Why HCOs Need a Portfolio Management Approach to AI
No one AI technology will address everything and solve all problems, so systems should prioritize those that promise the greatest value and ROI.
AI-based medical imaging startup Aidoc raises a $27 million Series B
Aidoc pitches its product as a way to more quickly scan and detect potential issues in medical images.
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What Keeps Healthcare CIOs Up at Night: Balancing Technology Investments with Consumer Expectations
When it comes to managing inbound phone calls, underperformance has devastating cost implications.
How Nvidia is trying to overcome the barriers for AI in healthcare
Updates to the company's Clara healthcare platform are trying to make it easier for clinicians to train and adapt deep learning algorithms, while also making the implementation process smoother.
Dr. Eric Topol on finding the way back from the “abject failure” of EHR implementation
During a presentation at Nvidia's GTC 2019 Conference in San Jose, Topol sketched out a vision of a world where this multi-modal data is collected and assessed from "the pre-womb to the tomb" and run through clinically validated algorithms that can reveal personalized insights and aid in more accurate diagnoses.
NVIDIA expands AI radiology efforts with new software capabilities and partnerships
The company is hoping to boost the adoption of AI in medical imaging with new software development kits and deals with Ohio State University and the NIH.
Insights on big data from Optum Technology’s first Technical Fellow
In a Q&A, Optum Technology's Kerrie Holley discuses the potential of big data in healthcare, some of the barriers to adoption what can be done to win back the trust of patients.
Using Data to Help Healthcare Practices Succeed
A new report from Relatient, A Data-Driven Guide to Patient Access Succes, highlights how focusing on data accuracy and relevance can enhance the performance of healthcare practices.
Is AI set to transform healthcare? Not according to CIOs
Healthcare CIOs understand that without ready-access to quality data to feed AI engines, the technology is simply not going to work.
3 compelling use cases reveal how radiologists can use AI to help the specialty advance
AI-for-radiology advances are being developed by and in partnership with radiologists to improve physician workflows and patient care with real-time assessment, point-of-care interventions, faster exam times, and more confident diagnoses.
How computer vision will redesign healthcare
Machine learning can transform healthcare and but the interoperability barrier is the first domino that needs to fall in order to realize the full scope of its potential.
Aidoc harnesses deep learning to improve the radiologist’s workflow
The Tel Aviv, Israel-based startup is leveraging artificial intelligence and deep learning to improve the radiology workflow. Its technology pinpoints abnormalities in a medical image.
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Transforming Patient Care: The Role of AI-Powered Assistants
The progress in artificial intelligence (AI) is reshaping patient care, across various dimensions, from facilitating faster discharge to curating treatment plans and suggesting lifestyle changes.
GE Healthcare, Partners embark on decade-long AI collaboration
Over a 10-year span, GE Healthcare and Partners HealthCare will be working together to bring artificial intelligence to all parts of the patient journey.
Startup Arterys wins FDA clearance for AI-assisted cardiac imaging system
Arterys Inc.’s Cardio DL program applies artificial intelligence to automate tasks that radiologists have been performing manually.
Study: Deep learning algorithms show high accuracy for spotting diabetes retinopathy
The study underscores both the interest in developing machine learning tools for clinical decision support and making early detection of diabetic retinopathy easier.
Using deep learning and artificial intelligence to map the genome and predict disease
Deep Genomics, a new University of Toronto spinout, uses artificial intelligence and deep machine learning to try to mimic the way in which the cell works - and predict whether a person will get a disease or not.