Editor’s Note: This is part two of our interview with Craig Kwiatkowski. To read part one, click here.Cedars-Sinai, the prominent California health system, has a variety of artificial intelligence programs either deployed or in…
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Generalization – the ability of AI systems to apply and/or extrapolate their knowledge to new data which might differ from the original training data – is a major challenge for the effective and responsible…
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Language models (LMs) such as BERT and GPT have revolutionized natural language processing (NLP). However, the medical field faces challenges in training LMs due to limited data access and privacy constraints imposed by regulations…
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The healthcare industry is facing a critical shortage of skilled nuclear radiologists, threatening timely cancer treatment and care. With only 53% of training programs at full enrollment, innovative solutions are needed to address the…
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Triomics co-founders: Sarim Khan and Hrituraj Singh
What You Should Know:
– Triomics, a company leveraging generative AI to revolutionize cancer care, today announced securing $15 million in funding led by prominent Silicon Valley firms like…
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Image by JAFAR AHMED on Unsplash
Human surgery training has used the classical approach of dissections of bodies and presence in live surgery for a long time. These means offer truly priceless opportunities to learn…
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Fundus fluorescein angiography (FFA) is a crucial diagnostic tool for chorioretinal diseases, but its interpretation requires significant expertise and time. Prior studies have used Artificial Intelligence (AI)-based systems to assist FFA interpretation, but these…
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Existing natural language processing (NLP) methods to convert free-text clinical notes into structured data often require problem-specific annotations and model training. This study aims to evaluate ChatGPT’s capacity to extract information from free-text medical…
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Coding of physician office visits can be very confusing – and is ever-changing.Every year, regulations and guidelines change, and it is difficult for providers to keep up. Most groups have coding staff with limited…
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While some nurses recognize the potential of artificial intelligence to minimize documentation burden and improve patient monitoring – and see a future with broader AI-enabled nursing – others are concerned about AI replacing empathetic human assessment…
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