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
Ibex Reports Excellent Outcomes for AI-supported Diagnosis of Breast Cancer
Ibex Medical Analytics (@IbexMedAx), an AI-powered cancer diagnostics company, announced outstanding outcomes for the Galen™ Breast solution in diagnosing multiple cancer types and further expansion of its AI portfolio for breast cancer diagnosis. The CE-Marked AI solution is generally available as Ibex partners with laboratories, hospitals and health systems across Europe to deploy Galen™ Breast into their routine workflow, supporting improved quality and efficiency in the diagnosis of breast biopsies.
EchoNous Alliance with Samsung Aims to Put AI-guided Ultrasound in More Doctors’ Hands
EchoNous (@echonous), the leader in ultra-portable, AI-guided point-of-care ultrasound (POCUS) tools and software, announced an alliance with electronics giant Samsung, makers of the Galaxy line of mobile tablets. Kosmos, EchoNous’s powerful AI-guided handheld ultrasound tool, will now be able to run on off-the-shelf Galaxy Tab Active Pro tablets; models 12.0 and higher.
GE Healthcare in collaboration with Nex Cubed select six digital health start-ups for inaugural Edison Accelerator in Canada
Six digital health start-ups from five countries have officially become the first cohort of the Edison Accelerator in Canada – a program designed by GE Healthcare (@GEHealthcare) and delivered in collaboration with Nex Cubed (@nexcubed) to accelerate, validate, and scale innovative solutions that address important challenges in the healthcare sector. The selected companies all focus on applying Artificial Intelligence (AI) to augment medical imaging with the potential to transform how healthcare is delivered. AI is poised to increase productivity and the efficiency of care delivery and allow healthcare systems to provide better care to more people. AI can help improve the experience of healthcare practitioners, with the goal of enabling them to spend more time in direct patient care and reducing burnout.
From the Front Line to the Operating Room: Sheba Medical Center to Integrate Elbit Systems Advanced Military Thermal Imaging Technology
Sheba Medical Center, Israel’s largest medical center and a Newsweek top-10 ranked world’s best hospital for the last four years, announced that is has signed a Memorandum of Understanding (MoU) with Opgal, a subsidiary of Elbit Systems, to utilize advanced thermal imaging technologies previously used for military and security purposes. The integration of the thermal imaging cameras intends to improve the efficiency and efficacy of surgery and treatment in four key areas: heart surgery, diabetic foot treatment, surgical incision infections and respiratory monitoring.
Reveleer Launches Risk Adjustment 2.0: New AI-Driven Coding Capabilities For health Plans and Risk-Bearing Providers
Reveleer (@reveleer), a healthcare technology company using intelligent automation to empower data driven healthcare for payers in all lines of business, announced the launch of Reveleer for Risk 2.0. (Risk 2.0), the revolutionary and only end-to-end cloud-based platform for clinical data acquisition and coding for health plans nationwide. Proprietary Artificial Intelligence-driven capabilities allow health plans to confidently plan and execute risk adjustment programs with critical support to automate the collection, analysis, review, and submission of risk adjustment data.
Changing Your Perspective – Mindray Redefines the Possibilities of Point of Care Ultrasound (POCUS)
Mindray North America (@Mindray_NA), a global company and developer of healthcare technologies and solutions for ultrasound, patient monitoring, and anesthesia, announced the launch of a new product that is changing the perspective in the Point of Care Ultrasound (POCUS) market: the TE X Ultrasound System. The technology-rich system gives clinicians access to the most robust suite of artificial intelligence (AI)-powered Smart Tools available today and is powered by Mindray’s proprietary software-based beamformer Zone Sonography Technology+ (ZST+). This new product has a leading industrial design with an unrivaled 23.8-inch rotatable, full touchscreen display that supports both landscape and portrait orientation for easy adaptability to any clinical environment, and an industry-first wireless transducer that connects to the TE X System or can be used independently with a mobile device.
Crohn’s Disease is on the rise: Could drug repurposing help? – By Jinhan Kim, Co-founder and CEO, Standigm (@standigm) – The number of patients with Crohn’s Disease (CD) is set to rise from 1.4 million to 1.55 million or 7% in 2029 across France, Germany, Spain, UK and the U.S. The prevalence of CD is the highest in the U.S. at 243 cases per 100,000 persons. CD is an idiopathic chronic, transmural inflammatory process of the bowel that can affect any part of the gastrointestinal tract from the mouth to the anus. While the cause of CD remains unknown, many factors have increased the incidence of CD alone or in tandem with ulcerative colitis (UC) as part of Inflammatory Bowel Disease (IBD) that are the direct result of industrialization, urbanization, a Western lifestyle and other environmental factors.
Changing the Future of Health Care with the Right AI Validating Tools – By John Halamka, M.D. & Paul Cerrato, Mayo Clinic Platform (@MayoPlatform) – Initial reports about the potential of machine learning to transform health care first were met with mixed reactions by clinicians. Many experienced clinicians expressed doubts about its application “in the trenches,” while early adopters were eager to put AI-fueled algorithms to immediate use in patient care. In the years that followed, critics and enthusiasts have both taken a more nuanced position. As reviews about poor accuracy and possible bias surfaced, it has become apparent that we need to take a more critical look at these digital tools. Our recent critique in BMJ Health & Care Informatics, for instance, discusses how some algorithms have built-in biases toward Blacks, women and patients of a lower socioeconomic background.