The digital evolution of healthcare has proven beneficial while tackling health crises like Covid-19 pandemic, increasing the demand for tech health.
This new toll can detect abnormalities in focal cortical dysplasia (FCDs), which are a leading cause of drug-resistant epilepsy.
Compared to other commonly available radiation machines, Radixact X9 Tomotherapy does not shoot the tumor at one go, but in a slice-by-slice manner.
Although memory loss is often one of the early signs of dementia, losing memory doesn't always mean you have dementia.
Researchers have identified four areas in the field of regenerative medicine where artificial intelligence (AI) would be of significant help. But the possibilities are endless.
The study revealed that the successful completion of this project carries significant potential for saving lives and improving patient healthcare provision.
Researchers have developed an AI algorithm that can successfully detect, segment, quantify and differentiate different types of brain injuries. Also, know the risk factors for brain injuries to prevent them for occurring.
Emerging technologies like artificial Intelligence (AI) and drones are playing a huge role in the fight against the deadly coronavirus. Read to know how these technologies are being implemented to contain the spread of this deadly virus.
According to the statement, the electrophysiological data collected during polysomnography -- the most comprehensive type of sleep study -- is well-positioned for enhanced analysis through AI and machine-assisted learning.
Technology has not only made our lives easier, but it's also saving lives by advancing the healthcare systems.
The researchers hope that the new AI tool will help them better understand how people with mental illnesses are doing and transform mental health care.
Artificial intelligence and robotics are gradually transforming the healthcare, simplifying the lives of patients, doctors and hospital administrators.
The new technique works with an 82 per cent reliability, and could replace the need for invasive finger-prick testing with a needle, especially for kids.
Researchers have revealed that Artificial Intelligence (AI) can help detect acute myeloid leukaemia (AML) - one of the most common forms of blood cancer - with high reliability.
Emotional intelligence is important if you want to achieve success and lead a happy, fulfilling life. Read on to know how to instil emotional intelligence in your child.
According to a study published in the journal -- Cancer Immunology Research, using artificial Intelligence can predict if a lung-cancer patient would be benefitted from expensive immunotherapy or not. Read on to know more.
On the occasion of National Nutrition Week, we tell you about some of the essential nutrients that can boost your brain function.
Researchers at the Institute of Cancer Research are applying the AI algorithm to many types of cancer to find out information for each about their sensitivity to treatment, likely paths of evolution and how to combat drug resistance.
A new study published in the journal 'Proceedings of the National Academy of Sciences' has unveiled a machine-learning algorithm that can spot abnormalities in pupil dilation that are predictive of autism spectrum disorder.
According to a study published in the journal JAMA Network Open, CXR-risk provides information that predicts long-term mortality, independent of radiologists' readings of the x-rays and other factors.
Scientists have recently developed a methodology that combines several Machine Learning (ML) algorithms to recognize depression more accurately using acoustic cues.
According to a study published in the journal Computer Methods in Applied Mechanics and Engineering, it is possible to train a machine to interpret real-world images using synthetic data and streamline the steps to diagnosis.
A new study published in the journal Nature Genetics, has discovered new genetic problems that contribute to autism in people.
According to a study presented at The International Conference on Nuclear Cardiology and Cardiac CT (ICNC) 2019, machine learning algorithms can potentially predict heart attack or death with 90 per cent accuracy.
According to the statement, the electrophysiological data collected during polysomnography -- the most comprehensive type of sleep study -- is well-positioned for enhanced analysis through AI and machine-assisted learning.
Technology has not only made our lives easier, but it's also saving lives by advancing the healthcare systems.
The researchers hope that the new AI tool will help them better understand how people with mental illnesses are doing and transform mental health care.
Artificial intelligence and robotics are gradually transforming the healthcare, simplifying the lives of patients, doctors and hospital administrators.
The new technique works with an 82 per cent reliability, and could replace the need for invasive finger-prick testing with a needle, especially for kids.
Researchers have revealed that Artificial Intelligence (AI) can help detect acute myeloid leukaemia (AML) - one of the most common forms of blood cancer - with high reliability.
Emotional intelligence is important if you want to achieve success and lead a happy, fulfilling life. Read on to know how to instil emotional intelligence in your child.
According to a study published in the journal -- Cancer Immunology Research, using artificial Intelligence can predict if a lung-cancer patient would be benefitted from expensive immunotherapy or not. Read on to know more.
On the occasion of National Nutrition Week, we tell you about some of the essential nutrients that can boost your brain function.
Researchers at the Institute of Cancer Research are applying the AI algorithm to many types of cancer to find out information for each about their sensitivity to treatment, likely paths of evolution and how to combat drug resistance.
A new study published in the journal 'Proceedings of the National Academy of Sciences' has unveiled a machine-learning algorithm that can spot abnormalities in pupil dilation that are predictive of autism spectrum disorder.
According to a study published in the journal JAMA Network Open, CXR-risk provides information that predicts long-term mortality, independent of radiologists' readings of the x-rays and other factors.
Scientists have recently developed a methodology that combines several Machine Learning (ML) algorithms to recognize depression more accurately using acoustic cues.
According to a study published in the journal Computer Methods in Applied Mechanics and Engineering, it is possible to train a machine to interpret real-world images using synthetic data and streamline the steps to diagnosis.
A new study published in the journal Nature Genetics, has discovered new genetic problems that contribute to autism in people.
According to a study presented at The International Conference on Nuclear Cardiology and Cardiac CT (ICNC) 2019, machine learning algorithms can potentially predict heart attack or death with 90 per cent accuracy.
According to a study published in the journal Radiology, a new artificial intelligence methods can predict a woman's future risk of breast cancer.
According to a study published in the Journal of Biomedical and Health Informatics, a machine learning algorithm might provide a fast and easy way of diagnosing anxiety and depression.
A new study conducted at the University of Michigan, has revealed that AI used on a smartphone-based platform is effective in detecting diabetic retinopathy.
A new study published in the journal IEEE Transactions on Medical Imaging has developed a new artificial intelligence system called FocalNet, that can help better diagnose prostate cancer.
According to a new study published in the The Lancet Oncology, new AI-based method can help in individualised treatment of brain tumours.
According to a new study, researchers claimed to have developed an artificial intelligence-based (AI) method for examination of brain tumours. This may pave the way for individualised treatment of tumours. Read on to know more about this.
According to a new study, researchers have come up with an AI system to predict the risk of early deaths owing to chronic disease in middle-aged adults.
A new study published in The Ocular Surface journal has developed an automated technique to diagnose eye surface cancer effectively.
