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New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

By MedImaging International staff writers
Posted on 06 Oct 2022

Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until now, these complex images have been highly dependent on humans to read. In addition, the number of images continues to grow, increasing the workload for radiologists and other healthcare professionals tasked with interpreting these images for clinicians and patients. Now, a new industry solution makes imaging healthcare data more accessible, interoperable and useful.

Google Cloud (Sunnyvale, CA, USA) enables the development of AI for imaging to support faster, more accurate diagnosis of images, increased productivity for healthcare workers, and improved care access and outcomes for patients. Google Cloud has announced its new Medical Imaging Suite that addresses common pain points organizations face in developing AI and machine learning models, and uses this to enable data interoperability. The components of the Medical Imaging Suite include:

Imaging Storage: Cloud Healthcare API, part of the Medical Imaging Suite, allows easy and secure data exchange using the international DICOMweb standard for imaging. Cloud Healthcare API provides a fully managed, highly scalable, enterprise-grade development environment and includes automated DICOM de-identification. Imaging technology partners include NetApp for seamless on-prem to cloud data management, and Change Healthcare, a cloud-native enterprise imaging PACS in clinical use by radiologists.

Imaging Lab: AI-assisted annotation tools from NVIDIA and MONAI help automate the highly manual and repetitive task of labeling medical images, and Google Cloud also offers native integration with any DICOMweb viewer.

Imaging Datasets & Dashboards: Organizations can use BigQuery and Looker to view and search petabytes of imaging data to perform advanced analytics and create training datasets with zero operational overhead.

Imaging AI Pipelines: Using Vertex AI on Google Cloud can accelerate development of AI pipelines to build scalable machine learning models, with 80 percent fewer lines of code required for custom modeling.

Imaging Deployment: Finally, the Medical Imaging Suite offers flexible options for cloud, on-prem, or edge deployment to allow organizations to meet diverse sovereignty, data security, and privacy requirements - while providing centralized management and policy enforcement with Google Distributed Cloud, enabled by Anthos.

Privacy and security are of the utmost importance in all aspects of Google Cloud's Medical Imaging Suite. Through the implementation of Google Cloud's reliable infrastructure and secure data storage that support HIPAA compliance - along with each customer's layers of security, privacy controls and processes - customers are able to protect the access and use of patient data. Google Cloud's ecosystem of delivery partners provides expert implementation of services for Medical Imaging Suite to help healthcare and life sciences organizations deploy at scale.

Hackensack Meridian Health (Edison, NJ, USA), a network of healthcare providers, is beginning to use the Medical Imaging Suite to de-identify petabytes of images with future plans to build AI algorithms to predict metastasis in patients with prostate cancer, a life-threatening outcome disproportionately affecting Black men in the U.S.

"We are working towards building AI capabilities that will support image-based clinical diagnosis across a range of imaging, and be an integral part of our clinical workflow," said Sameer Sethi, SVP and chief data and analytics officer at Hackensack Meridian Health. "Google Cloud's imaging capabilities, including standardized storage and de-identification, are helping us unlock the value of our imaging data so clinicians and researchers are equipped with digitized decision support that fits into their clinical workflow. Google's Medical Image Suite is also fundamental to us applying AI and machine learning to this data to predict and prevent disease, helping to save more lives."

Hologic, Inc. (Marlborough, MA, USA) has developed the first CE-marked digital cytology platform for laboratories, which combines a new AI algorithm for cervical cancer screening with advanced volumetric imaging technology. The platform helps cytologists and pathologists identify precancerous lesions and cervical cancer cells in women. Next, Hologic plans on expanding the platform's capabilities using the Medical Imaging Suite.

"We've partnered with Google Cloud to use the Medical Imaging Suite to enhance our current Genius Digital Diagnostics System," said Michael Quick, vice president of Research and Development, Innovation at Hologic. "By complementing our expertise in diagnostics and Al with Google Cloud's expertise in AI, deep learning, and its cloud-based technologies for imaging storage, we're evolving our market-leading technologies to improve laboratory performance, healthcare provider decision-making, and patient care."

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75 (45.061111450195): SELECT id,name,title FROM jos_deeppockets WHERE cat=10 AND TYPE='file_folder' AND published=1 AND id != 294743300 AND id != 294743301 AND id != 294743302 AND id != 294743303 AND id != 294743304 AND id != 294743305 AND id != 294743306 AND id != 294743307 AND id != 294743308 AND id != 294743309 AND id != 294743310 AND metakey != 'aacc' ORDER BY `ordering`

