Breaking News
February 22, 2019 - Researchers create new map of the brain’s own immune system
February 22, 2019 - ICHE’s reviews on surgical infections, unnecessary urine tests, and nurses’ role in antibiotic stewardship
February 22, 2019 - UK Research and Innovation invests £200 million to create new generation of AI leaders
February 22, 2019 - Takeda collaboration to boost fight against Alzheimer’s and other neurodegenerative diseases
February 22, 2019 - Heavy drinking may change DNA, leading to increased craving for alcohol
February 22, 2019 - U.S. opioid deaths jump fourfold in 20 years; epidemic shifts to Eastern states | News Center
February 22, 2019 - 5 Questions with William Turner on Diversity in Medicine
February 22, 2019 - HHS Finalizes Rule Seeking To Expel Planned Parenthood From Family Planning Program
February 22, 2019 - Researchers uncover biochemical pathway that may help identify drugs to treat Alzheimer’s
February 22, 2019 - Biologist uses new grant to find ways to eliminate schistosomiasis
February 22, 2019 - Bag-mask ventilation to help patients breathe during intubation prevents complications
February 22, 2019 - AbbVie Announces New Drug Application Accepted for Priority Review by FDA for Upadacitinib for Treatment of Moderate to Severe Rheumatoid Arthritis
February 22, 2019 - Nature versus nurture and addiction
February 22, 2019 - New website connects researchers with data experts, resources | News Center
February 22, 2019 - Today’s Concerns About Drug Prices Echo The Past
February 22, 2019 - CT and Doppler equipment have low accuracy in detecting cerebral vasospasm and ischemia
February 22, 2019 - Study finds out similarity in function between healthy retina cell and tumor cell
February 22, 2019 - CWRU awarded NIH grant to identify effective treatments for intimate partner violence
February 22, 2019 - Oncotype DX Not Cost-Effective for Low-Risk Breast Cancer
February 22, 2019 - Scientists discover new type of immune cells that are essential for forming heart valves
February 22, 2019 - Talk About Déjà Vu: Senators Set To Re-Enact Drug Price Hearing Of 60 Years Ago
February 22, 2019 - Genetic defect linked to pediatric liver disease identified
February 22, 2019 - New cellular atlas could provide a deeper insight into blinding diseases
February 22, 2019 - Growing number of cancer survivors, fewer providers point to challenge in meeting care needs
February 22, 2019 - Innovative compound offers a new therapeutic approach to treat multiple sclerosis
February 22, 2019 - $1.5 million grant to develop opioid treatment program for jail detainees
February 22, 2019 - FDA’s new proposed rule would update regulatory requirements for sunscreen products in the U.S
February 22, 2019 - Most Hip, Knee Replacements Last Decades, Study Finds
February 22, 2019 - Wellness problems prevalent among ob-gyn residents
February 22, 2019 - In the Spotlight: “The world is your oyster in geriatrics”
February 22, 2019 - Successful testing of multi-organ “human-on-a-chip” could replace animals as test subjects
February 22, 2019 - Analysis of cervical precancer shows decline in two strains of HPV
February 22, 2019 - Sugary stent eases suturing of blood vessels
February 22, 2019 - From surgery to psychiatry: A medical student reevaluates his motivations
February 22, 2019 - Is New App From Feds Your Answer To Navigating Medicare Coverage? Yes And No
February 22, 2019 - New pacemakers powered by heartbeats could reduce need for surgery
February 22, 2019 - The United States records highest drug overdose death rates
February 22, 2019 - Phase 1 data reinforce safety profile of new drug for treating Duchenne muscular dystrophy
February 22, 2019 - Vitamin D supplementation less effective in the presence of obesity, shows study
February 22, 2019 - Novostia raises CHF 6.5 million to advance its aortic, mitral heart valve to clinical trials
February 22, 2019 - CPRIT awards nearly $20 million to The University of Texas MD Anderson Cancer Center
February 22, 2019 - Sarepta Announces FDA Acceptance of Golodirsen (SRP-4053) New Drug Application for Patients with Duchenne Muscular Dystrophy Amenable to Skipping Exon 53
February 22, 2019 - An institutional effort to reduce the amount of opioids prescribed following lumbar surgery
February 22, 2019 - Family-history-based models perform better than non-family-history based models
February 22, 2019 - Failure to take statins leads to higher mortality rates | News Center
February 22, 2019 - New study explains why some patients report phantom sensations after limb amputation
February 22, 2019 - First motor-controlled heart valves implanted by Mainz University Medical Center
February 22, 2019 - Novel preclinical model mimics persistent interneuron loss seen in preterm infants
February 22, 2019 - Global health burden of glaucoma has increased, study reveals
February 22, 2019 - A holistic approach key to minimize treatment complexity in patients with interstitial lung disease
February 22, 2019 - 1 in 10 middle-aged Chinese adults are at high risk for heart disease, finds study
February 22, 2019 - More than half a million breast cancer patient’s lives saved by improvements in treatment
February 22, 2019 - Study finds no evidence that tougher policies prevent teenage cannabis use
February 22, 2019 - New blood test detects genetic disorders in fetuses
February 22, 2019 - Lower Self-Perception Observed in Children With Amblyopia
February 22, 2019 - Up to 15 percent of children have sleep apnea, yet 90 percent go undiagnosed
February 22, 2019 - Rare pulmonary defect prompts parents’ nationwide search for answers | News Center
February 22, 2019 - Lesbian and bisexual women at greater risk of being overweight, study finds
February 22, 2019 - UQ research may explain why vitamin D is essential for brain health
February 22, 2019 - Heart Attacks Rising Among Younger Women
February 22, 2019 - How your smartphone is affecting your relationship
February 22, 2019 - Orthopaedic surgeon receives prestigious award, $10 million grant | News Center
February 22, 2019 - New sepsis test could save thousands of lives
February 22, 2019 - Cervical cancer could be eradicated by 2100
February 21, 2019 - Sustained smoking cessation can lower risk of seropositive RA
February 21, 2019 - Thousands with chronic UTIs are not receiving the treatment they need
February 21, 2019 - Are teens getting high on social media? The surprising study seeking the pot-Instagram link
February 21, 2019 - Stanford expands biobank services | News Center
February 21, 2019 - Scientists identify link between drinking contexts and early onset intoxication among adolescents
February 21, 2019 - Strong social support may reduce cardiovascular disease risk in postmenopausal women
February 21, 2019 - Rapid expansion of interventions could prevent up to 13 million cases of cervical cancer within 50 years
February 21, 2019 - Motif Bio Receives Complete Response Letter From The FDA
February 21, 2019 - Researchers map previously unknown disease in children
February 21, 2019 - A skeptical look at popular diets: Going gluten-free
February 21, 2019 - Podcast: KHN’s ‘What The Health?’ How Safe Are Your Supplements?
February 21, 2019 - Factors associated with increased risk of developing surgical site infections
February 21, 2019 - Anticipatory signals in eye movements can help measure attentive capacity, learning with greater precision
February 21, 2019 - Study explores daily exposure to indoor air pollutants
February 21, 2019 - Evening exercise does not negatively affect sleep, may also reduce hunger
February 21, 2019 - Artificial intelligence technique can be used to identify alcohol misuse in trauma setting
How AI could help veterinarians code their notes | News Center

