AI Medical Compendium

Building trust in the integration of artificial intelligence into chemical risk assessment: findings from the 2024 ECETOC workshop.

Archives of toxicology Feb 17, 2026

Artificial Intelligence (AI) is increasingly influencing chemical risk assessment, enabling faster, more comprehensive, and potentially more ethical assessments. The application of AI in chemical risk assessment refers to both generative and predicti... read more

The feasibility and accuracy of real-time intra-operative confocal tissue diagnosis in brain and spine cancer surgery.

Neurosurgical review Feb 17, 2026

Real-time intra-operative brain tumour tissue analysis can reduce turnaround times and enable repeated sampling, enhancing diagnostic accuracy and guiding resection. We investigated the use of an ultra-fast confocal microscopy scanner (Histolog®, Sam... read more

Machine learning-based prediction of elevated uranium concentrations in shallow groundwater of Punjab, India.

Environmental geochemistry and health Feb 17, 2026

Excess uranium (U) in the shallow aquifers of Punjab, India, has become a significant public health concern for the population dependent on groundwater for drinking and irrigation purposes. Although prior investigations have statistically established... read more

Multimodal machine learning and Raman spectroscopy uncover biochemical pathways of autumnal leaf senescence.

BMC plant biology Feb 17, 2026

Study protocol for evaluating automation of systematic review processes with EPPI-Reviewer and Copilot 365 in updating the cataract evidence gap map.

Systematic reviews Feb 17, 2026

BACKGROUND: The process of developing and updating an evidence gap map (EGM) is based on the principles of systematic reviews and requires extensive time and financial resources. Artificial intelligence (AI) tools, like prioritisation screening (PS),... read more

Identification and Validation of Liver Transplantation-Induced Acute Lung Injury Biomarkers Using a Bioinformatics and Experimental Approach.

Annals of transplantation Feb 17, 2026

BACKGROUND Acute lung injury (ALI) after liver transplantation (LT) is a critical complication negatively affecting transplant outcomes and patient survival. However, effective biomarkers for early diagnosis remain unidentified. This study aimed to i... read more

Nuclear medicine in predicting hepatocellular carcinoma response.

Nuclear medicine communications Feb 17, 2026

Immune checkpoint inhibitors and anti-angiogenic targeted therapies have improved outcomes in hepatocellular carcinoma (HCC), but responses remain heterogeneous, creating a need for noninvasive biomarkers to enable early treatment adaptation. We revi... read more

Classification of small specimen uranium ores using LIBS combined with machine learning and deep learning algorithms.

The Analyst Feb 17, 2026

In this study, classification models based on laser-induced breakdown spectroscopy (LIBS) technology, combined with machine learning (ML) and deep learning (DL) algorithms, were proposed to enable the rapid and high-precision classification of small ... read more

Use of artificial intelligence and machine learning for the management of fibromyalgia: a scoping review.

The Journal of manual & manipulative therapy Feb 17, 2026

BACKGROUND: Fibromyalgia (FM) is a complex and multifactorial syndrome characterized by widespread pain, fatigue, cognitive impairment, and other systemic symptoms. The absence of specific biomarkers and the heterogeneous clinical presentation pose s... read more

Comparative studies of conventional and AI methods for wastewater treatment in the sugar, food, textile, and pharmaceutical industries: a review.