Artificial Intelligence Medical Compendium

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

Showing 73,291 to 73,300 of 235,503 articles

Machine learning-driven inverse design of puncture needles with tailored mechanics.

Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy
BACKGROUND: In minimally invasive surgery, designing puncture needles with customizable structures to achieve personalized puncture performance is a significant challenge. Existing reverse design methods struggle to capture the complex nonlinear beha... read more 

Machine Learning Model for Predicting Visual Acuity Improvement After Intrastromal Corneal Ring Surgery in Patients With Keratoconus.

Cornea
BACKGROUND: Keratoconus is a progressive, degenerative corneal disease that can lead to significant visual impairment. The intrastromal ring segment implantation procedure is effective in reshaping the cornea and improving vision. However, vision doe... read more 

Digital Pathology in Hematopathology: From Vision to Deployment.

International journal of laboratory hematology
Digital pathology (DP) has evolved alongside other technical advances, transforming our daily lives and diagnostic medicine. It is likely that, as in other areas of life, science, and medicine, the overall level of digitization will continue to rise,... read more 

A Semi-supervised Reinforcement Learning Framework Incorporating the Multi-scale IncepMambaNet Network for Glaucoma Progression Prediction.

Interdisciplinary sciences, computational life sciences
Glaucoma is the leading cause of irreversible blindness worldwide. Currently, artificial intelligence (AI) technology combined with optical coherence tomography (OCT) and visual field testing is widely used for glaucoma progression prediction. Howeve... read more 

Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.

GeroScience
Delirium is a severe and common complication among critically ill patients, particularly those with SARS-CoV-2 infection, contributing to increased morbidity and mortality. Early identification of at-risk patients is crucial for timely intervention a... read more 

Endodontic diagnostics training in undergraduate dental education: An observational pilot study on AI-driven virtual patient e-learning.

International endodontic journal
AIM: To develop and evaluate an e-learning tool utilizing a generative pre-trained transformer (GPT), a form of artificial intelligence (AI), to allow for realistic conversation on virtual patients when undergoing training on how to diagnose diseases... read more 

Human-Like Epistemic Trust? A Conceptual and Normative Analysis of Conversational AI in Mental Healthcare.

The American journal of bioethics : AJOB
The attribution of human concepts to conversational artificial intelligence (CAI) simulating human characteristics and conversation in psychotherapeutic settings presents significant conceptual and normative challenges. First, this article analyzes t... read more 

Advances in cardiac devices and bioelectronics augmented with artificial intelligence.

The Journal of physiology
Diagnostic bioelectronics such as the electrocardiogram have become increasingly prevalent in the management of cardiovascular diseases like atrial fibrillation. While these devices provide meaningful clinical value, their complex and profuse data ou... read more 

EuroSCORE II: Current limitations and physiological gaps in risk stratification.

Experimental physiology
Risk stratification remains critical in cardiac surgery, enabling clinicians to predict adverse outcomes and guide perioperative management. The European System for Cardiac Operative Risk Evaluation (EuroSCORE) II, introduced in 2011, incorporates 18... read more 

Neural features underlying high-accuracy classification of amnestic mild cognitive impairment using multi-sensory-evoked potentials.

GeroScience
Early detection of amnestic mild cognitive impairment (aMCI) is crucial for timely interventions. This study combines scalp recordings of lateralized auditory, visual, and somatosensory stimuli with a flexible and interpretable support vector machine... read more