Disseminating Medical Expertise to Areas that Need it Most

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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…

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Getting 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…

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Reading the Tea Leaves of Cancer Immunotherapy

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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…

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Harnessing the Power of Digital Pathology

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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…

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Bringing “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…

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Bringing “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…

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FIRST LOOK: Leveraging Machine Learning for Personalized Cancer Treatments

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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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FIRST 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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Can Personal Devices Improve Your Health?

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Digital devices permeate our lives. For most of our waking hours, we sport mini-computers strapped to our wrists or tucked into a pocket. We rely on these gadgets for an ever-expanding array of tasks, and without them (or their sufficiently juiced batteries), modern life can come to a screeching halt. It seems almost natural, then,…

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A Picture is Worth a Thousand Words

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In medicine, an image on a computer screen is more than just a picture; it is millions, even billions of data points that can be systematically scrutinized and mined for connections to health and disease. Understanding how these data points vary within and between images — and patients — stretches the limits of human cognition.…

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AI at the Bedside

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As medicine has grown in complexity, the amount of data a single patient can generate — even during a brief hospital stay — has skyrocketed. This big data challenge is reflected in the array of clinical measurements that clinicians can gather at patients’ bedsides, such as blood pressure readings, electrocardiograms (ECGs), and electroencephalograms (EEGs). For…

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