#AIdiagnostics

[stayinghealthy12]

How Toronto Practices Are Embracing Virtual Care in 2024

Toronto optometrists are revolutionizing eye care with virtual exams, AI diagnostics, and real-time monitoring for a modern, accessible experience.

[thedevmaster-tdm]

How AI is Revolutionizing the Healthcare Industry 🤖

[yashmedica]

From Bench to Breakthrough: How Next-Gen Technologies are Transforming Labs

The laboratory equipment market is thriving, driven by advancements in next-generation sequencing, microfluidics, and automation

The Powerhouse of Discovery: A Look at the Laboratory Equipment Market From groundbreaking research to routine medical diagnostics, laboratory equipment plays a vital role in healthcare. The global laboratory equipment market is anticipated to reach a staggering USD 84.79 billion by 2030, driven by rising demand for advanced technologies and increasing investments in life sciences research. This…

[otiskeene]

Owkin Enters Collaboration Agreement With MSD To Develop AI-powered Diagnostics For Cancer

A partnership has been established between Owkin and MSD (Merck & Co. Inc.) with an emphasis on AI-driven digital pathology diagnostics for cancer. The collaboration seeks to improve patient care and diagnostics. Initially focusing on four cancer types in the EU, they will create a pre-screening procedure for MSI-H (microsatellite instability-high) in different types of cancer. Enhancing testing rates is the aim in low-prevalence cancers where MSI-H screening is not standard, such as endometrial, gastric, small intestine, and biliary cancers.

With the use of AI, this project hopes to find more MSI-H cancer patients who may benefit from immune checkpoint inhibitor (ICI) treatments. In an effort to improve health care, Owkin and MSD anticipate the potential of AI in disease diagnosis and patient screening.

A CE-marked MSI digital pathology diagnosis for colorectal cancer is offered by the biotech business Owkin. The goal of this partnership is to apply this technique to novel forms of cancer. Owkin's method combines artificial and human intelligence to guarantee that each patient receives individualized care. Their main goals are creating AI diagnostics, finding new medicines, and de-risking and expediting clinical trials. They access current patient data by utilizing federated learning and AI, enhancing precision treatment while protecting patient privacy.

Read More - bit.ly/3TtdWVx

[lovelypol]

"Strategic Forecast for Medical Imaging Market: 2024-2033"

Medical imaging is at the forefront of modern healthcare, revolutionizing how diseases are diagnosed, monitored, and treated. Utilizing advanced technologies such as X-rays, MRI, CT scans, and ultrasound, medical imaging provides detailed, non-invasive insights into the human body, allowing for early detection of abnormalities and precise treatment planning.

Innovations in this field, including the development of 3D imaging and AI-driven diagnostic tools, are enhancing the accuracy and efficiency of medical evaluations. These advancements not only improve patient outcomes by enabling timely and targeted interventions but also reduce the need for exploratory surgeries and minimize patient discomfort. Furthermore, medical imaging is pivotal in fields like oncology, cardiology, and neurology, where it assists in identifying tumors, assessing heart conditions, and mapping brain functions. The integration of digital technologies has also streamlined the sharing and analysis of medical images, fostering collaborative care and research. As the capabilities of medical imaging continue to expand, it remains a cornerstone of personalized medicine, driving the evolution of healthcare towards more precise, proactive, and patient-centric models.

#MedicalImaging #HealthcareInnovation #Xray #MRI #CTScan #Ultrasound #3DImaging #AIDiagnostics #EarlyDetection #PatientCare #Radiology #Oncology #Cardiology #Neurology #FutureOfHealthcare

[storesandmarket]

Pilot project to use #AI in #eye exams for diabetes patients The #eyes may be the window to the soul, but the buzz on the front line of #health care is a new #screeningtool that relies on #artificialintelligence to detect illness. The Centre #hospitalier de l’Université de Montréal is gearing up to run a pilot project — the first in Canada — using an AI diagnostic system to identify #eyeproblems in people with #diabetes that can lead to #blindness. Diabetic #retinopathy, a frequent complication of diabetes, is a leading cause of blindness affecting 500,000 Canadians. The condition is caused by lesions to the small #blood vessels and neurons of the #retina, the light-sensitive tissue lining the back of the eye. It often develops and progresses without symptoms and so tends to go unnoticed until irreversible #visionloss occurs. But now Quebec patients at risk will be eligible for a quick, safe and reliable #eyeexam, #hospital officials said. Starting June 18, the CHUM will unveil an #AIdiagnostic #telemedicine platform meant to function as an autonomous, stand-alone, mass #screeningtool. During the six-month pilot project highlighting #technology as part of its “vitrine technologique,” the hospital is joining forces with Diagnos Inc., a Quebec company that is using its CARA Tele-Retinal technology in 16 countries. It’s a non-invasive #eyetest that for the patient takes less than 10 minutes to do. There are no #eyedrops, and no down time. #Patients will be asked to lean their chins and foreheads against a headrest and stare unblinking into a camera that takes digital images of the back of the eye. These images will be identified and sorted by an #algorithm, said Yves-Stéphane Couture of #Diagnos, which is capable of analyzing large data sets to find anomalies. In this case, it will scan enlarged pictures of the back of the eye showing the #retinalvein, the #opticdisc and the #macula, the part of the retina responsible for the sharp, detailed central #vision. The algorithm is trained to find, for example, dark lesions caused by #bleeding or #bloodclots, and white lesions where the #cells have died for lack of oxygen.