Neural network can determine lung cancer severity
Researchers have created an artificial neural network that analyzes lung CT scans to provide information about lung cancer severity that can guide treatment options.
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AI makes strides in search for COVID-19 treatments
A deep learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
Deep learning-based image segmentation
Scientists have presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.
Breath gas analysis detects cancer
Researchers are developing solutions designed to enable the analysis of breath gas to assist with the diagnosis of disease.
Machine learning comes of age in cystic fibrosis
Researchers have developed AI technology that offers a glimpse of the future of precision medicine, and unprecedented predictive power to clinicians caring for individuals with the life-limiting condition.
Using robotic assistance to make colonoscopy easier
Scientists have made a breakthrough in their work to develop semi-autonomous colonoscopy, using a robot to guide a medical device into the body.
5 ways AI is used against COVID-19
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
Bioprinting tiny, functional organs
Researchers have developed an approach to print tiny tissues that look and function almost like their full-sized counterpart.
'Smart' breathalizer can reveal lung disease
Using specialized nanoparticles, engineers have developed a way to monitor pneumonia or other lung diseases by analyzing the breath exhaled by the patient.
Microneedle patch delivers stem cells into tissue
Researchers have developed a microneedle patch to deliver mesenchymal stem cells (MSCs) into the skin.
Lung cancer: AI could predict risk of recurrence
Computer scientists working with pathologists have trained an AI tool to determine which patients with lung cancer have a higher risk of their disease coming back after treatment.
VR & 3D printing used to prepare for lung-operation
An anaesthesia team used 3D printing and virtual reality to produce an exact model of the airway of a 7-year-old girl in order to prepare properly for an operation to remove part of her lung.
A tiny lung-heart super sensor on a chip
The future of socially distanced lung and heart health monitoring could lie in an inconspicuous yet incredibly sensitive chip.
AI-based chest X-ray diagnosis tech approved
behold.ai has been issued with a CE Mark Class lla certification in the UK and EU for its AI-based technology that can diagnose chest X-rays as ‘normal’.
Sensors could offer early detection of lung tumors
Researchers have developed a new approach to early diagnosis of lung cancer: a urine test that can detect the presence of proteins linked to the disease.
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.”
A 'multitasking' AI tool quickly extracts cancer data
To better leverage cancer data for research, scientists are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports.
Biosensors detect for tumors and dengue fever
Researchers have developed a tumor biosensing chip that can help determine the optimum dosage of chemotherapy required for a cancer patient.
ConvPath software uses AI to identify cancer cells
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
AI predicts effectiveness of immunotherapy
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.
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.
VR models help yield better surgical outcomes
Researchers found that using 3D models to prepare for kidney tumor surgeries resulted in substantial improvements, including shorter operating times.
Machine learning improves diagnostics of head and neck cancers
Researchers used artificial intelligence to develop a new classification method which identifies the primary origins of cancerous tissue based on chemical DNA changes.
Hand-held robot points to less invasive prostate surgery
Collaborators are developing an endoscopic robotic system with two-handed dexterity at a much smaller scale than existing options.
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.
Deep learning system automatically detects diseases
Patients could soon get faster and more accurate diagnoses with new software that can automatically detect signs of diabetes, heart disease and cancer from medical images.
AI classifies lung cancer slides at pathologist level
Researchers have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma.
Beware of medical ‘shadow’ records, ‘black box’ tools
A team of experts led by two University of Michigan researchers calls for attention to this shadow record.
Bladder cancer: robotic surgery and open surgery are equally effective
The first comprehensive study comparing the outcomes of robotic surgery to those of traditional open surgery in any organ has found that the surgeries are equally effective in treating bladder cancer.