Andreas Östling

ORCID: 0000-0003-2281-1341
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Research Areas
  • MRI in cancer diagnosis
  • Pediatric Urology and Nephrology Studies
  • Renal and Vascular Pathologies
  • Artificial Intelligence in Law
  • Law, AI, and Intellectual Property
  • Machine Learning in Healthcare
  • Financial Markets and Investment Strategies
  • Corporate Finance and Governance
  • Clinical Reasoning and Diagnostic Skills
  • Sepsis Diagnosis and Treatment
  • Design Education and Practice
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Law, Economics, and Judicial Systems
  • BIM and Construction Integration
  • AI in cancer detection
  • Comparative and International Law Studies
  • Medical Image Segmentation Techniques
  • Genetic and phenotypic traits in livestock
  • Construction Project Management and Performance
  • Auditing, Earnings Management, Governance
  • Media Influence and Politics
  • Advanced X-ray and CT Imaging

Uppsala University
2020-2024

Background Despite decades of research, sepsis remains a leading cause mortality and morbidity in intensive care units worldwide. The key to effective management patient outcome is early detection, for which no prospectively validated machine learning prediction algorithm currently available clinical use Europe. Objective We aimed develop high-performance based on routinely collected unit data, designed be implemented European units. Methods was developed using convolutional neural networks,...

10.2196/28000 article EN cc-by JMIR Formative Research 2021-08-01

Abstract The UK Biobank is collecting extensive data on health-related characteristics of over half a million volunteers. biological samples blood and urine can provide valuable insight kidney function, with important links to cardiovascular metabolic health. Further information anatomy could be obtained by medical imaging. In contrast the brain, heart, liver, pancreas, no dedicated Magnetic Resonance Imaging (MRI) planned for kidneys. An image-based assessment nonetheless feasible in...

10.1038/s41598-020-77981-4 article EN cc-by Scientific Reports 2020-12-01

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10.2139/ssrn.4763429 article EN SSRN Electronic Journal 2024-01-01

Based on 35,344 news articles published in the Financial Times that cover 40 companies have been included Dow Jones Industrial Average, we find a negative media sentiment form of language tone is priced factor five nine asset-pricing models aim to explain cross-section stock returns. In particular, market model augmented with all three samples—the 2005-09 subsample, 2010-18 and 2005-18 full sample—and Fama-French three- five-factor subsample. addition, factor-spanning regressions as...

10.1016/j.qref.2024.02.008 article EN cc-by The Quarterly Review of Economics and Finance 2024-03-02

We introduce the Cambridge Law Corpus (CLC), a dataset for legal AI research. It consists of over 250 000 court cases from UK. Most are 21st century, but corpus includes as old 16th century. This paper presents first release corpus, containing raw text and meta-data. Together with we provide annotations on case outcomes 638 cases, done by experts. Using our annotated data, have trained evaluated outcome extraction GPT-3, GPT-4 RoBERTa models to benchmarks. include an extensive ethical...

10.48550/arxiv.2309.12269 preprint EN cc-by arXiv (Cornell University) 2023-01-01

<sec> <title>BACKGROUND</title> Despite decades of research, sepsis remains a leading cause mortality and morbidity in intensive care units worldwide. The key to effective management patient outcome is early detection, for which no prospectively validated machine learning prediction algorithm currently available clinical use Europe. </sec> <title>OBJECTIVE</title> We aimed develop high-performance based on routinely collected unit data, designed be implemented European units....

10.2196/preprints.28000 preprint EN 2021-02-17

The UK Biobank is collecting extensive data on health-related characteristics of over half a million volunteers. biological samples blood and urine can provide valuable insight kidney function, with important links to cardiovascular metabolic health. Further information anatomy could be obtained by medical imaging. In contrast the brain, heart, liver, pancreas, no dedicated Magnetic Resonance Imaging (MRI) planned for kidneys. An image-based assessment nonetheless feasible in neck-to-knee...

10.48550/arxiv.2006.06996 preprint EN other-oa arXiv (Cornell University) 2020-01-01
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