Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 73,251 to 73,260 of 235,503 articles

Investigating the interpretability of ChatGPT in mental health counseling: An analysis of artificial intelligence generated content differentiation.

Computer methods and programs in biomedicine
The global impact of COVID-19 has caused a significant rise in the demand for psychological counseling services, creating pressure on existing mental health professionals. Large language models (LLM), like ChatGPT, are considered a novel solution for... read more 

Predicting metabolite-disease associations based on dynamic adaptive feature learning architecture.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: In recent years, the association between metabolites and complex human diseases has increasingly been recognized as a major research focus. Traditional wet-lab experiments are considered time-consuming and labor-intensive, w... read more 

A machine learning-driven transcriptomic study reveals the key role of Romo1 in reversing central sensitization through stellate ganglion block in migraine: An interventional study based on a recurrent migraine rat model.

Headache
OBJECTIVES/BACKGROUND: This study utilized a nitroglycerin (NTG)-induced chronic migraine rat model to explore the therapeutic effects and underlying mechanisms of stellate ganglion block (SGB), aiming to clarify the potential pathogenesis of migrain... read more 

Coronary CT angiography evaluation with artificial intelligence for individualized medical treatment of atherosclerosis: a Consensus Statement from the QCI Study Group.

Nature reviews. Cardiology
Coronary CT angiography is widely implemented, with an estimated 2.2 million procedures in patients with stable chest pain every year in Europe alone. In parallel, artificial intelligence and machine learning are poised to transform coronary atherosc... read more 

Scale-equivariant deep model-based optoacoustic image reconstruction.

Photoacoustics
Model-based reconstruction provides state-of-the-art image quality for multispectral optoacoustic tomography. However, optimal regularization of in vivo data necessitates scan-specific adjustments of the regularization strength to compensate for fluc... read more 

PD-L1 expression assessment in Angiosarcoma improves with artificial intelligence support.

Journal of pathology informatics
Tumoral PD-L1 expression is assessed to weigh immunotherapy options in the treatment of various types of cancer. To determine PD-L1 expression, each tumor cell needs to be assessed to calculate the percentage of PD-L1 positive tumor cells, called tum... read more 

Comprehensive smartphone image dataset for fish species identification in Bangladesh's freshwater ecosystems.

Data in brief
The Bangladesh Fish Species Identification dataset encompasses 24,925 images representing 21 freshwater species commonly found in the rivers and ponds of Bangladesh. Photographs were taken using smartphones under carefully controlled conditions to en... read more 

Proceedings of the Association for Pathology Informatics Bootcamp 2023: Ethics, equity, and regulations.

Journal of pathology informatics
The Pathology Informatics Bootcamp is held annually at the Pathology Informatics Summit and provides pathology trainees with knowledge about both core and emerging topics in the rapidly evolving field of Pathology Informatics. In 2023, the Bootcamp f... read more 

Deep learning predicts the effect of neoadjuvant chemotherapy for patients with triple negative breast cancer.

Journal of pathology informatics
BACKGROUND: Triple negative breast cancer (TNBC) is an aggressive subcategory of breast cancer with poor prognosis and high risk of recurrence after treatment. In a subset of cases systemic chemotherapy is offered before surgery, so called neoadjuvan... read more 

Are clinical improvements in large language models a reality? Longitudinal comparisons of ChatGPT models and DeepSeek-R1 for psychiatric assessments and interventions.

The International journal of social psychiatry
BACKGROUND: Potential clinical applications for emerging large-language models (LLMs; e.g. ChatGPT) are well-documented, and newer systems (e.g. DeepSeek) have attracted increasing attention. Yet, important questions endure about their reliability an... read more