Primary eye care providers refer glaucoma patients using their clinical experience and context. Specialized Artificial Intelligence (AI) excels in referrals trained on clinical data but relies on assumptions that may not hold in practice….
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Dry eye disease (DED) is exacerbated by prolonged screen use, partly due to reduced blink frequency and a higher percentage of incomplete blinks (IB). In this prospective, randomized study, we assessed whether a smartphone‑based…
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The proliferative hepatocellular carcinoma (HCC) subtype is associated with aggressive disease and poor prognosis, yet it remains challenging to identify non-invasively. This retrospective multicenter study developed a multitask deep learning system for detecting proliferative…
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Missed periodontitis diagnoses are common, and AI dental radiography systems based on clinical standards can enhance reliable detection. We introduce and evaluate HC-Net+, a deep-learning model that mimics clinical pathways while integrating localized tooth…
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While chronological age is a universal risk predictor across most populations and diseases, distinguishing between biologically older from younger individuals may identify individuals with accelerated or delayed cardiovascular aging. This study presents a deep…
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What You Should Know:
– VahatiCor, a medtech company focused on transforming cardiac care secures $23M in Series B funding led by S3 Ventures, with support from Intuitive Ventures and a strategic investor.
– The capital…
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Kidney transplantation offers life-extending treatment for patients with end-stage renal disease, yet long-term risks of graft loss and death persist. Traditional prediction models using only baseline data often fail to capture patients’ evolving health…
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Patients with clear cell renal cell carcinoma (ccRCC) face a high risk of recurrence after surgery, but existing clinical tools based on clinicopathological factors or costly molecular profiling often lack precision and clinical feasibility….
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This study presents an ensemble learning approach for automated screening and severity classification of chronic kidney disease (CKD) using polysomnographic (PSG) phenotypes. We analyzed PSG data from 358 subjects (179 CKD, 179 early-CKD) in…
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The Healthcare AI Investment Paradox
Artificial intelligence in healthcare has reached a critical inflection point that demands immediate attention from industry leaders. Organizations across the healthcare sector are investing unprecedented amounts in artificial intelligence technologies,…
