Healthcare

Research and innovation addressing today's greatest health challenges

Biophysics-Inspired AI Uses Photons to Help Surgeons Identify Cancer

Biophysics-inspired AI tools would provide a richer amount of information to support intraoperative decisions of surgeons during removal of cancerous tissue.

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Understanding Parkinson’s Disease with Machine Learning and The Michael J. Fox Foundation

IBM’s collaboration with The Michael J. Fox Foundation aims to better understand Parkinson's disease (PD), a chronic, degenerative neurological disorder.

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Fingernail Sensors and AI Can Help Clinicians to Monitor Health and Disease Progression

Grip strength is a useful metric in a surprisingly broad set of health issues. It has been associated with the effectiveness of medication in individuals with Parkinson’s disease, the degree of cognitive function in schizophrenics, the state of an individual’s cardiovascular health, and all-cause mortality in geriatrics. At IBM Research, one of our ongoing challenges […]

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Could AI Help People Change Their Behaviour?

An open-source AI algorithm to help people change their behaviour, based on an ontology developed by behavioural scientists at University College London.

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Evolving Speech and AI as the Window into Mental Health

Mental health and neurological disorders are a growing epidemic. In the U.S., nearly one in every five people has a mental health condition (1). Yet there is a growing shortage of mental health professionals to adequately treat this need. By 2025, it’s estimated that demand for psychiatrists may outstrip supply by up to 15,600 psychiatrists […]

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AI and the Eye: Deep Learning for Glaucoma Detection

Glaucoma is the second leading cause of blindness in the world, impacting approximately 2.7 million people in the U.S alone [1]. It is a complex set of diseases and, if left untreated, can lead to blindness. It’s a particularly large issue in Australia, where only 50% of all people who have it are actually diagnosed […]

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Towards Language Inference in Medicine

Recent times have witnessed significant progress in natural language understanding by AI, such as machine translation and question answering. A vital reason behind these developments is the creation of datasets, which use machine learning models to learn and perform a specific task. Construction of such datasets in the open domain often consists of text originating […]

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Painting a Clearer Picture of the Heart with Machine Learning

Coronary Artery Disease (CAD) is a condition in which plaque forms on the walls of coronary arteries, causing them to narrow. Eventually, this could lead to a heart attack, or death. This condition is now the single largest health problem in the world, with over one million people in the US undergoing cardiac catheterization – […]

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Helping to Improve Medical Image Analysis with Deep Learning

Medical imaging creates tremendous amounts of data: many emergency room radiologists must examine as many as 200 cases each day, and some medical studies contain up to 3,000 images. Each patient’s image collection can contain 250GB of data, ultimately creating collections across organizations that are petabytes in size. Within IBM Research, we see potential in […]

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Addressing South Africa’s Cancer Reporting Delay with Machine Learning

Could you make a critical health policy decision using four-year-old data? Cancer registries hold vital data sets, kept tightly encrypted, containing demographic information, medical history, diagnostics and therapy. Oncologists and health officials access the data to understand the diagnosed cancer cases and incidence rates nationally. The ultimate goal is to use this data to inform […]

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Exploring New Research to Combat Disease-Causing Viruses

According to the US Center for Disease Control, the number of worldwide cases of poliomyelitis has decreased from 350,000 in 1988 to 407 in 20131. While the decline has been steady, polio has still not been eradicated. To try and help solve the problem, biologists and mathematicians from IBM, UCSF, Stanford University, and the University […]

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Ink Spots to Put an End to Counterfeit Diagnostic Tests

Could tiny ink spots, the size of a pinhead, fight counterfeiting medical tests? We believe the answer is yes. This week at the Biosensors 2018 conference in Miami, I’m presenting a new research paper demonstrating how optical security codes, created by inkjet spotting patterns, can be used in combination with smartphones for authenticating medical tests. […]

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