Author: Mohammad Motaghianfar Abstract Background: Autism screening tools like the AQ-10 were largely developed in Western settings. When used globally, they may unintentionally favor certain[…]
Author: Mohammad Motaghianfar Abstract Background: Healthcare costs are rising quickly, and understanding what drives them has become essential. Traditional prediction models often miss the mark[…]
Author: Mohammad Motaghianfar Abstract Heart disease is a global killer, and lifestyle changes like quitting smoking are key to prevention. But not everyone benefits the[…]
Author: Mohammad Motaghianfar Abstract Heart disease is a major global health issue, and lifestyle changes like quitting smoking are often recommended to prevent it. However,[…]
Author: Mohammad Motaghianfar Abstract Parkinson’s Disease (PD) affects millions globally, with speech changes often appearing early. Most AI models need large amounts of labeled data,[…]
Author: Mohammad Motaghianfar Abstract Keeping blood pressure (mean arterial pressure, MAP) above 65 mmHg is standard in critical care, but studies often get skewed because[…]
Author: Mohammad Motaghianfar Abstract Coronary Artery Disease (CAD) varies widely in how it affects people, making personalized treatment tricky. Standard methods focus on how blocked[…]
Author: Mohammad Motaghianfar Abstract Breast cancer diagnosis with AI faces hurdles like uneven datasets, overly confident wrong predictions, and no way to measure uncertainty, which[…]
Author: Mohammad Motaghianfar Abstract Heart disease varies widely as people age, but tracking it over time is costly and complex. Cross-sectional data offers a cheaper[…]