Artificial Intelligence
New Method Combines EEG, MRI, and ML to Identify Seizure-Prone Brain Regions Before Surgery
A novel method integrates standard scalp EEG readings with MRI data to map brain structures and employs machine learning to identify the brain areas most likely to generate seizures during neurosurgery in patients with drug-resistant epilepsy. More...29 Aug 2024
Human-Centered AI Tool Predicts Patient’s Sepsis Risk Within Four Hours
An AI tool designed to assist clinicians in making decisions about patients at risk of sepsis accounts for uncertainties in its predictions and suggests additional information, such as demographic data, vital signs, and lab test results, needed to enhance its accuracy. More...28 Aug 2024
.jpeg "Image: The NAVOY algorithm assists in predicting ICU patients’ risk of developing sepsis (Photo courtesy of AlgoDx)")
POC Sepsis Detection Software Provides Clinicians with Early Warning of Patient Deterioration in ICU
An AI solution offers the potential to improve sepsis care by providing healthcare providers with a powerful tool to identify patients at risk in the Emergency Department as well as other hospital wards. More...26 Aug 2024
AI Automates Detection of Mitral Regurgitation on Echocardiograms for Minimally Invasive Procedure or Surgery
Researchers have developed an AI program to detect the presence and severity of mitral valve regurgitation from echocardiograms that could help identify patients for a minimally invasive procedure or surgery. More...23 Aug 2024
AI-Assisted GI Endoscopy Enables Accurate Detection of Colorectal Cancer
A novel device designed for the rapid detection of gastrointestinal cancer delivers accurate results, enhancing preventive medicine in gastrointestinal malignancy and reducing the incidence of colorectal cancer. More...19 Aug 2024
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In Other News
Machine Learning Detects Cardiovascular Diseases Before Symptoms Appear
World's First AI Model Capable of Expert-Level Clinical EEG Interpretation
AI Enhances Early-Stage Detection of Esophageal Cancers During Routine Endoscopy
AI Algorithm Non-Invasively Measures Intracranial Pressure in ICU Patients Following Traumatic Brain Injury
AI-Integrated Wearable Sensor Accurately Measures Step Length for Evaluation of Neurological Diseases
AI Model Accurately Predicts Continuous Renal Replacement Therapy Survival
AI-Powered Tool Combs through Electronic Health Records For Faster Diagnoses of Rare Diseases
AI Automatically Determines Insulin Dosing for Improved Blood Sugar Control in Hospitalized Patients
Smartphone Face-Screening Tool Helps Paramedics Identify Stroke in Seconds
Robotics Combined with AI Improves Safety in Emergency Stroke Surgeries
AI-Generated Real-Time Alerts for Declining Health Speeds Up Treatment and Reduces Hospital Deaths
AI Camera Technology Helps Doctors Quickly Assess Severity of Infections
Machine Learning Delivers Personalized Oxygenation for Patients on Ventilators
New AI Algorithm Detects Rare Epileptic Seizures from EEG Data
Facial Thermal Imaging Combined with AI Predicts Coronary Artery Disease
AI Technology Predicts Cardiac Events 10 Years in Advance
New Machine Learning Method Better Predicts Spine Surgery Outcomes
AI Doubles Medical Professionals’ Accuracy in Reading EEG Charts of ICU Patients
Powerful AI Risk Assessment Tool Predicts Outcomes in Heart Failure Patients
AI Can Prioritize ED Patients Requiring Urgent Treatment
AI to Improved Diagnosis of Atrial Fibrillation
Artificial Intelligence Broadens Diagnostic Abilities of Conventional Coronary Angiography
Machine Learning Tool Identifies Rare, Undiagnosed Immune Disorders from Patient EHRs
The Artificial Intelligence channel of HospiMedica keeps the reader informed about the latest news in AI-based clinical decision making, Medical knowledge engineering, Intelligent medical information systems and additional related fields.