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

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

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
FastGlioma: The AI Model Transforming Glioma Surgery

FastGlioma: The AI Model Transforming Glioma Surgery

Powered by artificial intelligence (AI), FastGlioma offers a new level of precision and efficiency in tumor detection, holding the potential to revolutionize glioma surgery.

FastGlioma: The AI Model Transforming Glioma Surgery

Powered by artificial intelligence (AI), FastGlioma offers a new level of precision and efficiency in tumor detection, holding the potential to revolutionize glioma surgery.
AI advice influences radiologist and physician diagnostic decisions incorrectly, according to new study

AI advice influences radiologist and physician diagnostic decisions incorrectly, according to new study

byRadiological Society of North AmericaChest radiograph (CXR) examples of (A, C) local (feature-based) AI explanations and (B, D) global (prototype-based) AI explanations from a simulated AI too

AI advice influences radiologist and physician diagnostic decisions incorrectly, according to new study

byRadiological Society of North AmericaChest radiograph (CXR) examples of (A, C) local (feature-based) AI explanations and (B, D) global (prototype-based) AI explanations from a simulated AI too
Leveraging AI to Enhance Early Detection and Management of Diabetic Retinopathy

Leveraging AI to Enhance Early Detection and Management of Diabetic Retinopathy

Recent findings from a study published in the JAMA Ophthalmology have shed light on the underutilized potential of artificial intelligence (AI) in diagnosing diabetic retinopathy (DR), despite its proven effectiveness.

Leveraging AI to Enhance Early Detection and Management of Diabetic Retinopathy

Recent findings from a study published in the JAMA Ophthalmology have shed light on the underutilized potential of artificial intelligence (AI) in diagnosing diabetic retinopathy (DR), despite its proven effectiveness.
Editorial: AI is a transformative tool in precision oncology

Editorial: AI is a transformative tool in precision oncology

by Impact Journals LLCOverview of AI model development for use in oncology patients. Credit: McGale et al.A new editorial was published inOncotarget, titled "Artificial intelligence: A tran

Editorial: AI is a transformative tool in precision oncology

by Impact Journals LLCOverview of AI model development for use in oncology patients. Credit: McGale et al.A new editorial was published inOncotarget, titled "Artificial intelligence: A tran
Meta-prediction of Coronary Artery Disease Risk: A New Era of Personalized Prevention

Meta-prediction of Coronary Artery Disease Risk: A New Era of Personalized Prevention

By integrating advanced data science with personalized medicine, it opens the door to a future where heart disease is not only treatable—but preventable.

Meta-prediction of Coronary Artery Disease Risk: A New Era of Personalized Prevention

By integrating advanced data science with personalized medicine, it opens the door to a future where heart disease is not only treatable—but preventable.
Next-gen gene therapy vector for muscle diseases uses AI predictive methodology to improve efficacy and safety

Next-gen gene therapy vector for muscle diseases uses AI predictive methodology to improve efficacy and safety

by AFM-TéléthonComputational rational AAV capsid design to bind to αVβ6 integrin. Credit:Nature Communications(2024). DOI: 10.1038/s41467-024-52002-4A new study describes the use of artifi

Next-gen gene therapy vector for muscle diseases uses AI predictive methodology to improve efficacy and safety

by AFM-TéléthonComputational rational AAV capsid design to bind to αVβ6 integrin. Credit:Nature Communications(2024). DOI: 10.1038/s41467-024-52002-4A new study describes the use of artifi