Zobrazeno 1 - 10
of 33
pro vyhledávání: '"James A. Diao"'
Autor:
Yixuan He, David C. Qian, James A. Diao, Michael H. Cho, Edwin K. Silverman, Alexander Gusev, Arjun K. Manrai, Alicia R. Martin, Chirag J. Patel
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract Smoking is the leading risk factor for chronic obstructive pulmonary disease (COPD) worldwide, yet many people who never smoke develop COPD. We perform a longitudinal analysis of COPD in the UK Biobank to derive and validate the Socioeconomi
Externí odkaz:
https://doaj.org/article/97210e4a87a7449baf7efe784bb53fc7
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-3 (2022)
Abstract With the increasing number of FDA-approved artificial intelligence (AI) systems, the financing of these technologies has become a primary gatekeeper to mass clinical adoption. Reimbursement models adapted for current payment schemes, includi
Externí odkaz:
https://doaj.org/article/df641365b2e54d75a69589f1818a87df
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-2 (2022)
Abstract Innovations in robotics, virtual and augmented reality, and artificial intelligence are being rapidly adopted as tools of “digital surgery”. Despite its quickly emerging role, digital surgery is not well understood. A recent study define
Externí odkaz:
https://doaj.org/article/b46f884ac32f4a31a9f01f8bb0f0f8eb
Autor:
James A. Diao, Jason K. Wang, Wan Fung Chui, Victoria Mountain, Sai Chowdary Gullapally, Ramprakash Srinivasan, Richard N. Mitchell, Benjamin Glass, Sara Hoffman, Sudha K. Rao, Chirag Maheshwari, Abhik Lahiri, Aaditya Prakash, Ryan McLoughlin, Jennifer K. Kerner, Murray B. Resnick, Michael C. Montalto, Aditya Khosla, Ilan N. Wapinski, Andrew H. Beck, Hunter L. Elliott, Amaro Taylor-Weiner
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Computational methods have made progress in improving classification accuracy and throughput of pathology workflows, but lack of interpretability remains a barrier to clinical integration. Here, the authors present an approach for predicting clinical
Externí odkaz:
https://doaj.org/article/05d507904fe140cd941a3a33245b3716
Autor:
James A. Diao, Joseph C. Kvedar
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-2 (2022)
Artificial intelligence (AI) tools for endoscopy are now entering clinical practice after demonstrating substantial improvements to polyp detection on colonoscopy. As this technology continues to mature, efforts to develop and validate a new frontier
Externí odkaz:
https://doaj.org/article/c4cf147afbf94ea6a153828abf056301
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-2 (2022)
Abstract Parkinson’s disease (PD) lacks sensitive, objective, and reliable measures for disease progression and response. This presents a challenge for clinical trials given the multifaceted and fluctuating nature of PD symptoms. Innovations in dig
Externí odkaz:
https://doaj.org/article/c50f3c26a9364e0abaaef8ded7c55003
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-2 (2022)
Due to its enormous capacity for benefit, harm, and cost, health care is among the most tightly regulated industries in the world. But with the rise of smartphones, an explosion of direct-to-consumer mobile health applications has challenged the role
Externí odkaz:
https://doaj.org/article/ee882df7955c457fbe5ce9bb23364d26
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-2 (2022)
As clinicians and scientists gather more data on the clinical trajectory of COVID-19 and the biology of its causative agent, the SARS-CoV-2 virus, novel strategies are needed to integrate these data to inform new therapies. A recent study by Howell e
Externí odkaz:
https://doaj.org/article/41853d1b688f43a8953e9d4dcb1290f9
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-2 (2022)
The vital signs—temperature, heart rate, respiratory rate, and blood pressure—are indispensable in clinical decision-making. These metrics are widely used to identify physiologic decline and prompt investigation or intervention. Vital sign monito
Externí odkaz:
https://doaj.org/article/21d9d900fbde49909b5fb3a5972a5a58
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-2 (2021)
In recent years, a steady swell of biological image data has driven rapid progress in healthcare applications of computer vision and machine learning. To make sense of this data, scientists often rely on detailed annotations from domain experts for t
Externí odkaz:
https://doaj.org/article/374430222596471db5c0a37994b36576