Posts Tagged ‘artificial intelligence’
Disseminating Medical Expertise to Areas that Need it Most
Replacing physicians has been cited as an aim of artificial-intelligence-based approaches to health care. Yet beyond the hype and hyperbole, there is a much more likely — and worthy — application of AI to medicine: infusing clinical expertise into regions where doctors are in short supply. A key case in point: the global shortage of…
Read MoreGetting Back to Face Time: AI Tools that Help Reduce Physicians’ Computer Use
Just as computers have propelled major advances in modern medicine, their presence has also become a significant burden. That’s because the amount of time physicians now spend on the computer — reviewing clinical data and completing required documentation in electronic health records (EHRs) — has soared. It is estimated that physicians spend roughly half of…
Read MoreMinimizing the Threats of Antimicrobial Resistance and Infections Associated with Antibiotic Use
The introduction of effective antibiotics in the 1940s ushered in an era of optimism with rapid declines in deaths due to infections. Since that time, however, antibiotic resistance has emerged rapidly, and too few antibiotics are making it through the development pipeline. That means once curable infections could soon become more virulent and even untreatable.…
Read MoreReading the Tea Leaves of Cancer Immunotherapy
The immune system protects the body from a host of foreign invaders. Over the last few years, therapies that leverage these defenses to fight cancer — so-called cancer immunotherapies — have yielded impressive outcomes in combating some forms of the disease. Yet as promising as these therapies are, they currently help only a small subset…
Read MoreFIRST LOOK: Surgical Fingerprints: Real-time Analysis of Intraoperative Events
Intraoperative adverse events (IAEs), such as bowel/vascular injury, are estimated to occur in 2% of operations. IAEs can exact a toll on patient quality of life and costs, with average admission charges estimated to be 41% higher for patients who experience IAEs. Up to two-thirds of surgical errors occur intraoperatively, and 86% of these are…
Read MoreFIRST LOOK: Identification of Healthcare Risks in COPD Patients Using CT and X-ray Images
Chronic obstructive pulmonary disease (COPD) is one of the most common respiratory conditions that affects more than 22 million Americans; it has climbed to be the third leading cause of death and accounts for $32 billion in associated healthcare cost. https://www.youtube.com/watch?v=lLkXqGk8bIM COPD remains underdiagnosed, and its associated comorbidities include cardiovascular disease, musculoskeletal disorders, and lung…
Read MoreHarnessing the Power of Digital Pathology
Through its decades-long practice of digitizing clinical images, radiology is providing an early proving ground for machine learning-based approaches for disease detection, diagnosis, and prognosis. With a vast, rich pool of radiological images, researchers have access to the raw material needed to develop and hone new disease-detection algorithms, which are helping to drive the AI…
Read MoreBringing “Smart” Machines to Medicine
Self-driving cars are poised to disrupt the transportation industry, and there is a similar revolution underway in health care. This effort seeks to engineer a new generation of “smart” medical equipment that melds scanning with interpretation, monitoring with treatment, and merges data from disparate devices into a common, readily interpretable stream. The goal: to help…
Read MoreBringing “Smart” Machines to Medicine
Self-driving cars are poised to disrupt the transportation industry, and there is a similar revolution underway in health care. This effort seeks to engineer a new generation of “smart” medical equipment that melds scanning with interpretation, monitoring with treatment, and merges data from disparate devices into a common, readily interpretable stream. The goal: to help…
Read MoreFIRST LOOK: bloodTyper: Blood Group Typing using Next Generation Sequencing
Blood transfusion is one of the most common therapies administered in US hospitals, but sensitization to red blood cell (RBC) and platelet (PLT) antigens can lead to serious complications in prenatal medicine and transfusion. Although there are over 300 known RBC and 33 PLT antigens, current testing only includes matching the patient and donor for…
Read MoreFIRST LOOK: bloodTyper: Blood Group Typing using Next Generation Sequencing
Blood transfusion is one of the most common therapies administered in US hospitals, but sensitization to red blood cell (RBC) and platelet (PLT) antigens can lead to serious complications in prenatal medicine and transfusion. Although there are over 300 known RBC and 33 PLT antigens, current testing only includes matching the patient and donor for…
Read MoreFIRST LOOK: Leveraging Machine Learning for Personalized Cancer Treatments
It is not obvious how decades of hard won biological knowledge can be incorporated into building machine learning algorithms for predicting how a drug will affect a patient. We study this problem from theoretical, computational, and practical angles. Click here to watch Dr. Craft’s First Look presentation. Our computational studies provide strong evidence that incorporating…
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