Artificial Intelligence Medical Compendium

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

Showing 73,531 to 73,540 of 235,503 articles

Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study.

Journal of medical Internet research
BACKGROUND: Given the challenges faced during percutaneous coronary intervention (PCI) for heavily calcified lesions, accurately predicting PCI success is crucial for enhancing patient outcomes and optimizing procedural strategies. read more 

Liver Retransplantation: Identifying Factors and Developing a Risk Prediction Model to Predict Futility in the Modern Era.

Transplantation
BACKGROUND: Liver retransplantation (rLT) results have traditionally been inferior compared with those of primary liver transplantation. Understanding the risks and anticipated outcomes is essential for patient counseling and obtaining informed conse... read more 

Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline.

Journal of medical Internet research
BACKGROUND: Large language models (LLMs) can generate outputs understandable by humans, such as answers to medical questions and radiology reports. With the rapid development of LLMs, clinicians face a growing challenge in determining the most suitab... read more 

Machine-Learning-Driven Discovery of -Phenylbenzenesulfonamides as a Novel Chemotype for Lactate Dehydrogenase A Inhibition with Anti-Pancreatic Cancer Activity.

Journal of medicinal chemistry
Lactate dehydrogenase A (LDHA) is a promising target for cancer therapy due to its crucial role in aerobic glycolysis. Despite extensive efforts, the structural diversity of LDHA inhibitors remains limited. Here, we utilized machine learning techniqu... read more 

Narratives in the nascent policy subsystem of AI biometrics.

Politics and the life sciences : the journal of the Association for Politics and the Life Sciences
The Biden administration requested comments regarding "Public and Private Sector Uses of Biometric Technologies" in the Federal Register from October 2021 to January 2022. This generated 130 responses, helped shape the "Blueprint for an AI Bill of Ri... read more 

ST-CFI: Swin Transformer with convolutional feature interactions for identifying plant diseases.

Scientific reports
The increasing global population, coupled with the diminishing availability of arable land, has rendered the challenge of ensuring food security more pronounced. The prompt and precise identification of plant diseases is essential for reducing crop l... read more 

Machine learning-assisted assessment of extracellular vesicles can monitor cellular rejection after heart transplant.

Communications medicine
BACKGROUND: Heart transplant rejection, particularly acute cellular rejection (ACR), remains a critical post-operative concern, despite declining incidence rates. Current diagnostic standards rely on invasive endomyocardial biopsy, which presents lim... read more 

SPP1 promotes malignant characteristics and drug resistance in hepatocellular carcinoma by activating fatty acid metabolic pathway.

Functional & integrative genomics
Hepatocellular carcinoma (HCC) progression and prognosis are influenced by various molecular markers. This study aimed to identify the hub gene associated with HCC clinical characteristics and its role in HCC progression. Differentially expressed gen... read more 

A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes.

Head & face medicine
BACKGROUND: Orthopantomograms (OPGs) are essential diagnostic tools in dental and maxillofacial care, providing a panoramic view of the jaws, teeth, and surrounding bone structures. Detecting bone loss, which indicates periodontal disease and systemi... read more