AI Medical Compendium

Reframing robotics in Mohs surgery for rare cutaneous sarcomas: conceptual promise and clinical realities in precision oncology.

Journal of robotic surgery Aug 9, 2025

Dermatofibrosarcoma protuberans (DFSP) is a rare, locally aggressive cutaneous sarcoma in which achieving histologically negative margins is paramount to minimizing recurrence. Mohs micrographic surgery (MMS) has transformed margin control in DFSP by... read more

Humans Artificial Intelligence Precision Medicine Skin Neoplasms Robotic Surgical Procedures Sarcoma Margins of Excision Mohs Surgery Dermatofibrosarcoma

Automated detection of quiet eye durations in archery using electrooculography and comparative deep learning models.

BMC sports science, medicine & rehabilitation Aug 9, 2025

This study presents a deep learning-based approach for the automated detection of Quiet Eye (QE) durations from electrooculography (EOG) signals in archery. QE-the final fixation or tracking of the gaze before executing a motor action-is a critical f... read more

MARIA: A multimodal transformer model for incomplete healthcare data.

Computers in biology and medicine Aug 9, 2025

In healthcare, the integration of multimodal data is pivotal for developing comprehensive diagnostic and predictive models. However, managing missing data remains a significant challenge in real-world applications. We introduce MARIA (Multimodal Atte... read more

Application of causal forest double machine learning (DML) approach to assess tuberculosis preventive therapy's impact on ART adherence.

Scientific reports Aug 9, 2025

Adherence to antiretroviral therapy (ART) is critical for HIV treatment success, yet the impact of tuberculosis preventive therapy (TPT) remains inadequately understood. Using observational data from 4152 HIV patients in Ethiopia (2005-2024), we appl... read more

Humans Machine Learning Female Adult Male Middle Aged HIV Infections Anti-HIV Agents Medication Adherence Ethiopia Antitubercular Agents Tuberculosis

Deep learning model for early acute lymphoblastic leukemia detection using microscopic images.

Scientific reports Aug 9, 2025

Cancer of bone marrow is classified as Acute Lymphoblastic Leukemia (ALL), an abnormal growth of lymphoid progenitor cells. It affects both children and adults and is the most predominant form of infantile cancer. Currently, there has been significan... read more

Humans Neural Networks, Computer Deep Learning Child Early Detection of Cancer Microscopy Precursor Cell Lymphoblastic Leukemia-Lymphoma

The integration of psychological education and moral dilemmas from a value perspective.

BMC psychology Aug 9, 2025

The rapid evolution of internet technologies has emphasized the importance of integrating psychological education with moral dilemmas across diverse sectors. This paper investigates the interrelationship between psychological education and moral reas... read more

Humans Deep Learning Morals Ethical Dilemmas

Reducing motion artifacts in the aorta: super-resolution deep learning reconstruction with motion reduction algorithm.

Japanese journal of radiology Aug 9, 2025

PURPOSE: To assess the efficacy of super-resolution deep learning reconstruction (SR-DLR) with motion reduction algorithm (SR-DLR-M) in mitigating aorta motion artifacts compared to SR-DLR and deep learning reconstruction with motion reduction algori... read more

AI-based identification of Chinese vascular plants from herbarium specimens: a tool for all herbaria with Chinese holdings.

The New phytologist Aug 9, 2025

Documenting the geographic ranges of the World's > 350 000 named species of vascular plants requires artificial intelligence (AI) because there are insufficient experts to speedily identify dried plants, a task that requires access to thousands of al... read more

Collaborative and privacy-preserving cross-vendor united diagnostic imaging via server-rotating federated machine learning.

Communications engineering Aug 9, 2025

Federated Learning (FL) is a distributed framework that enables collaborative training of a server model across medical data vendors while preserving data privacy. However, conventional FL faces two key challenges: substantial data heterogeneity amon... read more

Integrated phenotypic analysis, predictive modeling, and identification of novel trait-associated loci in a diverse Theobroma cacao collection.

BMC plant biology Aug 9, 2025

BACKGROUND: Cacao (Theobroma cacao L.) breeding and improvement rely on understanding germplasm diversity and trait architecture. This study characterized a cacao collection (173 accessions) evaluated in Puerto Rico, examining phenotypic diversity, t... read more

Machine Learning Phenotype Polymorphism, Single Nucleotide Plant Diseases Cacao Quantitative Trait Loci Puerto Rico Plant Breeding

Artificial Intelligence Medical Compendium