AI in Healthcare News and Updates June 2022

Our monthly report on AI, ML, DL, and NLP in healthcare looks at who, what, where, and how the use of artificial intelligence is changing healthcare for the better. We will bring you some of the latest news and product information along with thought leader posts and our AI playlist of episodes from Healthcare NOW Radio.

In the News

Yseop’s AI-Powered Augmented Analyst Chosen By Lilly To Expedite the Drug Approval Process and Deploy Automation at Scale
Yseop (@yseopAI), a world-leading AI software company and pioneer in Natural Language Processing (NLP), announced a strategic collaboration with Eli Lilly and Company (@LillyPad). This collaboration allows Lilly to deploy Yseop’s world-class enterprise automation platform, Augmented Analyst, to accelerate bringing Lilly’s medicines to patients.

Proscia Introduces AI-Powered Quality Control to Accelerate Data-Driven Drug Development
Proscia® (@ProsciaInc), a digital and computational pathology solutions company, has introduced an automated quality control application that leverages artificial intelligence to improve quality and efficiency in data-driven drug development. In launching automated quality control, Proscia is delivering on digital pathology’s first suite of process automation solutions, streamlining manual, repetitive tasks with AI. The company has also released a new version of its Concentriq® for Research platform to further unify global pathology operations and centralize data across the connected enterprise.

Tellius and Indegene Partner to Help Life Sciences Companies Enhance Patient Journeys with Faster Data-Backed Decision Making
Tellius (@TelliusData) announced a partnership with Indegene (@indegeneinsight), a technology-led healthcare solutions provider. The partnership will combine Tellius’ AI-driven decision intelligence platform with Indegene’s deep healthcare domain knowledge and advanced data and analytics expertise, enabling companies to drive faster and better business decisions that elevate patient journeys.

Cerner and AKASA Team Up to Scale Next-Gen, AI-Powered Revenue Cycle Automation
Cerner (@Cerner), a global healthcare technology company, is collaborating with AKASA (@akasahealth), a developer of AI for healthcare operations, to power automation within the revenue cycle for providers. The collaboration offers Cerner customers access to AKASA’s AI-based Unified Automation® platform that is purpose-built for healthcare.

Zsquare Wins 2022 German Innovation Award
Zsquare, a developer of high-performance, single-use endoscopes, announced that it has been named a winner in the German Innovation Awards 2022, presented by the German Design Council. The awards honor products and solutions that distinguish themselves primarily by their user-centricity and added value compared to earlier solutions across all industrial sectors.


RadNet Artificial Intelligence Subsidiaries, DeepHealth and Quantib, Obtain FDA Clearance for Mammography and Prostate AI Tools
RadNet, Inc., (@RadNet_Inc) announced that it has received FDA clearances for its DeepHeatlh Saige-DX™ mammography and Quantib® Prostate 2.0 MRI artificial intelligence algorithms. Saige-Dx, a more advanced successor to our FDA approved Saige-Q worklist triage software, is a cancer detection tool that enables radiologists to more effectively detect the presence or absence of breast cancer with the use of artificial intelligence. DeepHealth’s powerful new AI technology automatically identifies suspicious lesions in mammograms and assigns a suspicion level to each finding and to the entire case. It helps detect and diagnose breast cancer earlier while reducing unnecessary recalls.

Artificial Intelligence Company VirtuSense Technologies Announces Fall-Prevention Solution for Senior Living
VirtuSense Technologies (@VirtuSense), an artificial intelligence (AI) solution that detects and prevents falls before they occur, announced that the company’s VSTAlert solution is now available for senior living communities. Leveraging machine vision and an algorithm that learns residents’ habits, VSTAlert can detect high fall-risk residents exiting a bed or chair 30-65 seconds in advance, giving care teams time to intervene before a fall. This fall prevention solution, used primarily in skilled nursing facilities, has reduced patient falls with injury by up to 96%.

AI in Psychiatry – Transforming the Treatment of Mental Disorders
GrayMatters Health (@GraymattersH) is the first to use machine learning technology to create an Electrical-Finger-Print (EFP) of brain-mechanism-specific biomarkers that are utilized in its proprietary treatment of mental disorders, training patients to employ self neuro-modulation techniques using an interactive audio-visual software. This helps patients regain agency over their emotion regulation.

To Read

How Do Patients Benefit from Artificial IntelligenceBy Benedict Timmerman for ReadWrite (@RWW) – Artificial intelligence in healthcare has come a long way. The use of computers has advanced significantly over the past few years. Today, sophisticated machines have been developed to perform human tasks like analyzing and interpreting data and assisting with problem-solving. While machine learning (ML) has been widely used in many industries, the use and application of Artificial Intelligence (AI) in healthcare is still relatively new. It is only recently that we have seen AI move from the world of academics and research laboratories to hospitals.

Artificial intelligence tool shows promise for identifying cancer risk from lung nodulesBy Evrim Yazgin for Cosmos Magazine (@CosmosMagazine)- As artificial intelligence and machine learning technologies continue to be developed, they may become powerful tools in many fields, including that of medicine. AI, complementing human experience and judgement, has already shown promise as a prognostic tool. Recent research using an AI program to help identify, from the results of chest scans, the risk of lung cancer is an example of the technique in action.

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