A computer-aided detection (CAD) system for early esophagus carcinoma identification during endoscopy with narrow-band imaging (NBI) was evaluated in a large-scale, prospective, tandem, randomized controlled trial to assess its effectiveness. The study was registered…
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Study Confirms AI Boosts Cancer Detection Rates
Lunit’s groundbreaking research published in Nature Communications has validated the effectiveness of AI-powered mammography screening in real-world settings. This first-of-its-kind large-scale, multicenter prospective study demonstrated that AI assistance…
Insomnia impairs daily functioning and increases health risks. Cognitive behavioral therapy for insomnia (CBT-I) is effective but limited by cost and therapist availability. Fully automated digital CBT-I (FA dCBT-I) provides an accessible alternative without…
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A digital platform designed to help people at risk of falling is moving into the third phase of its trial, with the ambition to eventually be rolled out across Scotland.
The No Need to Fall…
Search engines (SEs) have traditionally been primary tools for information seeking, but the new large language models (LLMs) are emerging as powerful alternatives, particularly for question-answering tasks. This study compares the performance of four…
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Groundbreaking ISS Research Reveals Cellular Adaptations
Researchers from Emory University have made a significant discovery about heart muscle cells in space environments. Their study, published in the journal Biomaterials, demonstrates that spaceflight increases the expression…
Apollo Hospitals, one of India’s biggest hospital chains, has announced a new partnership to further develop its AI tool for predicting cardiovascular disease risks.It will collaborate with 3M spinoff Solventum Health Information Systems to…
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Deep vein thrombosis (DVT) carries high morbidity, mortality, and costs globally. Point of care ultrasound (POCUS) image acquisition by non-ultrasound-trained providers, supported by an AI-based guidance and remote image review system, is believed to…
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Generalist AI systems in healthcare can handle multiple complex clinical tasks, unlike narrow AI tools that perform isolated functions. However, current payment systems struggle to capture the value of these integrated capabilities. We examine…
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Background: Mobile health technologies show promise in addressing metabolic syndrome, but their comparative effectiveness in large-scale public health interventions remains unclear. Objective: To compare the effectiveness of wearable devices (wearable activity tracker) and mobile…
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