AI Medical Compendium

[Overview and conclusions of the STROKE data platform of the National Laboratory for Translational Neuroscience and the associated clinical studies].

Orvosi hetilap Jul 19, 2026

Acute ischemic and hemorrhagic stroke are among the leading causes of mortality and long-term disability worldwide. In addition to the results of randomized clinical trials, registry data reflecting real-world clinical practice play a key role in eva... read more

Prompt Engineering Limitations: Preliminary Evaluation of Large Language Models for Psychotherapy Safety

medRxiv Jul 18, 2026

Large Language Models are increasingly used in consumer-facing mental health tools, many of which claim that prompt engineering alone can ensure safe therapeutic behavior. This study evaluates that assumption by testing 20 proprietary and open-source... read more

psychiatry and clinical psychology

Reconsidering the case against risk prediction in self-harm: routinely collected health data distinguishes groups at higher and lower risk of adverse outcomes following paracetamol overdose

medRxiv Jul 17, 2026

Background. UK clinical guidance recommends that structured risk prediction tools and risk stratification should not be used in self-harm, to predict suicide or determine who is offered treatment. Underpinning this position is the premise that routin... read more

psychiatry and clinical psychology

Bioinformatics reveals the prognostic potential of manganese metabolism-related genes in lung adenocarcinoma.

Functional & integrative genomics Jul 20, 2026

Manganese metabolism may be involved in the malignant progression of lung adenocarcinoma (LUAD). Clarifying the roles of manganese metabolism-related genes (MMRGs) in LUAD may provide potential therapeutic targets for LUAD treatment. Mendelian random... read more

Artificial intelligence in echocardiography: a position statement from the British Society of Echocardiography.

Echo research and practice Jul 20, 2026

Echocardiography is a foundational imaging modality for assessing cardiac structure and function, with a long history of technological advancement. As artificial intelligence (AI) becomes increasingly embedded across healthcare, its potential to enha... read more

Predicting women's intention to use contraceptives in East Africa: a machine learning analysis of predictors.

BMC women's health Jul 20, 2026

INTRODUCTION: Intention to use contraceptives reflects an individual's or couple's plan to adopt contraceptive methods, supporting women's reproductive autonomy. It is associated with reduced unintended pregnancies, unsafe abortions, and high fertili... read more

Exosomes in cancer drug resistance: dual roles in therapy failure and emerging precision therapeutics.

Cancer cell international Jul 20, 2026

Exosomes play a key role in cancer, functioning both as drivers of drug resistance and as tools for therapy. Tumor-derived exosomes facilitate intercellular communication through selective transfer of bioactive cargo, including proteins (e.g., P-gp, ... read more

A hierarchical prototype-graph with optimal-transport matching for few-shot rice disease recognition.

Scientific reports Jul 20, 2026

Accurate identification of rice diseases from field images is critical for crop health monitoring and sustainable agriculture, particularly in low-resource environments. However, most deep learning approaches depend on large-scale labeled datasets an... read more

BeanGPT: a domain-specific retrieval-augmented generation system for Phaseolus vulgaris research.

Plant methods Jul 19, 2026

BeanGPT is a domain-specific retrieval augmented generation system designed to support research and breeding decisions in common bean (Phaseolus vulgaris L.) by transforming natural language questions into citation-backed, verifiable answers. The pla... read more

Graph-augmented transformer networks and explainable AI for economic impact forecasting in disrupted supply chains.

Scientific reports Jul 19, 2026

This study proposes a hybrid AI model which integrates Graph Neural Networks and Transformer models to predict the economic consequence of the disruption of the supply chains with unprecedented accuracy (MAPE: 3.7%). The framework is based on multi-d... read more

Artificial Intelligence Medical Compendium