Artificial Intelligence Medical Compendium

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

Showing 73,521 to 73,530 of 235,503 articles

Modelling key ecological factors influencing the distribution and content of silymarin antioxidant in Silybum marianum L.

PloS one Jul 11, 2025
The increasing demand for natural medicine has increased the significance of Silybum marianum as a valuable medicinal plant. It is used to restore liver cells; reduce blood cholesterol; prevent prostate, skin, and breast cancer; and protect cervical ... read more 
Ecosystem Antioxidants Algorithms Silymarin Silybum marianum Iran Support Vector Machine

In defense of empathic informatics.

Journal of the American Medical Informatics Association : JAMIA Jul 11, 2025
OBJECTIVES: To explore the potential effects of recent restrictions on discussions regarding diversity, equity, and inclusion (DEI) in the field of biomedical informatics. read more 

Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics.

PloS one Jul 11, 2025
Crude cone snail venom is a rich source of bioactive compounds with significant therapeutic potential. In this study, we conducted a comprehensive analysis of 5,985 cone snail peptides across 82 Conus species to identify unique cysteine (Cys) pattern... read more 
Machine Learning Animals Conotoxins Mollusk Venoms Conus Snail Peptides Cysteine Amino Acid Sequence

Optimizing EV charging stations and power trading with deep learning and path optimization.

PloS one Jul 11, 2025
The rapid growth of electric vehicles (EVs) presents significant challenges for power grids, particularly in managing fluctuating demand and optimizing the placement of charging infrastructure. This study proposes an integrated framework combining de... read more 
Deep Learning Electricity Algorithms Electric Power Supplies Humans

Raising awareness of potential biases in medical machine learning: Experience from a Datathon.

PLOS digital health Jul 11, 2025
OBJECTIVE: To challenge clinicians and informaticians to learn about potential sources of bias in medical machine learning models through investigation of data and predictions from an open-source severity of illness score. read more 

Neural network approaches, including use of topological data analysis, enhance classification of human induced pluripotent stem cell colonies by treatment condition.

PLoS computational biology Jul 11, 2025
Understanding how stem cells organize to form early tissue layers remains an important open question in developmental biology. Helpful in understanding this process are biomarkers or features that signal when a significant transition or decision occu... read more 

A new method for ranking q-rung ortho-pair fuzzy numbers and application.

PloS one Jul 11, 2025
The effectiveness of the q-rung ortho-pair fuzzy multi-attribute decision-making method is primarily influenced by the q-rung ortho-pair fuzzy number ranking method. This paper conducts an in-depth analysis of the shortcomings of eight existing q-run... read more 
Fuzzy Logic Decision Making Algorithms

Picoeukaryote-based biohybrid microrobots for active delivery in the kidney.

Science advances Jul 11, 2025
Confined spaces in the human body pose substantial challenges for biomedical procedures. Navigating these ultrasmall environments is essential for precise drug delivery, improving treatment outcomes and reducing adverse effects. Microrobots offer a p... read more 
Robotics Kidney Drug Delivery Systems Mice Animals Humans

Regulatory Insights From 27 Years of Artificial Intelligence/Machine Learning-Enabled Medical Device Recalls in the United States: Implications for Future Governance.

JMIR medical informatics Jul 11, 2025
BACKGROUND: Artificial intelligence/machine learning (AI/ML) has revolutionized the health care industry, particularly in the development and use of medical devices. The US Food and Drug Administration (FDA) has authorized over 878 AI/ML-enabled medi... read more 
Artificial Intelligence United States Machine Learning Humans Device Approval Medical Device Recalls United States Food and Drug Administration

Size-Specific Predictors for Malignancy Risk in Follicular Thyroid Neoplasms: Machine Learning Analysis.

JMIR cancer Jul 11, 2025
BACKGROUND: Surgeons often face challenges in distinguishing between benign and malignant follicular thyroid neoplasms (FTNs), particularly small tumors, until diagnostic surgery is performed. read more 
Adenocarcinoma, Follicular Tumor Burden Male Middle Aged Adult Female Thyroid Neoplasms Machine Learning Aged Ultrasonography Retrospective Studies China Humans Risk Factors
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