Tag

medical advancements
06
Sep

The power of AI in surgery

Artificial intelligence (AI), defined as algorithms that enable machines to perform cognitive functions (such as problem solving and decision-making), has changed for some time now the face of healthcare through machine learning (ML) and natural language processing (NLP). Its use in surgery, however, took a longer time than in other medical specialties, mainly because of missing...

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03
Sep

Tapping Precision Medicine to Provide Individualised Eye Care

What if a powerful tool could be created, using artificial intelligence (AI), that would help diagnose, predict and treat the disease process in a retina? That is the question T.Y. Alvin Liu, M.D., assistant professor of ophthalmology at Wilmer Eye Institute at the Johns Hopkins University School of Medicine and a retina specialist, has set out to answer.

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01
Sep

New AI algorithm accurately and quickly diagnoses idiopathic pulmonary fibrosis

A Nagoya University research group has developed an AI algorithm that accurately and quickly diagnoses idiopathic pulmonary fibrosis, a lung disease. The algorithm makes its diagnosis based only on information from non-invasive examinations, including lung images and medical information collected during daily medical care.

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30
Aug

Scientists develop greener, more efficient method for producing next-generation antibiotics

An international team of researchers has developed a method for altering one class of antibiotics, using microscopic organisms that produce these compounds naturally. The findings, published July 25 in Nature Chemistry, could lead to more efficient production of antibiotics that are effective against drug-resistant bacteria.

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25
Aug

Creating a Microrobot to One Day Tackle Cancer.

We are hopeful and passionate about pushing the boundaries of this research for the miniaturization of medical microrobots for future applications in clinics. Our ultimate aim is to overcome the challenges, which remain plenty. For example, we must develop strategies to navigate and control these microrobots inside the host body with high precision, taking body...

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23
Aug

Early detection of sepsis using artificial intelligence: a scoping review protocol

Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. To decrease the high case fatality rates and morbidity for sepsis and septic shock, there is a need to increase the accuracy of early detection of suspected sepsis in prehospital and emergency department settings. This may be achieved by developing risk...

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20
Aug

Using AI to diagnose birth defect in fetal ultrasound images

In a new proof-of-concept study led by Dr. Mark Walker at the uOttawa Faculty of Medicine, researchers are pioneering the use of a unique AI-based deep learning model as an assistive tool for the rapid and accurate reading of ultrasound images.

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13
Aug

Melbourne researchers’ diabetes breakthrough could reduce need for insulin injections

Diabetes researchers say they have made a breakthrough that could pave the way to eliminating the need for daily insulin injections. The Monash University research, published in the Nature journal Signal Transduction and Targeted Therapy, could lead to the regeneration of insulin in pancreatic stem cells.

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20
Jul

St Vincent’s Hospital Sydney to deploy SNAC’s AI diagnostic solutions

Source: St Vincent’s Hospital Sydney has entered into a multi-year collaboration with imaging solutions developer Sydney Neuroimaging Analysis Centre to co-develop and deploy novel AI diagnostics solutions. According to a media release, the partnership will bring together AI engineers, radiologists, imaging analysts, expert clinicians and data, utilising SNAC’s technology platform to drive large-scale deployment of...

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18
Jul

AI system developed to determine optimal conditions for regenerative medicine 

Source: A robotic AI system has been developed by scientists that is capable of improving stem cell procedures that are utilized in regenerative medicine.  The development of the robotic AI system was carried out by a joint research group led by Genki Kanda at the RIKEN Center for Biosystems Dynamics Research (BDR). The peer-reviewed research was published...

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