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Visceral and Intrahepatic Fat Are Associated with Cardiometabolic Risk Factors Above Other Ectopic Fat Depots: The Framingham Heart Study

We examined the associations among 8 different fat depots accumulated in various anatomic regions and the relationship between these fat depots and multiple cardiometabolic risk factors. Methods Participants were from the Framingham Heart Study Offspring and Third Generation who also participated in the multidetector computed tomography substudy in 2002-2005. Exposures were multidetector computed tomography–derived fat […]

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Patients' educational program. *Patients followed the educational program on their mobile device to improve their knowledge of atrial fibrillation and learn how to manage themselves at home.

Mobile Health Technology for AF Management: Support, Education, and Patient Involvement (video)

  Mobile Health technology for the management of patients with atrial fibrillation is unknown. Methods The simple mobile AF (mAF) App was designed to incorporate clinical decision-support tools (CHA2DS2-VASc [Congestive heart failure, Hypertension, Age ≥75 years, Diabetes Mellitus, Prior Stroke or TIA, Vascular disease, Age 65–74 years, Sex category], HAS-BLED [Hypertension, Abnormal renal/liver function, Stroke, […]

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Teaching Diagnostic Reasoning in the Digital Age: The Role of the Mentor

Each case has its lesson—a lesson that may be, but is not always, learnt, for clinical wisdom is not the equivalent of experience. A man who has seen 500 cases of pneumonia may not have the understanding of the disease which comes with an intelligent study of a score of cases, so different are knowledge […]

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Humanizing the Electronic Medical Record with the Personal Fact

The current model of patient care promotes a system wherein patients are viewed as diseases with treatment plans rather than individuals with a lifetime of experiences. This is further exaggerated by the electronic medical record, wherein streams of impersonal data are presented above the patient narrative. Quantitative data are crucial for medical management, but it […]

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Using the Electronic Medical Record to Identify Patients at High Risk for Frequent Emergency Department Visits and High System Costs

A small proportion of patients account for a high proportion of healthcare use. Accurate preemptive identification may facilitate tailored intervention. We sought to determine whether machine learning techniques using text from a family practice electronic medical record can be used to predict future high emergency department use and total costs by patients who are not […]

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The New Trend in Medicine

During the 4 decades of my clinical training and practice of medicine, I always felt a sense of ownership and full responsibility in caring for my patients. What I have noticed over the past decade is a gradual transformation in our health care delivery system and in the attitude of our trainees. Hospitals are being governed […]

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