AI for Predicting Resistance in Gram-Negative Bloodstream Infections: A New Frontier in Sepsis Management

Gram-negative bloodstream infections (GN-BSI) remain among the most severe and lethal infectious diseases, particularly in intensive care units and regions where multidrug resistance (MDR) is endemic.

Updated on: July 07,2025 0

AI for Predicting Resistance in Gram-Negative Bloodstream Infections: A New Frontier in Sepsis Management

Gram-negative bloodstream infections (GN-BSI) remain among the most severe and lethal infectious diseases, particularly in intensive care units and regions where multidrug resistance (MDR) is endemic.

Updated on:July 07,2025 0

Closing the Governance Gap: A Framework for Regulating AI/ML Medical Devices

Updated on: July 07,2025 0

Closing the Governance Gap: A Framework for Regulating AI/ML Medical Devices

Updated on:July 07,2025 0

Remote and Unsupervised Digital Cognitive Assessments in Preclinical Alzheimer’s Disease: A Scoping Review

Updated on: June 28,2025 0

Remote and Unsupervised Digital Cognitive Assessments in Preclinical Alzheimer’s Disease: A Scoping Review

Updated on:June 28,2025 0

Precision in Practice: AI-Enhanced 3D Printing Reshapes Surgical Simulation in Hepatobiliary Care

Updated on: July 02,2025 0

Precision in Practice: AI-Enhanced 3D Printing Reshapes Surgical Simulation in Hepatobiliary Care

Updated on:July 02,2025 0

AI-Powered Analysis of Web-Based Voice Recordings for Suicide Risk Prediction: A Frontier in Digital Mental Health

Suicide remains a pressing global public health issue, particularly among youth and marginalized populations. Traditional risk assessments often depend on self-reported symptoms and sporadic clinical evaluations, both of which can fail to identify individ

Updated on: July 21,2025 0

AI-Powered Analysis of Web-Based Voice Recordings for Suicide Risk Prediction: A Frontier in Digital Mental Health

Suicide remains a pressing global public health issue, particularly among youth and marginalized populations. Traditional risk assessments often depend on self-reported symptoms and sporadic clinical evaluations, both of which can fail to identify individ

Updated on:July 21,2025 0

Physics-Informed Machine Learning: A New Frontier in Personalized Disease Prediction, Prevention, and Management

Updated on: July 02,2025 0

Physics-Informed Machine Learning: A New Frontier in Personalized Disease Prediction, Prevention, and Management

Updated on:July 02,2025 0

Augmented Intelligence at Eye Level: Integrating AI-Driven Smart Glasses into Proactive Healthcare

Updated on: July 25,2025 0

Augmented Intelligence at Eye Level: Integrating AI-Driven Smart Glasses into Proactive Healthcare

Updated on:July 25,2025 0

Detail-Preserving Denoising in Medical Imaging: A Hybrid Framework for CT and MRI

Updated on: July 25,2025 0

Detail-Preserving Denoising in Medical Imaging: A Hybrid Framework for CT and MRI

Updated on:July 25,2025 0

From Waste to Wellness: Integrating Fractional Fuzzy Logic and Multimodal AI in Smarter Healthcare

Updated on: July 25,2025 0

From Waste to Wellness: Integrating Fractional Fuzzy Logic and Multimodal AI in Smarter Healthcare

Updated on:July 25,2025 0

A Window to the Womb: Leveraging AI and Retinal Vascular Imaging for Early, Non-Invasive Diagnosis of Preeclampsia

Preeclampsia is a leading cause of maternal and fetal morbidity and mortality, affecting 2–8% of pregnancies globally. Each year, it accounts for approximately 46,000 maternal and over 500,000 fetal deaths, disproportionately burdening low-resource settin

Updated on: July 25,2025 0

A Window to the Womb: Leveraging AI and Retinal Vascular Imaging for Early, Non-Invasive Diagnosis of Preeclampsia

Preeclampsia is a leading cause of maternal and fetal morbidity and mortality, affecting 2–8% of pregnancies globally. Each year, it accounts for approximately 46,000 maternal and over 500,000 fetal deaths, disproportionately burdening low-resource settin

Updated on:July 25,2025 0