AI Medical Compendium

A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms.

PloS one May 11, 2026

Recent advances in statistical and machine learning (ML) methods have improved the prediction of soil attributes at fine spatial scales, yet the comparative performance and reliability of these techniques remain unclear. This study compared Ordinary ... read more

Visual navigation technology for autonomous driving robots based on strategic gradient-REINFORCE algorithm.

PloS one May 11, 2026

Currently, autonomous driving robots face challenges of insufficient environmental perception and decision delay in visual navigation. To optimize the visual navigation performance of an autonomous driving robot under intricate working conditions, th... read more

Human-to-Rat Validation of PMI Biomarkers: A Bidirectional Cross-Species Metabolomics Study Reveals Asymmetric Translation.

Analytical chemistry May 11, 2026

Accurately estimating the post-mortem interval (PMI, also known as time since death) remains a major challenge in forensic science due to substantial biological and environmental variability in human cases. While animal models provide controlled cond... read more

Spatial AI consistently preferred to state-of-the-art hearing aids in multitalker noise.

International journal of audiology May 11, 2026

OBJECTIVE: We examined the Spatial AI model running on the Fortell AI hearing aids to see whether it improves perceived ease of understanding in noisy, multitalker environments relative to hearing aids using more traditional processing. DESIGN: In a ... read more

Natural Language Processing for Automated Classification of Cleft and Craniofacial Procedures From Operative Notes: Model Development and Feasibility Study.

JMIR medical informatics May 11, 2026

BACKGROUND: The accurate classification of operative notes is essential for surgical outcomes research; however, CPT code classification is notoriously nonspecific for many procedures. In such situations, the operative note (or "dictation") must be r... read more

Deep-learning endomicroscope with large field-of-view and depth-of-field for real-time in vivo imaging of epithelial cancer hallmarks.

Proceedings of the National Academy of Sciences of the United States of America May 11, 2026

In vivo microscopy (IVM) has shown great promise to improve early detection of epithelial precancer, but it suffers from fundamental trade-offs that limit the resolution, field-of-view (FOV) and depth-of-field (DOF). Here, we present PrecisionView, a... read more

Combining Machine Learning Models and Screening to Enhance Suicide Risk Identification for American Indian Patients: Retrospective Cohort Study.

Journal of medical Internet research May 11, 2026

BACKGROUND: American Indian and Alaska Native communities experience disproportionately high suicide rates. While machine learning (ML) models leveraging electronic health records have emerged as promising tools for suicide risk identification, the o... read more

Electrically Reconfigurable Floating Gate Optoelectronic Synaptic Pixels for In-sensor Convolutional Image Feature Extraction with Built-in Contrast Enhancement.

ACS nano May 11, 2026

Image feature extraction and enhancement are fundamental operations in real-time object detection using convolutional neural networks (CNNs). In conventional architectures, continuous data transfer between sensors, memory, and processing units leads ... read more

Expert Evaluation and Consensus on GPT-4o Summaries of Clinical Letters: Validation and Results of the Framework and Implementation of AI Tools Project.

JMIR medical informatics May 11, 2026

BACKGROUND: Large language models (LLMs) are increasingly used to summarize clinical documents; yet, automated metrics often inadequately capture clinical relevance and safety. In the initial phase of the "Framework and Implementation of AI Tools," a... read more

Early Identification of Mobility Limitations in Community-Dwelling Middle-Aged and Older Adults: Development of a Prediction Model Based on a Prospective Cohort.

JMIR aging May 11, 2026

BACKGROUND: With the aging of the global population, preventing the onset of mobility limitations is considered a worldwide public health priority. OBJECTIVE: This study aimed to develop a predictive model for incident early mobility limitations (EML... read more

Artificial Intelligence Medical Compendium