Artificial Intelligence Medical Compendium

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

Showing 51,231 to 51,240 of 225,182 articles

Integrated machine learning and density functional theory to design C₃N₅ piezo-catalysts toward precise control of selective reactive oxygen species and efficient water purification.

Journal of hazardous materials Feb 12, 2026
The precise modulation of reactive oxygen species (ROS) generation pathways is crucial for enhancing the selectivity and efficiency of piezo-catalytic water purification. Herein, we report a mechanism-informed machine learning (ML) strategy integrati... read more 

A simplified co-culture reveals altered cardiotoxic responses to doxorubicin in hPSC-derived cardiomyocytes in the presence of endothelial cells.

Stem cell reports Feb 12, 2026
Cardiotoxicity is a significant challenge in cancer therapies, particularly with doxorubicin, a widely used anthracycline. More predictive in vitro models are needed to understand doxorubicin-induced cardiac damage and patient-specific responses. Her... read more 

eccDNA2Ca: an ensemble deep learning framework for interpretable prediction of cancer-associated extrachromosomal circular DNA.

Journal of advanced research Feb 12, 2026
BACKGROUND: Extrachromosomal circular DNA (eccDNA) is increasingly recognized as a critical driver of oncogene amplification, therapeutic resistance, and intratumoral heterogeneity in cancer. However, existing computational approaches predominantly f... read more 

Early detection of female-specific cancers using longitudinal healthcare records with a multichannel convolutional neural network.

BMJ health & care informatics Feb 12, 2026
OBJECTIVES: Female-specific cancers, including breast, ovarian, cervical and uterine malignancies, lack comprehensive early detection approaches, particularly for ovarian and endometrial cancers where effective population-level screening remains limi... read more 

Artificial intelligence to improve the detection and risk stratification of acute pulmonary embolism (AID-PE): protocol for a pragmatic quasi-experimental comparator study.

BMJ open Feb 12, 2026
INTRODUCTION: Pulmonary embolism (PE) is a potentially fatal condition requiring timely diagnosis and treatment. CT pulmonary angiography (CTPA) is the gold standard for diagnosis and indicates PE severity through radiological markers of right heart ... read more 

Development and validation of a machine learning model for prediction of 1-year mortality following ST-elevation myocardial infarction: a retrospective cohort study.

BMJ open Feb 12, 2026
OBJECTIVES: To develop a machine learning (ML)-based risk prediction model for 1-year mortality in ST-elevation myocardial infarction (STEMI) patients undergoing primary or rescue percutaneous coronary intervention. DESIGN: Patient data, including de... read more 

Start4All protocol for a Bayesian cost-effectiveness model of tuberculosis screening and diagnosis in seven high burden low-income and middle-income countries.

BMJ open Feb 12, 2026
INTRODUCTION: High costs of screening and diagnostic tests remain a major barrier to timely tuberculosis (TB) identification in resource-limited settings. Evidence on the cost-effectiveness of scalable screening algorithms is limited. Start4All is a ... read more 

When to and when not to use machine learning in risk prediction models.

The Lancet. Digital health Feb 12, 2026
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The use of advanced machine learning to predict outcomes after atezolizumab plus bevacizumab for advanced hepatocellular carcinoma: a retrospective cohort study.

The Lancet. Digital health Feb 12, 2026
BACKGROUND: Combination immune checkpoint inhibitors are recommended as first-line therapy for advanced hepatocellular carcinoma. However, only a third of patients respond to treatment, and improved approaches to predict response are required. Using ... read more 

[The Digital Lab: Practical digital workflow and integration of AI for routine in pathology, through the example of prostate cancer].

Annales de pathologie Feb 12, 2026
Digital pathology is a major technological revolution for pathology. It modernizes routine practices and paves the way for the integration of artificial intelligence (AI) solutions for diagnostic and research purposes. At Rennes University Hospital, ... read more 
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