Risk prediction models for ovarian hyperstimulation syndrome: a systematic review and meta-analysis by Jinghui Liu, Fangli Liu, Wenqi Xu, Luwen Zhang, Qingmi Tian, Libaihe Du, Siyuan Li, Mingyang Zhang

“…Model calibration was performed in 10 studies, internal validation in 14 studies, and 2 studies conducted both internal and external validation. The PROBAST + AI assessment identified a high risk of bias across the included studies, primarily in the research design and statistical analysis domains. …”
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Impact of hypertension on coronary artery plaques and FFR-CT in type 2 diabetes mellitus patients: evaluation utilizing artificial intelligence processed coronary computed tomograp... by Yan Xi, Yi Xu, Zheng Shu

“…Patients were grouped into T2DM (n = 133), HTN (n = 442), T2DM (HTN+) (n = 256), and control (n = 320). AI assessed various CCTA parameters, including plaque components, high-risk plaques (HRPs), FFR-CT, severity of coronary stenosis using Coronary Artery Disease Reporting and Data System 2.0 (CAD-RADS 2.0), segment involvement score (SIS), and segment stenosis score (SSS). …”
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An Assessment of Human–AI Interaction Capability in the Generative AI Era: The Influence of Critical Thinking by Feiming Li, Xinyu Yan, Hongli Su, Rong Shen, Gang Mao

“…(1) Background: In the era of generative AI (GenAI), assessing AI literacy is essential for understanding how effectively non-expert users can interact with AI. …”
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The Integration of Artificial Intelligence in In Vitro Fertilization: A Comprehensive Narrative Review by Akash More, Vilas Chimurkar, Sanket Mahajan, Sudhanshu Dakre, Namrata Anjankar, Deepali More

“…On the ethical front, AI enhances matters of ownership, data protection, and patient safety through all these processes. …”
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