analysis: Detection and segmentation using self-guided quantum GANs and musical chairs optimization.

Computers in biology and medicine Mar 26, 2026

The main cause of cervical cancer emerges from long-term Human Papillomavirus (HPV) infections damaging the cervix. The detection methods produced by deep learning algorithms include many available options yet operating systems typically demonstrate ... read more

Preliminary evaluation of gunshot residue pattern analysis using flash-pulse infrared thermography and multi-task deep learning.

Forensic science international Mar 26, 2026

Gunshot residue pattern assessment can support forensic reconstruction, particularly for shooting distance evaluation, but commonly used approaches may be time-consuming, costly, or dependent on subjective visual interpretation, which can be especial... read more

Multi-dimensional CT feature screening, construction, and validation of a clinical diagnostic model for thyroid eye disease.

Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery Mar 26, 2026

OBJECTIVE: Thyroid eye disease (TED) is an autoimmune condition associated with thyroid dysfunction, often presenting with complex and variable orbital manifestations that pose challenges for early and objective diagnosis. Current diagnostic reliance... read more

Examination of Gemini's ability to answer anatomical questions: An overview.

Morphologie : bulletin de l'Association des anatomistes Mar 26, 2026

PURPOSE: Gemini has been extensively investigated regarding its educational potential, with conflicting outcomes. We performed a review to explore the platform's ability to answer anatomical questions. METHODS: We searched PubMed, Scopus, ERIC and Co... read more

Persistent homology-based segmentation tool for membrane images.

Cell reports methods Mar 26, 2026

While advances in machine learning have enabled automated cell segmentation, users often face challenges in parameter tuning until reaching their desired results. To address this issue, we developed PomSeg, a membrane segmentation method based on per... read more

Integrating single-cell and single-nucleus datasets improves bulk RNA-seq deconvolution.

Cell reports methods Mar 26, 2026

Bulk RNA sequencing (RNA-seq) deconvolution typically uses single-cell RNA sequencing (scRNA-seq) references, but some cells are only detectable through single-nucleus RNA sequencing (snRNA-seq). Because snRNA-seq captures nuclear, not cytoplasmic, t... read more

Statistics of natural scenes shape contextual modulation in the visual cortex.

Neuron Mar 26, 2026

Vision is context dependent, with neuronal responses shaped not only by local features but also by surrounding visual input. While classical studies, using grating stimuli, show that iso-oriented surrounds suppress responses more than orthogonal surr... read more

Machine learning for detection of regional wall motion abnormalities on transthoracic echocardiography: A systematic review and meta-analysis.

Current problems in cardiology Mar 26, 2026

BACKGROUND: Regional wall motion abnormality (RWMA) assessment is fundamental in transthoracic echocardiography (TTE) for diagnosing ischaemic heart disease, yet visual interpretation is subjective and variable. Machine-learning (ML) models may offer... read more

Lessons learned from bat and rodent reservoir hosts of zoonotic viruses.

Trends in microbiology Mar 26, 2026

Zoonotic virus emergence is a continued threat to global health, though more than two-thirds originate in wildlife. Within natural reservoirs, bats and rodents are host to a remarkable diversity of highly pathogenic viruses, including coronaviruses, ... read more

Addressing disparities in transthyretin amyloid cardiomyopathy: A systematic review of artificial intelligence in the early identification to improve patient outcomes.

Journal of the National Medical Association Mar 26, 2026

BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) remains substantially underdiagnosed among Black patient populations. When applied to non-invasive diagnostic and screening techniques, artificial intelligence (AI) can aid in the early detec... read more

Artificial Intelligence Medical Compendium