Grade 2 subclinical hypothyroidism (G2SCH) is associated with an increased risk of various diseases but is rarely detected before symptom onset. This study aims to develop a machine learning-based prediction model for G2SCH using…
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Akram Hossain, MBA, A-CSPO®, CBAP
Artificial intelligence in healthcare is moving into a new phase. What was once dominated by research pilots and one-off experiments is now becoming a matter of ownership. Hospitals, medical device…
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Risks and Challenges of Using AI in Pediatrics
Large language models are prone to “sycophancy,” or the desire to satisfy the user prompting it, as well as hallucinations, which involve fabricated findings, Desai explains.
He notes…
Although providers and payers feel like they’re engaged in an epic, ongoing battle over claims, Abhinay Vyas, Co-Founder and Chief Data Officer at RapidClaims, believes that approvals can increase when both realize that they…
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Although providers and payers feel like they're engaged in an epic, ongoing battle over claims, Abhinay Vyas, Co-Founder and Chief Data Officer at RapidClaims, believes that approvals can increase when both realize that they…
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Image Credit: SimonMed
What You Should Know:
– SimonMed Imaging, one of the largest outpatient medical imaging providers and radiology practices in the United States, today announced the launch of Ultrasound+, an AI-enabled ultrasound program.
– The…
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Skin tone assessments are critical for fairness evaluation in healthcare algorithms (e.g., pulse oximetry) but lack validation. Using prospectively collected facial images from 90 hospitalized adults at the San Francisco VA, three independent annotators…
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While artificial intelligence promises to revolutionize patient care, a fundamental trust deficit between clinicians and technology threatens to undermine its potential. The solution may not lie in more sophisticated algorithms or faster processors, but…
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Andrew Flanagan, CEO at Iris Telehealth
Healthcare organizations are installing artificial intelligence tools across their operations — diagnostic algorithms, predictive models, patient monitoring systems — while avoiding a fundamental question: Who gets sued when these…
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Globally, drug discovery and development programs are complex, multi-decade long and prohibitively expensive. Artificial intelligence (AI) and other digital health technologies have the potential to enhance and accelerate each stage of drug discovery and…
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