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Paper Calls for Patient-first Regulation of AI in Healthcare

Imaging Technology

of the Qualcomm Institute within the University of California San Diego , finds that question can be difficult to answer since AI products in healthcare do not universally undergo any externally evaluated approval process assessing how it might benefit patient outcomes before coming to market. A new study published in JAMA led by John W.

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Healthcare Information Management Systems Society, Recognizes HIMSS 2024 Changemakers in Health Award Recipients

Imaging Technology

christine.book Thu, 02/29/2024 - 10:00 February 29, 2024 — The Healthcare Information Management Systems Society , HIMSS , recently announced it HIMSS 2024 Changemaker in Health Awards and scholarship recipients, according to an announcement published Jan. 25 by the organization.

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Academic Institutions Launch Groundbreaking Healthcare AI Challenge

Imaging Technology

13, 2024 — Mass General Brigham AI is hosting the Healthcare AI Challenge , a multi-institutional virtual, interactive series of events where healthcare professionals can explore and assess the latest AI healthcare technologies in real-world healthcare scenarios. tim.hodson Thu, 11/14/2024 - 10:51 Nov.

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UW's Grist honored with creation of funded professorship

AuntMinnie

The GE HealthCare (GEHC) Foundation has given $3 million for the creation of a professorship at the University of Wisconsin (UW) School of Medicine and Public Health Department of Radiology. Tom Grist, MD. Grist pushed the boundaries of knowledge in the fields of MRI and CT.

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AI and Machine Learning in Healthcare

Aidoc

What is Machine Learning in Healthcare? Machine learning in healthcare represents a revolutionary approach to analyzing vast datasets to uncover patterns, predict disease states, flag suspected pathologies and personalize treatment plans. Personalized treatment enhances patient satisfaction and improves overall health outcomes.

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Nanox Receives FDA Clearance for HealthFLD, an Advanced AI-Based Software Empowering Clinicians in Assessment of Fatty Liver

Imaging Technology

adults are living with MASLD or NAFLDi, a metabolic disease linked to obesity, cardiovascular disease and type 2 diabetes, all of which pose significant public health concerns. As such, early diagnosis of MASLD could benefit patients and the healthcare system. An estimated 24% of U.S.

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What motivates imaging data sharing for AI development?

AuntMinnie

Data privacy concerns steer organizational leaders from sharing public health data such as imaging for AI development, a study published on December 19 in JAMA Network Open reported. One common ask of radiologists in this area is for more prospective AI studies with larger imaging datasets.

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