Medial EarlySign

As the value of data is being realized across the healthcare sector, many questions are being asked on how to oversee the research and insights properly. CEO, Ori Geva, shares his thoughts on the matter.

Data, Data Everywhere, and Not a Drop to Drink There are many variations on the old mariner’s rhyme as it is now applied to oceans of data—especially in healthcare. But now, the deluge of daily data is not only overwhelming, it’s spawning a plethora of “magic wand” solutions, each claiming to somehow make sense of it all.

Artificial intelligence (AI) and machine learning have just begun to make substantial impacts in the healthcare sector across 2020. As these technologies continue to advance, the potential for continued constructive impacts progresses as well.

Predictions for AI-powered digital healthcare in 2021 Cancer diagnosis including digital pathology, telehealth and physician access are just some of the areas where AI can have outsize impact in 2021.

The healthcare sector has only just begun to experience the positive impact brought by artificial intelligence. AI has fueled the reshaping of significant methods through which disparate electronic data can now be optimized, amongst them- early detection of various diseases.

At EarlySign, our solutions are totally focused on the power of early detection. By empowering healthcare professionals with the predictive tools needed to identify patients who are potentially vulnerable to high-risk diseases down the road, we enable them to focus on delivering pre-emptive care at a crucial time.

How Artificial Intelligence is Reshaping the Healthcare Sector How Artificial Intelligence is Reshaping the Healthcare Sector By CIOReview - The healthcare sector is adopting artificial intelligence because it helps build reliable predictive tools for...

Chosen as a finalist for the CMS AI Challenge along with our partner Geisinger, Medial EarlySign is ready to take this opportunity head-on. As CEO, Ori Geva said, “Geisinger’s deep understanding and commitment to patient care augmented with our machine learning modeling allowed us to excel as a team. This challenge has proven to us the depth and value of our medical AI modeling framework and the power it gives our healthcare clients to handle complex clinical predictive modeling at scale.” We look forward to great things to come.

Geisinger Chosen as Finalist in CMS Artificial Intelligence Challenge Geisinger and Medial EarlySign have advanced to the final round of the CMS Artificial Intelligence Health Outcomes Challenge with their solution to reduce hospital admissions and adverse events.

The use of AI in healthcare has various challenges Ori Geva, CEO of Medial EarlySign shares his thoughts on the hurdles to be overcome through participating in the CMS AI Challenge alongside partner Geisinger.

Ori Geva on LinkedIn: #healthcare #ai #patientcentric During the competition of the CMS AI Challenge, we were up against real challenges. Challenges that come along with the introduction of AI, such as providing...