Artificial Intelligence Medical Compendium

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

Showing 33,561 to 33,570 of 221,422 articles

Identification of biomarkers for non-invasive diagnosis and risk stratification in prostate cancer using NMR-based metabolomics and machine learning.

NPJ precision oncology
The non-invasive diagnosis and risk stratification of prostate cancer (PCa) remain clinically challenging due to the limited specificity of prostate-specific antigen (PSA). In this retrospective study, we applied a comparative machine learning (ML) f... read more 

Impact of an AI prognostic tool on clinician performance in colorectal liver metastases.

NPJ digital medicine
While thousands of AI prediction models are published annually, few are adopted into routine practice, partly because improved statistical performance does not necessarily translate into meaningful impact on clinical decision-making. We conducted a p... read more 

The trRosettaRNA server for RNA structure prediction.

Nature protocols
Similar to proteins, many RNAs fold into three-dimensional (3D) structures to perform biological functions. Here we present the trRosettaRNA server, a web-based platform for automated RNA 3D structure prediction using deep learning. The primary input... read more 

ClinicRealm: Re-evaluating large language models with conventional machine learning for non-generative clinical prediction tasks.

NPJ digital medicine
Large Language Models (LLMs) are increasingly deployed in medicine. However, their utility for non-generative clinical prediction is under-evaluated, and they are often assumed to be inferior to specialized models, creating potential for misuse and m... read more 

Automated quantification of coronal balance in spinal deformity: a safety-aware clinical workflow.

Scientific reports
The assessment of coronal balance is critical for cosmetic appearance and quality of life in patients with adolescent idiopathic scoliosis (AIS), yet its manual quantification remains constrained by substantial workflow demands and inherent subjectiv... read more 

High-accuracy retinal age prediction via fundus-based multitask learning reveals the effect of systemic disease.

Communications medicine
BACKGROUND: Accurate estimation of the retinal age, defined as the age predicted from fundus photographs by a deep-learning model trained on chronological age, provides a non-invasive biomarker of biological ageing and disease risk. METHODS: In this ... read more 

Multi-omics approaches reveal erythroid progenitor cell in cancer: from passive bystander to active player.

Oncogene
Cancer remains a leading cause of human mortality worldwide, imposing a substantial public health burden. A deep understanding of the tumor microenvironment (TME) is essential for improving cancer care. Erythroid progenitor cells (EPCs) were traditio... read more 

Assessing predictive accuracy of 2D digital templating in fluoroscopy-guided direct anterior approach total hip arthroplasty.

Musculoskeletal surgery
INTRODUCTION: Preoperative 2D digital templating aids surgical planning in total hip arthroplasty (THA). We evaluated template accuracy by comparing preoperative templated measurements with postoperative findings and final implant sizes. METHODS: We ... read more 

EcoRxAgent: an AI agent for generating economically substitutable prescriptions.

NPJ digital medicine
The prescription is a critical bridge between medical diagnosis and therapeutic intervention, embodying a complex decision that balances medical evidence, clinical experience, and individual patient needs. However, the prescribing process faces signi... read more 

Towards noninvasive blood count using a deep learning pipeline from bulbar conjunctiva videos.

NPJ digital medicine
Invasive venous blood draws remain the clinical standard for hematology, yet they are invasive, time-consuming, and costly. We introduce Video-to-Vessels, a computer-vision pipeline that converts high-magnification videos of bulbar conjunctiva capill... read more