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Image: Trained ophthalmic assistants use an adapted smartphone for retinal imaging; Copyright: Universitätsklinikum Bonn (UKB) / Sankara Eye Foundation India

With smartphones against blindness

03/12/2021

Damage to the retina due to diabetes is now considered the most common cause of blindness in adults. This makes early detection of so-called diabetic retinopathy all the more important. But for diabetics living in poorer areas of the cities in India, there is a lack of adequate ophthalmological care. Therefore, the University Hospital Bonn has launched a smartphone-based telemedicine DR screening.
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Image: Researchers at Icahn School of Medicine developed an electrocardiogram-reading algorithm that can detect subtle signs of heart failure; Copyright: Glicksberg and Nadkarni labs

Scientists show how AI may spot unseen signs of heart failure

19/10/2021

A special artificial intelligence (AI)-based computer algorithm created by Mount Sinai researchers was able to learn how to identify subtle changes in electrocardiograms (also known as ECGs or EKGs) to predict whether a patient was experiencing heart failure.
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Image: Hand above of a Sensor; Copyright: Tokyo Medical and Dental University

Cervical Myelopathy Screening Focusing on Finger Motion Using Noncontact Sensor

15/10/2021

Cervical myelopathy (CM) results from compression of the spinal cord in the neck and causes difficulty moving the fingers and unsteady gait. As patients with early-stage CM have minimal subjective symptoms and are difficult for non-specialists to diagnose properly, the symptoms can be aggravated before patients are diagnosed with CM by a specialist.
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Image: X-ray shows pleural effusion in right lung due to lung cancer; Copyright: PantherMedia/ stockdevil_666

Artificial intelligence could help diagnose lung cancer a year earlier

21/09/2021

An artificial intelligence (AI) program can spot signs of lung cancer on CT scans a year before they can be diagnosed with existing methods, according to research presented at the European Respiratory Society International Congress.
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Image: Gabriel Popescu, professor of electrical and computer engineering at the University of Illinois Urbana-Champaign; Copyright: Beckman Institute for Advanced Science and Technology

Microscopy plus AI equals rapid COVID-19 detection

14/09/2021

Researchers at the Beckman Institute for Advanced Science and Technology combined label-free microscopic imaging with artificial intelligence to quickly detect and classify SARS-CoV-2.
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Image: TTSH’s Dr Leonard Yip (left) and NTU Singapore’s Assoc Prof Wang Lipo show their new method to screen glaucoma; Copyright: NTU Singapore

Singapore scientists develop AI-powered system to diagnose glaucoma using eye images

08/09/2021

Scientists from Nanyang Technological University, Singapore (NTU Singapore), in collaboration with clinicians at Tan Tock Seng Hospital (TTSH) in Singapore have developed a novel method that uses artificial intelligence (AI) to screen for glaucoma, a group of eye diseases that can cause vision loss and blindness through damage to the optic nerve at the back of the eye.
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Image: Video recording from mother and child. Algorithm on the right side which analyses the children’s movements on video; Copyright: Kojovic, Natraj, Mohanty, Maillart, Schaer

Using video for the early detection of autism

07/09/2021

The team at the University of Geneva (UNIGE), Switzerland, has developed an artificial intelligence (AI) algorithm based on the automated analysis of videos, making it possible to study children’s non-verbal communication in an anonymous and standardised manner.
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Image: Colorful cubes with heart symbols are floating over a smartphone; Copyright: panthermedia.net/thodonal

Cardiology: digital solutions support those coping with chronic illness

03/02/2020

According to the World Health Organization (WHO), cardiovascular diseases are the leading cause of death worldwide, taking an estimated 17.9 million lives each year. Acute events such as heart attacks and strokes stand out in this setting. Chronic heart diseases can also be a debilitating condition for many patients. If cardiology uses digital methods and tools, it can reach more affected people.
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Image: diagnostic test on a table; Copyright: beta web GmbH/Melanie Prüser

Single-use tests: sensitivity and easy use combined for diagnostics

12/12/2019

Diagnostic testing usually takes some time and a sterile environment to get the results. To cut down on the costs and effort spend on these tasks there are different diagnostic tests. One of them are single-use tests offered by SensDx S.A. The technology behind them not only makes the process faster and easier, but provides the opportunity to expand into home use in the future as well.
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Image: Wrist with smartwatch, which measures the pulse rate; Copyright: panthermedia.net / Lev Dolgachov

mHealth: Atrial fibrillation detection – App supports heart health

08/05/2019

Atrial fibrillation is the most common type of persistent cardiac arrhythmia (irregular heart rhythm). Researchers estimate that 1.8 million Germans are presently affected by this disease. The condition is difficult to diagnose, frequently goes undetected and may result in a stroke. A new smartwatch medical app is designed to help patients detect atrial fibrillation before it’s too late.
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Image: digital capture of an eye; Copyright: panthermedia.net / cosmin momir

A digital look inside the human eye – when algorithms diagnose Diabetes

02/01/2019

Diabetes mellitus or simply diabetes has become very common and is often described as a lifestyle disease. More and more people are suffering from this chronic metabolic disorder. Next to established diagnostic procedures, digital retinal screening has shown to be successful - a promising technique that will also play an important role in the diagnosis of other diseases in the future.
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Image: Radiology assistant presses a button at the front of a CT; Copyright: panthermedia.net/Arne Trautmann

Lung cancer: Screening with low-Dose CT scans

01/10/2018

Lung cancer is one of the most common and deadliest cancers. The symptoms tend to be non-specific, often causing its detection to be too late. Currently, there is no comprehensive screening. This could change with the use of low-dose CT scans. It should be noted that this is not just an issue of technical feasibility. A screening test must also make sense from a health policy perspective.
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Image: DermaFC developed by Magnosco; Copyright: Magnosco

A startup makes melanin glow: skin cancer diagnostics with Magnosco

09/04/2018

When a skin lesion is suspected to exhibit malignant changes, it is usually promptly removed. However, not all cases require an excision of the affected tissue. The startup company Magnosco has developed a procedure that uses a laser to support the diagnosis and early detection of malignant melanoma.
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