Artificial Intelligence Medical Compendium

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

Showing 2,021 to 2,030 of 213,633 articles

Investigating the Potential Effects of Medical AI Systems on Physician Autonomy: Pretest of a Semistructured Qualitative Interview Guide.

JMIR formative research Jul 16, 2026
BACKGROUND: AI is an increasingly prominent feature of contemporary health care, with medical AI systems beginning to support diagnostic and therapeutic processes in many clinical domains. Alongside the anticipated benefits of these technologies, the... read more 

Development and Clinical Evaluation of a Large Language Model-Based System for Generating Patient-Friendly Echocardiography Reports: Two-Stage Retrospective Validation and Prospective Survey Study.

Journal of medical Internet research Jul 16, 2026
BACKGROUND: Standard echocardiography reports use complex terminology, limiting patient comprehension and exacerbating preconsultation anxiety. Large language models (LLMs) can transform technical data into patient-friendly narratives by incorporatin... read more 

Antibody-Free SPR Detection of Human Myoglobin in Serum by a Sandwich Configuration of Epitope-Imprinted Nanofilms and Nanoparticles.

ACS sensors Jul 16, 2026
Designing robust, fully synthetic receptors capable of selective protein detection remains critical for advanced clinical diagnostics. Molecularly imprinted polymers (MIPs) are a promising alternative to antibodies, but their application is often lim... read more 

Integrating CRISPR/Cas Biosensors with Advanced Platforms: A Holistic Path Toward Preamplification-free, Multiplexed, and Continuous Molecular Monitoring.

ACS sensors Jul 16, 2026
The paradigm of molecular diagnostics has been transformed by the repurposing of CRISPR-Cas systems from being gene-editing tools to nucleic acid detection engines with remarkable specificity and programmability. Both the SHERLOCK and DETECTR platfor... read more 

Evaluating Risk Factors Associating With Late Recurrence After Low-Dose-Rate Brachytherapy for Prostate Cancer Using Machine Learning.

The Prostate Jul 16, 2026
BACKGROUND: The Phoenix definition is widely used to define biochemical recurrence (BCR) after radiation therapy for prostate cancer; however, a definitive definition of cure remains unclear. This study aimed to identify factors associated with late ... read more 

Anticipating the Impact of AI on Diet and Exercise Apps: Foresight Study Applying the Futures Wheel.

Journal of medical Internet research Jul 16, 2026
AI has entered the wellness space through apps and wearables. These technologies can collect real-time data, infer lifestyle patterns, and dynamically generate nutrition and exercise recommendations. Generative AI personalizes diet and activity infor... read more 

Machine Learning Analysis of Sex Differences in Cardiovascular-Kidney-Metabolic Risk Factors and Prognosis Among Patients With Moderate-to-Severe Coronary Artery Calcification: Prospective Cohort Study.

Journal of medical Internet research Jul 16, 2026
BACKGROUND: Patients with coronary artery calcification exhibit notable sex differences in clinical presentation, particularly concerning the role of cardiovascular-kidney-metabolic (CKM) risk factors and their impact on prognoses. However, the preci... read more 

Machine Learning-Augmented Traditional Analysis of Lactate vs Lactate-to-Albumin Ratio for Predicting Mortality Risk in Patients With Sepsis: Large-Scale Retrospective Study.

JMIR medical informatics Jul 16, 2026
BACKGROUND: Effective risk stratification in sepsis remains a critical clinical challenge. Serum lactate is a cornerstone biomarker of metabolic dysfunction, yet its predictive limitations-particularly in patients without severe hyperlactatemia-are w... read more 

AI for Causality Assessment in Pharmacovigilance: Protocol for a Scoping Review.

JMIR research protocols Jul 16, 2026
BACKGROUND: Pharmacovigilance aims to protect patient safety by identifying and managing adverse events associated with pharmaceuticals. Determining the causality of these adverse events is central at both the individual case and population levels; h... read more 

A Hybrid CNN-Transformer Model with Crossover Boosted Cheetah Optimization for Prenatal Spina Bifida Identification from Ultrasound Images.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jul 16, 2026
OBJECTIVES: Spina bifida is a birth defect caused by the incomplete closure of the neural tube around the spinal cord. Earlier, various deep learning-based models were developed, but they failed to capture the fine details from the ultrasound images ... read more 
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