Bringing “Smart” Machines to Medicine

3234 1

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 More

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…

Read More

Can Personal Devices Improve Your Health?

321 1

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,…

Read More

FIRST LOOK: Leveraging AI and biological networks to functionally interpret vast genetic datasets

With the unprecedented ability to sequence genomes and to genotype millions of patients’ functional interpretation of genetic data is now one of the major bottlenecks in science and healthcare. This is a key constraint on our efforts toward biological understanding and patient-specific therapeutic intervention in human diseases. In parallel, high throughput technologies in transcriptomics and…

Read More

FIRST LOOK: Mass Spectrometry Imaging for Surgical Pathology and Oncology

1333 2

Mass spectrometry provides multiple options for the direct biomolecular characterization of tissue to support clinical decision-making and provides significant insight in the development of drugs targeting tumors of the central nervous system. Using an array of mass spectrometry (MS) applications, we rapidly analyze tumor markers ranging from small metabolites to proteins from surgical tissue for…

Read More

A Picture is Worth a Thousand Words

maa 1

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.…

Read More

FIRST LOOK: Using Residual Convolutional Neural Networks to Improve Treatment of Brain Tumors

133 2

Gliomas are the most common primary brain tumor in adults and the cure remains elusive. Certain pathological biomarkers including the mutation status of isocitrate dehydrogenase (IDH) have significant implications on the benefits of aggressive surgical resection, response to treatment and overall prognosis. Tissue sampling via biopsy or surgical resection has been required to elucidate biomarker…

Read More

AI at the Bedside

1122 2

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…

Read More

FIRST LOOK: Mobile Apps: Bridging the Mental Health Treatment Gap

134 1

Barriers to accessing evidence-based mental health treatment include a lack of available providers, high costs, and stigma. Technology-delivered interventions, such as Smartphone apps, present a promising avenue for reducing barriers. To this end, in partnership with Telefónica Alpha, the Massachusetts General Hospital (MGH) OCD and Related Disorders program is developing and pilot testing a cognitive…

Read More

FIRST LOOK: A Machine Learning Algorithm to Reduce Costs and Increase Quality

233

Diagnostic tests are the lynchpin of medical care. From a health point of view, bad testing can lead to missed or incorrect diagnoses. From a cost point of view, bad testing is a major source of unneeded expenditures—the majority of the care labeled as “low value” by the Choosing Wisely campaign were diagnostic tests. Click…

Read More

FIRST LOOK: A Machine Learning Algorithm to Reduce Costs and Increase Quality

233

Diagnostic tests are the lynchpin of medical care. From a health point of view, bad testing can lead to missed or incorrect diagnoses. From a cost point of view, bad testing is a major source of unneeded expenditures—the majority of the care labeled as “low value” by the Choosing Wisely campaign were diagnostic tests. Click…

Read More

AI in Healthcare: Setting a Common Perspective

The 2018 World Medical Innovation Forum focuses on the advancements and opportunities of AI in healthcare. This document aims to provide participants with a common framing of AI in healthcare. To download a PDF of the white paper, click here. Defining Artificial Intelligence If intelligence is understood to mean traits that enable humans to independently…

Read More