A study reveals artificial intelligence must be carefully tested across multiple environments before being put into clinical practice.Artificial intelligence (AI) tools trained to detect pneumonia on chest X-rays suffered significant decreases in performance when tested on data from outside health systems, according to a new study conducted at the Icahn School of Medicine at Mount Sinai and published in a special issue of PLOS Medicine on machine learning and healthcare. These findings
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Impact of Deep Learning in Healthcare | AI |ML | News, Analysis, Insights - HIT Consultant
4 Barriers to Overcome Before AI in Medical Imaging Becomes Mainstream
The world market for artificial intelligence (AI) in medical imaging, comprising software for automated detection, quantification, decision support, and diagnosis, is forecasted to reach $2 billion by 2023, according to a new report from Signify Research, an independent supplier of market intelligence and consultancy to the global healthcare technology industry. The report, “Machine Learning in Medical Imaging – 2018 Edition” provides a data-centric and global outlook on the current and
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Zebra Medical Vision Raises $30M, Unveils AI-Based Chest X-Ray Reader
Zebra Medical Vision, an Israeli-based machine and deep learning startup utilizing big data to diagnose diseases far better than radiology has raised $30 million in Series C funding led by aMoon Ventures. The round also included particpation from Aurum, Johnson & Johnson Innovation JJDC Inc. and Intermountain Healthcare and leading global AI scientists Professor Fei Fei Lee and Richard Socher. The latest round brings the total investment in the company to $50M. Founded in 2014, Zebra
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Mendel.ai Raises $2M to Launch AI-Powered Medical Matching Service
Mendel.ai, a San Francisco-based startup has raised $2 million in seed funding co-led by DCM Ventures and Bootstrap Lab to launch a new artificial intelligence engine for doctors. The company has developed a new artificial intelligence engine that enables doctors and patients to more quickly find the best diagnostic and treatment methods available for their patients’ medical conditions.Founded by Dr. Karim Galil, Mendel.ai has developed a sophisticated algorithm that understands the
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Stanford Researchers Develop Algorithm to Diagnose Heart Arrhythmias
Stanford researchers from the Machine Learning Group have developed an algorithm that is able to outperform cardiologists in arrhythmia detection, according to research published on arXiv. The new deep learning algorithm can diagnose 14 types of heart rhythm defects, called arrhythmias and has the ability to sort through data from rural locations where people do not have routine access to cardiologists. Traditionally, patients suspected to have an arrhythmia will often get an electrocardiogram
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Partners, GE Healthcare Launch 10-Year Initiative to Bring Artificial Intelligence to Diagnostic Imaging
Partners HealthCare and GE Healthcare announced a 10-year collaboration to rapidly develop, validate and strategically integrate artificial intelligence technology across the entire continuum of care. The vision of the collaboration includes co-development of open platform on which deep learning applications can be created, validated and seamlessly integrated into clinical workflows. Specific areas of focus span across multiple medical specialties including:- Radiology- Pathology- Population
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Samsung Integrates with MedyMatch’s A.I. Platform to Improve Stroke Assessment in Ambulances
Samsung NeuroLogica Corporation has announced an collaboration with Tel Aviv-based startup MedyMatch to integrate its MedyMatch’s A.I.-based clinical decision support app with Samsung NeuroLogica's medical imaging hardware in the acute care marketplace. This collaboration will create support tools which provide a second read capability to help caregivers quickly and accurately assess patients in prehospital environments. The announcement marks the Israel-based company traction following its
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IBM Watson Health Integrates with MedyMatch’s A.I. Platform to Help Doctors Identify Head Trauma and Stroke
IBM Watson Health has inked a licensing agreement with Tel Aviv-based startup MedyMatch to integrate its MedyMatch’s A.I.-based clinical decision support app to help doctors identify instances of intracranial bleeding as a result of head trauma and stroke. As part of the integration, IBM Watson’s Health Group will distribute the MedyMatch brain bleed detection application globally through its vendor neutral sales channels. Both companies have future plans to develop further interoperability
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Stanford Researchers Develop Deep Learning Algorithm to Diagnose Skin Cancer
Computer scientists at Stanford have created a deep learning algorithm to visually diagnose skin cancer that matched the performance of board-certified dermatologists, Stanford News reports. According to a recent paper published in the Jan. 25 issue of Nature, the final product based on a database of nearly 130,000 skin disease images was tested against 21 board-certified dermatologists and successfully matched the performance of the dermatologists in diagnosing the most common and deadliest
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KenSci Nabs $8.5M to Develop Machine Learning Apps for Healthcare
KenSci, a Seattle-based digital health startup building the world’s first vertically integrated machine learning platform for healthcare has raised $8.5 million in Series A funding led by Ignition Partners with participation from Osage University Partners and Mindset Ventures. The company plans to utilize the funding to scale its machine learning platform for predictive risk management and expand operations to support the company’s rapidly growing customer base.Incubated at the University of
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