AI Medical Compendium

Machine learning model to estimate momentary status of activities of daily living in people with early-stage Parkinson's disease: an experimental study in home setting.

Disability and rehabilitation. Assistive technology May 30, 2026

PURPOSE: The purpose of this study was to develop a model that estimates the momentary status of activities of daily living (ADLs) in people with Parkinson's disease (PwPD) in the early stages using data measured in real home settings of PwPD. MATERI... read more

An AI-Driven Pipeline for Localization, Segmentation, and Classification of Carpal Tunnel Syndrome Using Ultrasound Images of the Median Nerve.

Hand (New York, N.Y.) May 30, 2026

BACKGROUND: Carpal tunnel syndrome (CTS), the most common peripheral neuropathy, is currently diagnosed by clinical suspicion supported by tools such as the CTS-6 questionnaire and ultrasound. While these tools are widely used and clinically valuable... read more

Innovative teaching in legal medicine through forensic simulation: a case-based educational project.

International journal of legal medicine May 30, 2026

In Italy, forensic medicine education is traditionally theory-based, which limits students' access to practical experiences due to confidentiality constraints and the complexity of real cases. This paper describes a forensic simulation conducted at t... read more

Proteomic profiling of bone for the estimation of post-mortem interval and post-mortem submersion interval: a systematic review.

International journal of legal medicine May 30, 2026

Accurate estimation of the Post-Mortem Interval (PMI) and Post-Mortem Submersion Interval (PMSI) remains a persistent challenge in forensic science, especially when traditional morphological and entomological methods fail due to advanced decompositio... read more

Relationship between ileocolic arterial stump length and lymph node yield - a retrospective study using machine learning.

Langenbeck's archives of surgery May 30, 2026

PURPOSE: In right-sided colon cancer surgery, ileocolic artery stump length may reflect the extent of mesenteric resection and lymph node harvest. This study evaluated the association between postoperative stump length measured on CT, lymph node yiel... read more

Gut microbial alterations and functional shifts in patients with hypertriglyceridemia: insights from a northwestern Chinese metagenomic study.

International microbiology : the official journal of the Spanish Society for Microbiology May 30, 2026

Although hypertriglyceridemia (HTG) is a significant contributor to lipid-associated pathologies such as atherosclerotic cardiovascular disease, its regulation by host‒microbiome interactions remain insufficiently characterized. While the gut microbi... read more

PRIME: An evaluation framework for protein representation inference and generalization in viral mutation space.

BMC genomics May 30, 2026

BACKGROUND: Protein language models (PLMs) have revolutionized protein fitness prediction, yet their application to rapidly evolving viral pathogens is often confounded by extreme sequence homology. This homology leads to "data leakage" in standard r... read more

Large language models in implant dentistry: a scoping review of applications, performance, and limitations.

BMC oral health May 30, 2026

BACKGROUND: This scoping review evaluates the current state of generative artificial intelligence (AI) in implant dentistry, focusing on the performance, clinical applications, and inherent limitations of large language models (LLMs) in both clinical... read more

Exosomes in bone health and disease: cellular crosstalk, systemic signaling, and AI-driven advances in regenerative therapy.

Stem cell research & therapy May 30, 2026

Exosomes have emerged as critical mediators of intercellular and inter-organ communication in bone biology. Secreted by bone-resident cells such as osteoblasts, osteoclasts, osteocytes, and mesenchymal stem cells (MSCs), these nanosized vesicles carr... read more

Predicting facility delivery and its determinants among reproductive-age women in Ethiopia using machine learning algorithm: evidence from performance monitoring for action Ethiopia 2019 dataset.

BMC pregnancy and childbirth May 30, 2026

BACKGROUND: Facility delivery attended by skilled health professionals is a critical strategy for reducing maternal and neonatal mortality. Despite substantial efforts to expand maternal health services in Ethiopia, a large proportion of births still... read more

Artificial Intelligence Medical Compendium