76 (!!!!! 1075.9830474854): SELECT show_live FROM jos_com_show_setting LIMIT 1

77 (158.07151794434): SELECT show_live FROM jos_com_show_setting LIMIT 1

78 (424.14665222168): SELECT show_live FROM jos_com_show_setting LIMIT 1

79 (47.206878662109): SELECT show_live FROM jos_com_show_setting LIMIT 1

80 (!!!!! 5251.8844604492): SELECT show_live FROM jos_com_show_setting LIMIT 1

81 (337.83912658691): SELECT show_live FROM jos_com_show_setting LIMIT 1

82 (!!!!! 1123.9051818848): SELECT show_live FROM jos_com_show_setting LIMIT 1

83 (!!!!! 2292.1562194824): SELECT show_live FROM jos_com_show_setting LIMIT 1

84 (959.87319946289): SELECT show_live FROM jos_com_show_setting LIMIT 1

85 (65.088272094727): SELECT show_live FROM jos_com_show_setting LIMIT 1

86 (49.114227294922): SELECT show_live FROM jos_com_show_setting LIMIT 1

87 (37.908554077148): SELECT show_live FROM jos_com_show_setting LIMIT 1

88 (41.007995605469): SELECT show_live FROM jos_com_show_setting LIMIT 1

89 (!!!!! 2539.8731231689): SELECT show_live FROM jos_com_show_setting LIMIT 1

90 (!!!!! 3445.1484680176): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

91 (138.99803161621): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

92 (696.18225097656): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.cat=10 AND dp.id=294794844 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

93 (!!!!! 8185.863494873): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

94 (180.00602722168): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

95 (771.04568481445): SELECT dp.*, ch.title as channel, exp.name as author_name, exp.specialization as author_specialization, exp.images as author_photo FROM jos_deeppockets as dp LEFT JOIN jos_experts as exp ON exp.id = dp.author LEFT JOIN jos_deeppockets as ch ON dp.fid = ch.id WHERE 1=1 AND dp.id=294794844 AND (dp.type='deeppockets_item' OR dp.type='deeppockets_item_link') AND dp.published='1' LIMIT 1

96 (870.94306945801): SELECT dp.name, dp.id, dp2.name as channel, ex.name as author_name, ex.specialization, ex.images FROM jos_deeppockets as dp LEFT JOIN jos_experts as ex ON ex.id = dp.author LEFT JOIN jos_deeppockets as dp2 ON dp2.id = dp.fid WHERE dp.author != 0 AND dp.cat = 10 AND dp.published = 1 AND ( (dp.fid = 294743300) OR (dp.fid = 294743301) OR (dp.fid = 294743302) OR (dp.fid = 294743303) OR (dp.fid = 294743304) OR (dp.fid = 294743305) OR (dp.fid = 294743306) OR (dp.fid = 294743307) OR (dp.fid = 294743308) OR (dp.fid = 294743309) OR (dp.fid = 294743310) ) ORDER BY RAND() LIMIT 1

97 (682.11555480957): SELECT dp.name, dp.id, dp2.name as channel, ex.name as author_name, ex.specialization, ex.images FROM jos_deeppockets as dp LEFT JOIN jos_experts as ex ON ex.id = dp.author LEFT JOIN jos_deeppockets as dp2 ON dp2.id = dp.fid WHERE dp.author != 0 AND dp.cat = 10 AND dp.published = 1 AND ( (dp.fid = 294743300) OR (dp.fid = 294743301) OR (dp.fid = 294743302) OR (dp.fid = 294743303) OR (dp.fid = 294743304) OR (dp.fid = 294743305) OR (dp.fid = 294743306) OR (dp.fid = 294743307) OR (dp.fid = 294743308) OR (dp.fid = 294743309) OR (dp.fid = 294743310) ) ORDER BY RAND() LIMIT 1

98 (344.99168395996): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

99 (91.791152954102): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

100 (93.936920166016): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

101 (53.882598876953): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

102 (78.916549682617): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

103 (63.180923461914): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

104 (80.82389831543): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

105 (51.021575927734): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

106 (617.02728271484): SELECT fid FROM jos_deeppockets WHERE cat=10 AND id=294794844 AND type='deeppockets_item' AND published='1' union SELECT fid FROM jos_deeppockets_archive WHERE cat=10 AND id=294794844 AND type='deeppockets_item' AND published='1' LIMIT 1

107 (!!!!! 1503021.0018158): ( SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.video != '' AND dp.video_source != '' AND dp.cat = 10 AND dp.published = 1 AND dp.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) UNION ( SELECT dpa.id, dpa.name, dpa.title, dpa.video, dpa.video_source, dpa.created FROM jos_deeppockets_archive AS dpa WHERE dpa.video != '' AND dpa.video_source != '' AND dpa.cat = 10 AND dpa.published = 1 AND dpa.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) ORDER BY created DESC LIMIT 3

108 (417.94776916504): ( SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.video != '' AND dp.video_source != '' AND dp.cat = 10 AND dp.published = 1 AND dp.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) UNION ( SELECT dpa.id, dpa.name, dpa.title, dpa.video, dpa.video_source, dpa.created FROM jos_deeppockets_archive AS dpa WHERE dpa.video != '' AND dpa.video_source != '' AND dpa.cat = 10 AND dpa.published = 1 AND dpa.type != 'deeppockets_item_link' ORDER BY created DESC LIMIT 3 ) ORDER BY created DESC LIMIT 3

