AI Medical Compendium

Geometric deep learning enables high-fidelity network imputation for HIV transmission modeling.

Communications medicine May 4, 2026

BACKGROUND: Accurately mapping social and risk networks is critical for understanding and controlling infectious disease transmission, especially among hard-to-reach populations, such as people who inject drugs (PWID). Yet, empirical sociometric netw... read more

Effective monitoring of online AI decision-making algorithms in just-in-time adaptive interventions.

NPJ digital medicine May 4, 2026

Monitoring just-in-time adaptive interventions (JITAIs) is important both during trialing and when the intervention is deployed in a broader healthcare program. While there is increasing interest in using artificial intelligence (AI) algorithms in JI... read more

Architecture and hyperparameter optimization of YOLOv5 and YOLOv8 for weed detection in garlic fields.

Scientific reports May 4, 2026

Weed adaptability to environmental conditions poses a major challenge in agricultural production, often leading to yield reduction or even complete crop loss. Effective weed detection requires algorithms tailored to the unique visual and biological c... read more

Predictive robot eyes shape visual attention, performance, and trust in interaction with an industrial CoBot.

Scientific reports May 4, 2026

Collaborative robots increasingly share workspaces with humans, making the predictability of robot actions critical for efficient and safe coordination. Predictive visual cues, such as gaze or arrows, may reduce uncertainty, yet their effectiveness a... read more

Artificial intelligence-powered H&E-based quantification of spatial tumor-infiltrating lymphocyte distribution identifies prognostic immune niches in colorectal cancer.

Cancer immunology, immunotherapy : CII May 4, 2026

PURPOSE: The prognostic significance of tumor-infiltrating lymphocytes (TILs) in colorectal cancer (CRC) is well established; however, existing approaches inadequately capture their spatial distribution. We investigated the prognostic implications of... read more

Multimodal deep learning model for multiclass classification of renal tumors.

NPJ digital medicine May 4, 2026

Accurate classification of renal masses before treatment is crucial for therapeutic decision-making and patient outcome. This study developed and validated Multi-Phase Attention Network (MPANet), a multimodal deep learning model integrating multiphas... read more

Performance of an Artificial Intelligence-Based Automated System for Identifying Primary and Permanent Teeth in Mixed Dentition Panoramic Radiographs.

Journal of imaging informatics in medicine May 4, 2026

This study aimed to assess the diagnostic performance of the Brazilian-developed artificial intelligence system DIO Inteligência® for automatic detection and classification of primary and permanent teeth in panoramic radiographs of patients in mixed ... read more

Homogeneous image-based digital immunoassays with high error tolerance.

Npj imaging May 4, 2026

There is a significant global health need to translate more in vitro diagnostic tests from clinical laboratories to field-based applications, including point-of-care and self-administered test formats. These applications typically require smaller sam... read more

Increased Antidepressant Use after Intensive Care for Aneurysmal Subarachnoid Haemorrhage: A Machine-Learning-Enhanced Propensity-Matched Nationwide Cohort Study.

Neurocritical care May 4, 2026

BACKGROUND: Mood disorders after aneurysmal subarachnoid haemorrhage (aSAH) are common. Meanwhile, mood disorders are also common after intensive care for any reason, and whether aSAH confers an excess risk remains unknown. METHODS: In this retrospec... read more

Development and validation of a real-time AI model for differentiating benign and malignant gastric ulcers : a multicenter retrospective study.

BMC gastroenterology May 4, 2026

AIM: To develop and validate a deep learning-based AI system for the dynamic, real-time differentiation of benign and malignant gastric ulcers during endoscopy, with the goal of enhancing diagnostic precision. METHODS: This was a multicenter, retrosp... read more

Artificial Intelligence Medical Compendium