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Chinese AI innovation identifies oesophageal cancer lesions at double rate of doctors' assessment by eye: paper

Algorithm that highlights lesions on the gullet for doctors during an endoscopy is now used in hundreds of hospitals in China. ....

Hong Kong , Mao Xinli , Li Shaowei , Taizhou Hospital Affiliated To Wenzhou Medical University , Renmin Hospital Of Wuhan University , Taizhou Hospital Affiliated , Wenzhou Medical University , Renmin Hospital , Wuhan University , Wenling First People , Central Asia , Lesion Detection , China Cancer Research , China Medical Research , Hina Ai Medicine , Hina Ai Cancer Detection , I Assisted Endoscopies , Cancer Screening , Deep Learning Technology , Mao Xinli , Esophageal Cancer , Science Translational Medicine , Taizhou Hospital , Wenzhou Medical University , Zhejiang University School Of Medicine ,

Transpara Surpasses 5 Million Mammograms and 1 Million Tomosynthesis Studies Analyzed to Support Radiologists Reading Mammograms

ScreenPoint Medical has announced that its Transpara breast AI has surpassed 5 million mammograms, including over 1 million Tomosynthesis (3D) exams analyzed in support of radiologists reading mammography exams. The company will showcase its Transpara results at the upcoming 109th Annual Radiological Society of North America (RSNA) meeting, RSNA 2023, November 26-30, at McCormick Place in Chicago, IL. ....

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ScreenPoint Medical Showcases Global Momentum for Transpara(R) Breast AI at EUSOBI

ScreenPoint Medical Showcases Global Momentum for Transpara(R) Breast AI at EUSOBI
finanznachrichten.de - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from finanznachrichten.de Daily Mail and Mail on Sunday newspapers.

Baden Wüberg , San Francisco , United States , Mark Koeniguer , European Society Of Breast Imaging , University Of California , Most Clinically Validated Breast , Peer Reviewed Studies , Better Workflow , Increase Screening Capacity , Point Medical , European Society , Breast Imaging , Annual Scientific Meeting , Lancet Oncology , Clinical Oncology , Mayo Clinic , Artificial Intelligence System , Volumetric Density , Risk Prediction , Advanced Breast Cancer , Breast Cancer Risk , Lesion Detection , Mammographic Texture , Breastscreen Norway , European Radiology ,

Combined AI model may improve the accuracy of breast cancer risk assessment

Combining artificial intelligence (AI) systems for short- and long-term breast cancer risk results in an improved cancer risk assessment, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA). ....

United States , Mads Nielsen , Elsebeth Lynge , Nico Karssemeijer , Ilse Vejborg , Andreasd Lauritzen , Megan Craig , Martin Lillholm , Department Of Computer Science , Radiological Society Of North America , University Of Copenhagen , Radiological Society , North America , Study Author , Computer Science , Capital Region , Breast Cancer Risk , Lesion Detection , Mammographic Texture , Breast Cancer , Artificial Intelligence , Cancer Diagnosis , Deep Learning , Health Care ,

Using AI to Improve Breast Cancer Risk Assessment

According to a new study published in Radiology, AI systems for short- and long-term breast cancer risk could result in an improved cancer risk assessment. ....

Andreasd Lauritzen , University Of Copenhagen , Department Of Computer Science , Study Author , Computer Science , Assessment Better , Long Term Cancer , Automation Industry Focus , Capital Region , Assessing Breast Cancer Risk , Lesion Detection ,