Introduction: The Evolution to Patient-Partnered Care
The healthcare landscape is undergoing a fundamental transformation from patient-centric to patient-partnered approaches. This evolution represents more than just a semantic shift—it signifies a revolutionary change in how healthcare…
Oral potentially malignant disorder poses a significant risk of malignant transformation, particularly in cases with epithelial dysplasia (OED). Current OED assessment methods are invasive and lack reliable decision-support tools for cancer risk evaluation and…
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Accurate prediction of financial metrics in spine surgery is crucial as healthcare transitions to value-based care. While bundled payment models have succeeded in other orthopedic procedures, the heterogeneity of spinal surgery complicates their adoption….
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What You Should Know:
– Mount Sinai researchers have demonstrated the effectiveness of teaching surgical trainees a difficult procedure using artificial intelligence (AI) algorithms and an extended-reality headset without the presence of an instructor. All…
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The current standard-of-care (SOC) practice for defining the clinical target volume (CTV) for radiation therapy (RT) in patients with glioblastoma still employs an isotropic 1–2 cm expansion of the T2-hyperintensity lesion, without considering the heterogeneous…
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We developed a rapid scanning optical microscope, termed “BlurryScope”, that leverages continuous image acquisition and deep learning to provide a cost-effective and compact solution for automated inspection and analysis of tissue sections. This device…
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Blepharospasm is a focal dystonia characterized by involuntary eyelid contractions that impair vision and social function. The subtle clinical signs of blepharospasm make early and accurate diagnosis difficult, delaying timely intervention. In this study,…
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I recently had the opportunity to spend some time with a computer engineering student who was looking to learn about healthcare information technology. Specifically, he was curious about the role that clinicians play in…
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This study harnesses machine learning to dissect the complex socioeconomic determinants of depression risk among older adults across five international cohorts (HRS, ELSA, SHARE, CHARLS, MHAS). Evaluating six predictive algorithms, XGBoost demonstrated superior performance…
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For patients with locally advanced cervical cancer (LACC), precise survival prediction models could guide personalized treatment. We developed and validated CerviPro, a deep learning-based multimodal prognostic model, to predict disease-free survival (DFS) in 1018…
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