109 (!!!!! 1478.910446167): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800513 LIMIT 1

110 (116.82510375977): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800513 LIMIT 1

111 (273.9429473877): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800359 LIMIT 1

112 (77.009201049805): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800359 LIMIT 1

113 (216.96090698242): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800361 LIMIT 1

114 (53.167343139648): SELECT dp.id, dp.name, dp.title, dp.video, dp.video_source, dp.created FROM jos_deeppockets AS dp WHERE dp.id = 294800361 LIMIT 1

115 (!!!!! 3242.9695129395): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

116 (163.07830810547): SELECT name FROM jos_deeppockets WHERE id=216

117 (41.007995605469): SELECT name FROM jos_deeppockets WHERE id=216

118 (525.95138549805): SELECT *, DATE_FORMAT(publish_up,'%d %b %Y') AS date_publish_up, DATE_FORMAT(publish_down,'%d %b %Y') AS date_publish_down FROM jos_events WHERE state=1 AND publish_up > NOW() and extra_info REGEXP '((;)|(^))216((;)|($))' AND catid IN (0,110) ORDER BY publish_up ASC LIMIT 3

119 (469.20776367188): SELECT *, DATE_FORMAT(publish_up,'%d %b %Y') AS date_publish_up, DATE_FORMAT(publish_down,'%d %b %Y') AS date_publish_down FROM jos_events WHERE state=1 AND publish_up > NOW() and extra_info REGEXP '((;)|(^))216((;)|($))' AND catid IN (0,110) ORDER BY publish_up ASC LIMIT 3

120 (123.97766113281): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

121 (77.962875366211): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

122 (335.9317779541): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

123 (72.002410888672): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND (type='deeppockets_item' OR type='deeppockets_item_link') AND published='1' LIMIT 1

124 (72.002410888672): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

125 (43.153762817383): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

126 (!!!!! 1238.1076812744): SELECT jos_item.* FROM jos_item INNER JOIN jos_number ON jos_item.numberID=jos_number.id WHERE 1=1 AND (jos_item.imgMini<>'') AND jos_item.type='L' AND jos_item.numberID= ( SELECT jos_number.id FROM jos_number WHERE jos_number.journalID IN (10) and jos_number.id in (select distinct jos_number.id from jos_number join jos_item on jos_item.numberid=jos_number.id where jos_item.type='P') ORDER BY (CONVERT(SUBSTRING(issue,1,2),SIGNED) + (CONVERT(SUBSTRING(issue,3,2),SIGNED)*100)) DESC LIMIT 0,1 ) ORDER BY RAND() DESC LIMIT 6

127 (60.081481933594): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

128 (53.882598876953): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

129 (!!!!! 4097.9385375977): SELECT fid FROM jos_deeppockets WHERE cat=10 AND id=294794844 AND type='deeppockets_item' AND published='1' union SELECT fid FROM jos_deeppockets_archive WHERE cat=10 AND id=294794844 AND type='deeppockets_item' AND published='1' LIMIT 1

130 (81.062316894531): select distinct links.* from jos_textlinks links join jos_textlinks_placement placement on links.id=placement.link_id where journal_id=(10) and (channel_id=216 or channel_id is null)

131 (43.869018554688): select distinct links.* from jos_textlinks links join jos_textlinks_placement placement on links.id=placement.link_id where journal_id=(10) and (channel_id=216 or channel_id is null)

132 (39.100646972656): SELECT livesite FROM jos_dp_categories WHERE id=10 AND published='1' LIMIT 1

133 (!!!!! 3185.0337982178): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

134 (149.01161193848): SELECT * FROM jos_deeppockets WHERE 1=1 AND id=294794844 AND published='1' union SELECT * FROM jos_deeppockets_archive WHERE 1=1 AND id=294794844 AND published='1' LIMIT 1

135 (!!!!! 1803.8749694824): select jos_twitters.link from jos_twitters where cat=10

136 (37.908554077148): select jos_facebook.link from jos_facebook where cat=10

137 (30.040740966797): select jos_google_plus.link from jos_google_plus where cat=10

138 (31.948089599609): select jos_linkedin.link from jos_linkedin where cat=10

139 (458.0020904541): update jos_bannersmanager_banner set impmade=impmade+1 where id in(14615,14202,14203)

140 (!!!!! 6845.9510803223): insert into jos_banners_delta values (14615,'2025-04-29 10:20:11','3.140.250.173','view'),(14202,'2025-04-29 10:20:11','3.140.250.173','view'),(14203,'2025-04-29 10:20:11','3.140.250.173','view')

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