AI Medical Compendium

Evaluation of artificial intelligence-based software programs applied to the radiographic and photographic identification of dental implant systems.

Journal of prosthodontics : official journal of the American College of Prosthodontists Apr 22, 2026

PURPOSE: The purpose of this evaluation study was to assess the performance of ChatGPT-5, Google Gemini (v2.5), and Microsoft Copilot in identifying five demonstration dental implant systems and four implants from real clinical cases based on clinica... read more

From Bio-Interface Materials to Neural Integration: The Next-Generation Brain-Machine Interfaces Powered by Hydrogels.

Advanced materials (Deerfield Beach, Fla.) Apr 22, 2026

Brain-machine interfaces (BMIs), which serve as revolutionary tools for neural recording, modulation, and rehabilitation, are highly dependent on the biocompatibility and mechanical suitability of their electrode materials. Although traditional metal... read more

Artificial Intelligence in Occupational Medicine: Upholding Disciplinary Integrity and Editorial Standards.

La Medicina del lavoro Apr 22, 2026

Artificial Intelligence in Occupational Health Surveillance: Evaluating AI-Assisted ILO Classification of Radiographs of Pneumoconioses.

La Medicina del lavoro Apr 22, 2026

BACKGROUND: Pneumoconioses remain an important occupational health issue, particularly in low- and middle-income countries. The International Labour Organization (ILO) Classification standardizes chest radiograph interpretation but requires trained r... read more

A Simulation-Free Radiation Therapy Workflow Using Synthetic Computed Tomography Generated from Diagnostic Magnetic Resonance Imaging for Personalized Hippocampal-Sparing Whole-Brain Treatment.

Practical radiation oncology Apr 22, 2026

PURPOSE: The conventional computed tomography (CT)-based consultation to simulation process for hippocampal-sparing whole-brain radiation therapy (HS-WBRT) typically requires several days, delaying treatment initiation for patients who would benefit ... read more

Protocol for an interpretable self-attention artificial neural network framework to predict cancer risk in oral potentially malignant disorders.

STAR protocols Apr 22, 2026

Oral potentially malignant disorders (OPMDs) can directly progress to cancer, necessitating accurate risk prediction to guide clinical intervention. Here, we present a protocol for predicting cancer risk in OPMDs using a customized self-attention art... read more

Urinary Proteomics: Biological Foundations, Analytical Frameworks, and Clinical Translation Across Human Diseases.

Genomics, proteomics & bioinformatics Apr 22, 2026

Urinary proteomics has swiftly emerged as a formidable tool for the identification of non-invasive biomarkers and the surveillance of diseases. The progression in high-resolution mass spectrometry and data-independent acquisition techniques has facil... read more

Pilot evaluation of a large language model-mediated pre-consultation interview for vestibular disorders.

Auris, nasus, larynx Apr 22, 2026

OBJECTIVE: Efficient and high-quality history taking is central to vestibular diagnosis, but it is often constrained by limited consultation time and variable patient understanding of questionnaires. Large language models (LLMs) can help structure in... read more

A multimodal fNIRS-based machine learning model for symptom assessment and treatment response prediction in schizophrenia.

Schizophrenia research Apr 22, 2026

OBJECTIVE: Predicting early symptom severity and treatment response in schizophrenia is crucial for selecting optimal therapeutic strategies. This study aimed to develop machine learning (ML) models utilizing functional near-infrared spectroscopy (fN... read more

Factors that contribute to collision avoidance behaviours involving a single pedestrian versus a group of pedestrians in a natural environment.

Human movement science Apr 22, 2026

Along busy walking paths many pedestrians walk in a group, thus challenging the collision avoidance behaviours of both the group and individual pedestrians. Here we sought to determine what factors contribute to these behaviours in a real-world envir... read more

Artificial Intelligence Medical Compendium