What You Should Know:
Elsevier Health, a global leader in information and data analytics, released its Clinician of the Future 2023 report, which serves as the global health ecosystem’s most recent pulse on what doctors and nurses think about the changes and challenges in healthcare, including the rapid rise of generative AI products and platforms.The report finds that almost half of all doctors and nurses are eager for physicians to utilize this innovative technology in the future to
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Artificial Intelligence in Healthcare | News, Analysis, Insights - HIT Consultant
Balancing AI-Enhanced Automation in Healthcare Revenue Cycle
Typically, hearing the terms “Automation or AI” elicits one of two responses-- an immediate sense of apprehension and avoidance, or a complete overestimation of its capabilities, though in some cases those two responses go hand in hand. However, neither view is particularly helpful as one is trying to understand the tremendous power of this capability and employ it in appropriate places within their business.
The truth is, automation and AI are here and they’re here to stay. Though there are
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Ibex Launches Breast Cancer Biomarker Diagnostic Platform
What You Should Know:
Ibex Medical Analytics launches Galen Breast HER2™, a novel breast cancer AI-powered biomarker scoring solution developed in collaboration with AstraZeneca and Daiichi Sankyo, to support improved patient outcomes.Galen Breast HER2 is an AI-powered biomarker scoring solution to aid pathologists with reproductible HER2 assessment for breast cancer. The platform allows clinicians to rapidly and accurately identify patients with HER2-low who would benefit from
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GE Healthcare, Mass General Brigham Co-Develop AI Algorithm for Radiology Scheduling Predictions
What You Should Know:
- GE HealthCare and Mass General Brigham form a strategic collaboration on the co-development of an artificial intelligence (AI) algorithm that will help increase scheduling operations effectiveness and productivity.
- The first innovative AI app from the collaboration is the schedule predictions dashboard of Radiology Operations Module (ROM), a digital imaging tool that helps optimize scheduling, reduce cost, and free providers from administrative burden, allowing
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Ibex Medical Analytics Raises $55M to Drive AI for Cancer Diagnosis Adoption Globally
What You Should Know:
– Ibex Medical Analytics (Ibex), a provider of AI-powered cancer diagnostics raises $55M in Series C financing round led by 83North.
- The round also included participation from Sienna Venture Capital and existing investors in the company, Octopus Ventures, aMoon, Planven Entrepreneur Ventures and Dell Technologies Capital. The financing brings total funding to over $100M since Ibex’s inception in 2016.
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Augmedix Expands AI Medical Documentation to Behavioral Health Market
What You Should Know:
- Augmedix announced today the expansion of the company’s ambient medical documentation products to the behavioral healthcare market.
Augmedix currently supports behavioral healthcare entities with its Augmedix Live and Augmedix Notes products and will supplement those with its newest product, Augmedix Go, later this year.
Reduces Burnout for Behavioral Health Clinicians
Nearly half of psychologists report burnout or the inability to meet patient demand.
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HTD Health Launches Healthcare AI Practice Led by Erkin Ötles
What You Should Know:
- HTD Health, a New York-based company specializing in virtually-enabled care, EMR integration, and Software as Medical Device (SaMD) design and development, is launching a healthcare AI practice with partner Erkin Ötleş to meet the changing needs of the industry.
- The firm works with healthcare organizations across the sector to plan, design, and build software systems to improve patient engagement, clinical efficiency, care quality, and
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Balancing Innovation and the Ethical Adoption of AI in Healthcare
In recent years, the rapid advancement of artificial intelligence (AI) has created a wave of excitement and anticipation within the healthcare industry. AI has the potential to revolutionize patient care, improve diagnostic and prognostic accuracy, enhance treatment planning, and streamline administrative tasks. However, for AI to truly deliver on its promises, it is essential that AI tools undergo rigorous clinical validation. As both industry and government leaders continue to determine the
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The Self-Driving Clinical Trial: Optimizing Research with AI and ML
The power and potential of artificial intelligence (AI) and machine learning (ML) in the healthcare industry are unparalleled. The use of automated technology systems like digital workflows, orchestration and storing of data digitally is helping to shape their application, enabling far greater personalization of treatment for patients and greater efficiency and speed of clinical trials.
As the amount of health data increases, the possibility of establishing a self-driving clinical trial is
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Viz.ai, UCSF to Commercialize 3 Cardiac AI Algorithms
What You Should Know:
- Viz.ai, an AI-powered disease detection and intelligent care coordination has signed an exclusive licensing agreement with University of California, San Francisco (UCSF) to commercialize three AI algorithms for the automated detection of cardiovascular diseases.
- Developed at UCSF by leading researchers, these AI algorithms to detect cardiac amyloidosis, pulmonary hypertension, and supraventricular tachycardia are based on analysis of electrocardiograms (ECGs), the
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