How AI could help veterinarians code their notes | News Center

image_pdfDownload PDFimage_print

As artificial intelligence continues to make inroads into human medicine, James Zou, PhD, assistant professor of biomedical data science at the School of Medicine, has found another use for it: animal medicine.

When pets visit an animal hospital, veterinarians type out notes in paragraph form to document the visit. There’s no systematic or widespread infrastructure in place for pet electronic health records. And while hand-captured notes work fine to document one visit, in one clinic, it limits how the data can be used and shared.

“Unlike human electronic health records, there aren’t standardized ways to map free text typed on a computer into codes that denote a specific type of disease,” Zou said. “So there are millions of vet clinical records that are essentially wasted because they’re so cumbersome to work with. Clinics don’t have the infrastructure to extract information from these medical records, but there’s a lot of really interesting information in them, and they might even come to bear on human health.”

Now, Zou and his team have devised a solution, DeepTag, rooted in artificial intelligence. DeepTag is an algorithm that essentially reads the typed-out notes from a vet and predicts specific diseases that the animal may have. It boils down the paragraph of medical notes into codes that represent certain ailments, symptoms or diseases.

paper describing DeepTag was published Oct. 24 in npg Digital Medicine. Allen Nie, a machine learning researcher, and research scientist Ashley Zehnder, DVM, PhD, share lead authorship.

Scanning for key words

There’s been a tremendous amount of progress in the ability of AI to understand and apply natural language, Zou said. “AI is now much better at understanding human languages and being able to respond to them, and we’re leveraging that progress to build algorithms that can scan across the paragraph to actually read the clinical notes and interpret each word,” he said. “We’re not explicitly telling the algorithm what words are associated with what disease. Instead, it’s finding the key words that are associated with specific diagnoses.”

In training the algorithm, Zou collaborated with the College of Veterinary Medicine at Colorado State University, where a group of veterinary experts annotated more than 100,000 clinical notes, assigning disease codes to each case. Nie used that data set to “teach” the algorithm the types of notes that paired with a particular disease. Then, the group further validated the algorithm’s accuracy by testing it on pet clinical data collected from private veterinarian offices.

Broadly speaking, DeepTag would allow veterinarians to track the prevalence of disease in pets, and in the future could be a tool to track clinical trials for animals. 

A win-win

Before a drug makes it to clinical trial in humans, it’s typically tested in mice or rats for efficacy and safety. But the biology of small rodents can be quite different from that of a person. A dog, larger in size and in some ways more reflective of human biology, could more accurately indicate how a human might respond to a treatment, once the hypothetical treatment passed the “rodent” stage.

“Dogs, which were the majority of patients that we documented using DeepTag, are very good candidates for many of the drugs scientists develop for humans,” he said. “And there’s a growing interest in pharmacology and biotechnology to try to test, for example, new cancer treatments in dogs — it could be a win for both humans and their pets.”

Likewise, just as is the case for sick people, there’s sometimes a lack of sanctioned options to treat disease in pets, and clinical trials would be their best bet at recovery. But until now, there’s been little infrastructure to keep tabs on how animals fair on new therapies. 

Since the paper published, Zou has been discussing applying the DeepTag algorithm to large veterinary clinics around the country, and locally in the San Francisco Bay Area. Soon, Zou said, his team will have a publicly available platform that veterinarians anywhere in the world can use. “Once the platform is online, any veterinarian could go and use the platform to annotate their notes and see the results in real time,” he said.

Other Stanford authors include postdoctoral research scholar Arturo Pineda, PhD; assistant professor of biomedical science, Manuel Rivas, DPhil; and professor of biomedical data science and of genetics Carlos Bustamante, PhD.

Researchers from Colorado State University and Tsinghua University in Beijing, China, also contributed to this work.

The research was supported by the Chan Zuckerberg Initiative, the National Science Foundation and the National Institutes of Health.

 Stanford’s Department of Biomedical Data Science also supported the work.

Tagged with:

About author

Related Articles