What You Should Know:
- Philips, a global leader in health technology, has announced a $25M investment from the U.S. Department of Defense (DoD) to accelerate the development and deployment of its Rapid Analysis of Threat Exposure (RATE) algorithm.
- The four-year project aims to enhance the predictive health monitoring of military personnel, ensuring their well-being and readiness in the face of potential health threats.
RATE: An Early Warning System for Infection
RATE
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Healthcare Algorithms | News, Analysis, Insights - HIT Consultant
Implicity Launches FDA-approved Heart Failure Prediction Algorithm, SignalHF
What You Should Know:
- Implicity, a leader in remote patient monitoring and cardiac data management, has received FDA 510(k) clearance for SignalHF1, a groundbreaking new algorithm within their remote monitoring solution.
- SignalHF1 algorithm empowers early detection and intervention, paving the way for improved patient outcomes and a brighter future for cardiac care.
Leveraging Big Data for Better Heart Care
Implicity holds a unique distinction as the first private
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PathAI, Roche to Develop AI-Enabled Digital Pathology Algorithms for Companion Diagnostics
What You Should Know:
PathAI, a pioneering AI-powered precision pathology company, has just announced an exclusive collaboration with Roche Tissue Diagnostics (RTD) aimed at advancing AI-enabled interpretation for companion diagnostics.
Through this strategic partnership, PathAI will work exclusively with Roche Tissue Diagnostics to develop AI-enabled digital pathology algorithms specifically tailored for companion diagnostics.
Advance AI-enabled Interpretation for Companion
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AI Algorithm Alerts Therapists to Suicide Risk in Patients
What You Should Know:
In light of Suicide Prevention Awareness Month, Talkspace announced the results of its unique AI algorithm over the last three years of identifying individuals at risk of self-harm or suicide. Using machine learning capabilities, the Talkspace platform can detect language patterns consistent with high-risk behaviors that place individuals at risk for self-harm.The analysis runs real-time on messages sent by patients in their secure and encrypted virtual therapy
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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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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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New AI ECG Algorithm Beats Standard Approaches for Detecting Heart Attacks
What You Should Know:
A new machine learning model uses electrocardiogram (ECG) readings to diagnose and classify heart attacks faster and more accurately than current approaches, according to a study led by University of Pittsburgh researchers that published today in Nature Medicine.The model was developed by co-author Ervin Sejdić, Ph.D., associate professor at The Edward S. Rogers Department of Electrical and Computer Engineering at the University of Toronto and the Research
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FWA Is Increasing. Healthcare Costs Are Spiraling. Now There’s A New Generation Of AI Technology To Take Back Control
In 2020, the Department of Justice estimated that fraudulent, wasteful, and abusive (FWA) billing practices account for more than $100 billion of the nation’s healthcare expenditures.1 Today, the National Healthcare Anti-Fraud Association (NHCAA) conservatively estimates that healthcare FWA costs the nation about $68 billion annually, representing 3% of the nation's $2.26 trillion in healthcare spending.2 FWA estimates from commercial health plans range as high as $230 billion annually, or
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M&A: MultiPlan Acquires Benefits Science LLC for $160M
What You Should Know:
MultiPlan, a provider of data-enabled cost management, payment, and revenue integrity solutions for 700+ healthcare payors announced the acquisition of Benefits Science LLC (BST) for $160M in cash and stock.BST was founded in 2012 by a group of MIT-trained experts in data science, including Dimitris Bertsimas, Ph.D., who is recognized as an early pioneer in healthcare analytics and who serves as the company’s chief data scientist. Dr. Bertsimas will continue with BST
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How AI Can Deliver Benefits in Healthcare Manufacturing and Patient Device Usage
According to Grand View Research, the global artificial intelligence (AI) in the healthcare market size was valued at USD 15.4 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 37.5% from 2023 to 2030, to reach an estimated USD 208.2 billion. That’s an impressive growth rate, indicating the expected value delivery to a mostly early-phase adoption of AI in the healthcare marketplace. With such aggressive predicted growth, many health industry professionals
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