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Mashup Score: 10The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database - 4 year(s) ago
At the beginning of the artificial intelligence (AI)/machine learning (ML) era, the expectations are high, and experts foresee that AI/ML shows potential for diagnosing, managing and treating a wide variety of medical conditions. However, the obstacles for implementation of AI/ML in daily clinical practice are numerous, especially regarding the regulation of these technologies. Therefore, we…
Source: npj Digital MedicineCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 0Digitizing clinical trials - 4 year(s) ago
Clinical trials are a fundamental tool used to evaluate the efficacy and safety of new drugs and medical devices and other health system interventions. The traditional clinical trials system acts as a quality funnel for the development and implementation of new drugs, devices and health system interventions. The concept of a “digital clinical trial” involves leveraging digital technology to…
Source: npj Digital MedicineCategories: Hem/Oncs, Latest HeadlinesTweet-
Digitizing clinical trials [Jul 31, 2020] Inan et al. #npjdigitalmed @Nature_NPJ https://t.co/swf4n0B4IO #ClinicalTrials #openaccess HT@fischmdvia @drdonsdizoncc @NIH @NSF #NCORP @theNCI https://t.co/ylRJlePPNO
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Mashup Score: 1Between competence and warmth: the remaining place of the physician in the era of artificial intelligence - 4 year(s) ago
Competence and warmth are two essential dimensions of patient care. During the twentieth century, the industrial revolution in data collection, with the increasing use of machines and the division of labor that led to the development of many subspecialities, increased the overall competence of physicians at the expense of the warmth dimension. The spread of patient-centered care principles aimed…
Source: npj Digital MedicineCategories: Healthcare Professionals, Latest HeadlinesTweet-
very thoughtful piece by @DavidDrummondMD on the intersection of #AI, competence and warmth. @Nature_NPJ https://t.co/uhpunV0Kwy
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Mashup Score: 1Mobile Health: making the leap to research and clinics - 4 year(s) ago
Health applications for mobile and wearable devices continue to experience tremendous growth both in the commercial and research sectors, but their impact on healthcare has yet to be fully realized. This commentary introduces three articles in a special issue that provides guidance on how to successfully address translational barriers to bringing mobile health technologies into clinical research…
Source: npj Digital MedicineCategories: Healthcare Professionals, Latest HeadlinesTweet-
Mobile Health: making the leap to research and clinics https://t.co/U23UnMIMtZ @Nature Digital Medicine #digitalhealth
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Mashup Score: 24An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department - 4 year(s) ago
During the coronavirus disease 2019 (COVID-19) pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decision-making. We propose a data-driven approach for automatic prediction of deterioration risk using a deep neural network that learns from chest X-ray images and a gradient boosting model that learns from routine clinical variables. Our AI prognosis…
Source: npj Digital MedicineCategories: Future of Medicine, Latest HeadlinesTweet-
KEY READ! An artificial intelligence system for predicting the deterioration of #COVID19 patients in the emergency department. https://t.co/RqilUdKBaV #digitalhealth #imaging #AI
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Mashup Score: 2Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state - 4 year(s) ago
Contact tracing is increasingly used to combat COVID-19, and digital implementations are now being deployed, many based on Apple and Google’s Exposure Notification System. These systems utilize non-traditional smartphone-based technology, presenting challenges in understanding possible outcomes. In this work, we create individual-based models of three Washington state counties to explore how…
Source: npj Digital MedicineCategories: Infectious Disease, Latest HeadlinesTweet-
This matched pretty well with the expectations we had based on earlier simulation work. https://t.co/7zE0bC93yB 12/n https://t.co/PeCvwIcnTa
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Mashup Score: 4
Medication nonadherence touches every patient population, driving increased healthcare costs1, and negatively affecting health outcomes2. The issue can be particularly severe amongst patients with mental illness. It is estimated that only 1 in 3 schizophrenia patients is fully adherent to their…
Source: npj Digital MedicineCategories: Healthcare Professionals, Latest HeadlinesTweet-
Tracking step count & heart rate helped researchers predict if a study participant would take their medications the next day - fascinating editorial by @LeiaWedlund + @jkvedar https://t.co/UrgO8vV7RU
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Mashup Score: 1
Activity patterns can be important indicators in patients with serious mental illness. Here, we utilized an accelerometer and electrocardiogram incorporated within a digital medicine system, which also provides objective medication ingestion records, to explore markers of patient activity and investigate whether these markers of behavioral change are related to medication adherence. We developed…
Source: npj Digital MedicineCategories: Healthcare Professionals, Latest HeadlinesTweet-
Excited to see this editorial spearheaded by @LeiaWedlund and the accompanying paper it references in @Nature_NPJ #digital #medicine https://t.co/qU2kAj8du0 https://t.co/AtvXKLBCWg
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Mashup Score: 2
Artificial intelligence (A.I.) is expected to significantly influence the practice of medicine and the delivery of healthcare in the near future. While there are only a handful of practical examples for its medical use with enough evidence, hype and attention around the topic are significant. There are so many papers, conference talks, misleading news headlines and study interpretations that a…
Source: npj Digital MedicineCategories: Healthcare Professionals, Latest HeadlinesTweet-
2/3 Our study at The Medical Futurist Institute was published on @Nature_NPJ and aims to serve as a short, visual and digestible repository of information and details every physician might need to know in the age of A.I. https://t.co/0X6sjwOLVR
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Mashup Score: 2Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong - 4 year(s) ago
Recent studies have reported numerous predictors for adverse outcomes in COVID-19 disease. However, there have been few simple clinical risk scores available for prompt risk stratification. The objective is to develop a simple risk score for predicting severe COVID-19 disease using territory-wide data based on simple clinical and laboratory variables. Consecutive patients admitted to Hong Kong’s…
Source: npj Digital MedicineCategories: General Medicine Journals and Societies, Latest HeadlinesTweet-
A paper published in @Nature_NPJ Digital Medicine presents a simple clinical score to predict severe COVID-19 disease based on age, gender, medical comorbidities, medication records, and laboratory examination results. https://t.co/AKtuC6x62h https://t.co/hEArWMqS2g
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Here are the FDA-approved Artificial Intelligence-based algorithms in medicine and healthcare (UPDATED)! It was designed to give a clear picture about the state of A.I. in medicine and healthcare with an emphasis on FDA regulations. 👉 https://t.co/7GMuHlmtZr https://t.co/RGles1blVE