NVIDIA Healthcare 2.0 – Developing and deploying AI in healthcare
“AI is the biggest technological breakthrough of our lifetime. It will boost the entire healthcare ecosystem and will eventually re-invent the way we deliver medicine entirely.”
deep learning
Deep learning system used for diagnosing skin diseases
An AI algorithm is capable of diagnosing 134 skin disorders and supporting specialists by augmenting the accuracy of diagnoses and predicting treatment options.
AI outperform doctors: Experts express concerns
Many studies claiming that AI is as good as (or better than) human experts at interpreting medical images are of poor quality and are arguably exaggerated, warn researchers in The BMJ.
AI in healthcare – hype, hope and reality
Currently, we are too focused on the topic of AI. In order, however, to leverage AI technology several challenges have to be mastered and a proper framework has to be established.
Smart algorithm analyses whole brain vasculature
Scientists have developed a technique for visualising the structures of all the brain's blood vessels including any pathological changes.
AI may spot newborns at risk of blinding disease
An AI device may help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP).
Deep learning yields new antibiotic
An AI model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
Colon cancer: AI-based marker can improve quality of treatment
Usind deep learning and digital scanning of conventional hematoxylin and eosin-stained tumor tissue sections, researchers have developed a clinically useful prognostic marker.
Deep learning model accurately identifies sleep stages
A deep learning model can identify sleep stages as accurately as an experienced physician.
Deep learning, 3D tech create better drugs
Researchers have designed a novel approach to use deep learning to better understand how proteins interact in the body.
AI identifies features associated with cancer recurrence
An AI has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors.
Neural network for elderly care could save millions
A deep neural network model helps predict healthcare visits by elderly people, with the potential to save millions.
Deep learning boosts MRI detection of ADHD
Deep learning can boost the power of MRI in predicting attention deficit hyperactivity disorder (ADHD).
AI detects even the smallest metastases
Researchers have developed a new algorithm that enables automated detection of metastases at the level of single disseminated cancer cells in whole mice.
Deep learning identifies molecular patterns of cancer
An AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
Deep learning assists in detecting malignant lung cancers
Radiologists assisted by deep learning based software were better able to detect malignant lung cancers on chest X-rays.
AI-driven blood cell classification supports leukemia diagnosis
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
Microscopy: AI converts 2D images into 3D
Researchers have devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting.
AI rivals radiologists at detecting brain hemorrhages
An algorithm did better than experts radiologists at finding tiny brain hemorrhages in head scans — an advance that one day may help doctors treat patients with strokes.
Mental health game changer
Using a simple computer game and AI techniques, researchers were able to identify behavioural patterns in subjects with depression and bipolar disorder.
AI to sharpen focus of eye testing
Researchers have applied deep learning techniques to develop a more accurate method for analysing images of the back of the eye.
Wearable brain-machine interface could control a wheelchair
Combining new wearable electronics and a deep learning algorithm could help disabled people wirelessly interact with a computer.
AI identified decision-relevant patterns in EEG of coma patients
A research team has succeeded in identifying specific patterns in Electro-Encephalogram (EEG) analyses that the deep learning network uses for making prognosis decisions.
Deep learning model detects diabetic eye diseases
Researchers have developed a deep learning system that may help detecting diabetic eye diseases, which could make doctors’ work easier and reduce healthcare cost.
Cancer: AI identifyies patients for immunotherapy
Stomach and colorectal cancer: Identifying patients at an early stage who are suitable for artificial intelligence immunotherapy.
AI detects a new class of mutations behind autism
Using artificial intelligence, researchers have decoded the functional impact of genome mutations in people with autism spectrum disorder.
How AI is already helping physicians save lives
With RAPID AI, the physicians now can get find parts of the brain that are not currently getting enough blood flow within minutes.
AI optimizes embryo selection for IVF
An AI approach can identify with high accuracy whether a 5-day-old, in vitro fertilized human embryo has a high potential to progress to a successful pregnancy.
AI singles out neurons faster than a human can
The deep learning algorithm maps active neurons as accurately as humans in a fraction of the time.