Artificial Intelligence Medical Compendium

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

Showing 13,331 to 13,340 of 211,153 articles

Hallucination risk and trustworthiness of generative AI systems based on IVMPF-MABAC decision-making strategies.

Scientific reports
Hallucination risk and trustworthiness of a generative artificial intelligence system play an important and vital role in daily-life scenarios. The terms Hallucination risk and trustworthiness are very famous for the generative artificial intelligenc... read more 

Integrating temporal morphophysiological and genomic markers for precise classification of flowering time in cannabis.

Scientific reports
Indigenous Cannabis sativa populations exhibit remarkable diversity in their flowering-time responses to photoperiod cues, reflecting adaptation to varied environments. Understanding the genetic and physiological mechanisms underlying this variation ... read more 

Development and validation of a machine learning-based risk prediction model for hyperkalemia in patients with chronic kidney disease.

Scientific reports
To develop an optimal predictive model for hyperkalemia in patients with chronic kidney disease (CKD). Clinical data of CKD patients were collected from Shandong Provincial Hospital Affiliated to Shandong First Medical University between January 2017... read more 

Patient-friendly simplification and translation of neuroradiology impressions using artificial intelligence.

Scientific reports
Healthcare systems in the United States are now mandated to provide patients with immediate access to medical results. Access to complex results prior to appropriate clinical follow-up may cause confusion and fear, especially in populations with limi... read more 

Design and classify innovative antimicrobial and dual- and multi-functional peptides using generative artificial intelligence.

Scientific reports
Antimicrobial resistance is a growing global crisis, where antimicrobial peptides (AMPs) have emerged as promising alternatives to conventional antibiotics due to their unique mechanisms of action. However, traditional peptide design approaches, espe... read more 

An explainable multi-stage framework for brain tumor classification using hybrid feature fusion and EfficientNetB5 model.

Scientific reports
Accurate recognition and classification of severity level of brain tumor (BT) is essential for clinical decision making. Manual assessment of brain tumor is a laborious and time consuming task for Experts. Existing deep learning (DL) models have been... read more 

Microscopic image enhancement for accurate sickle cell disease identification using intuitionistic fuzzy driven retinex.

Scientific reports
Sickle cell disease (SCD) is a debilitating genetic blood disorder that must be identified and diagnosed early for effective treatment planning. Several factors hinder early identification in microscopic images, including uneven blood smears, lack of... read more 

Machine learning evaluation of TyG-based metrics for arteriosclerosis progression.

Scientific reports
Insulin resistance (IR) is a significant risk factor for arteriosclerosis. The triglyceride-glucose (TyG) index and its obesity-related derivatives (TyG-BMI, TyG-WC, and TyG-WHtR) have emerged as reliable markers of IR. While diabetes, a consequence ... read more 

Pan-cancer analysis of single-cell profiles with polygenic signals reveals genetic influences on tumor immunity across cancers.

Communications biology
Inherited genetic variation can weaken the ability of the immune system to detect and eliminate malignant cells, limiting the effectiveness of cancer immunotherapy. However, how germline polymorphisms shape the tumor immune microenvironment across ca... read more 

Machine learning and artificial intelligence in liquid biopsy-based early detection of pancreatic cancer: a scoping review.

BJC reports
Pancreatic ductal adenocarcinoma (PDAC) presents as a cancer with an especially poor prognosis, largely due to the challenges surrounding its early diagnosis. Liquid biopsy has emerged as a promising, noninvasive method for screening across a variety... read more