Artificial Intelligence Medical Compendium

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

Showing 69,431 to 69,440 of 233,923 articles

PCB-defect: An annotated dataset for surface defect detection in printed circuit boards.

Data in brief
The PCB-Defect dataset was developed to advance automated defect detection in Printed Circuit Boards. This dataset presents a comprehensive collection of 230 annotated high-resolution images of single-layer PCBs, manufactured through a controlled lab... read more 

Battery SOH estimation based on thermodynamic parameters from an electrochemical fractional-order model and LSTM.

iScience
Accurate state of health (SOH) estimation is vital for lithium-ion battery safety and performance. Since SOH cannot be directly measured, traditional methods rely on external features or models but often suffer from low interpretability and complex m... read more 

Not Ready for Prime Time: Limitations of a Retrieval-Augmented Generation Large Language Model in Assessing Risk of Bias in Observational Studies.

Journal of the Pediatric Orthopaedic Society of North America
BACKGROUND: Current research has focused on the use of large language models (LLMs) to augment systematic reviews. LLMs are limited by their vulnerability to "hallucinations"; retrieval-augmented generation (RAG) reduces these by limiting the model's... read more 

Application of a natural language processing algorithm to early asthma ascertainment for adults in the era of electronic health records.

The journal of allergy and clinical immunology. Global
BACKGROUND: The natural language processing (NLP) algorithm for predetermined asthma criteria (NLP-PAC) was successfully developed and validated for automatically ascertaining pediatric asthma from electronic health record (EHRs) systems. A scalable,... read more 

Data-driven 1D design model for monotonic lateral loading of monopile foundations.

MethodsX
Monopiles are a widely-used foundation system for offshore wind turbine support structures. In current practice, design calculations typically employ one-dimensional (1D) models in which the monopile is represented as an embedded beam. The current st... read more 

An accurate, straightforward computer vision algorithm for optimal tumor-feeding visualization in cone-beam computed tomography hepatic arteriography: A preliminary study.

Clinical radiology
AIM: Although standardized 3D volume rendering techniques (VRT) and embolization guidance visualize and identify tumor-feeding arteries, current vessel tracking software lacks automatic angle recommendations. This forces an operator, e.g. an interven... read more 

Manuscript title: Impact of vessel suppression AI on reading efficiency and nodule detection in CT chest.

Current problems in diagnostic radiology
BACKGROUND: Vessel suppression (VS) software enhances pulmonary nodule conspicuity by attenuating vascular and fissural structures, but real-world impact on clinical workflows remains uncertain. METHODS: We retrospectively analyzed 8,835 chest CT exa... read more 

Applications of artificial intelligence-based conversational agents in healthcare: A systematic umbrella review.

International journal of medical informatics
BACKGROUND: Artificial intelligence-based conversational agents (AI-based CAs) have emerged as essential tools for communication and service delivery in the healthcare industry. However, global synthesis regarding the current applications and effecti... read more 

The added value of radiomic analysis for predicting spontaneous preterm birth in the first trimester.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Preterm birth (PTB) is a public health problem. Researchers have worked to identify ways to detect women at risk for PTB early in pregnancy. Although existing biomarkers allow some women to be detected in the second trimeste... read more