Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations.

Autor: Alderman JE; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK; University of Birmingham, Birmingham, UK., Palmer J; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK; University of Birmingham, Birmingham, UK., Laws E; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK; University of Birmingham, Birmingham, UK., McCradden MD; Department of Bioethics, The Hospital for Sick Children, Toronto, ON, Canada; Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada., Ordish J; University of Birmingham, Birmingham, UK; Roche Diagnostics, Rotkreuz, Switzerland; Hughes Hall, Cambridge, UK., Ghassemi M; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Pfohl SR; Google Research, Mountain View, CA, USA., Rostamzadeh N; Google Research, Montreal, Quebec, USA., Cole-Lewis H; Google, Mountain View, CA, USA., Glocker B; Department of Computing, Imperial College London, London, UK., Calvert M; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK; Birmingham Health Partners Centre for Regulatory Science and Innovation, Birmingham, UK; NIHR Applied Research Collaboration West Midlands, Birmingham, UK; NIHR Blood and Transplant Research Unit in Precision Transplant and Cellular Therapeutics, Birmingham, UK., Pollard TJ; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA., Gill J; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK., Gath J; Independent Cancer Patients' Voice, London, UK; Patient and Public Contributor, Sheffield, UK., Adebajo A; NIHR Sheffield Biomedical Research Centre, Sheffield, UK., Beng J; School of Medicine and Population Health, University of Sheffield, Sheffield, UK., Leung CH; patient and public contributor, Munich, Germany., Kuku S; Institute of Women's Health, University College London, London, UK., Farmer LA; Tethyan Consulting, Canberra, Australia., Matin RN; Oxford University Hospitals NHS Foundation Trust, Oxford, UK; University of Oxford, Oxford, UK., Mateen BA; Institute of Health Informatics, University College London, London, UK; PATH, Seattle, WA, USA; Wellcome Trust, London, UK., McKay F; Population Health Sciences Institute, Newcastle University, Newcastle, UK; Health Determinants Research Collaboration, Gateshead Council, Gateshead, UK., Heller K; Google Research, Mountain View, CA, USA., Karthikesalingam A; Google, London, UK., Treanor D; Leeds Teaching Hospitals NHS Trust, Leeds, UK; University of Leeds, Leeds, UK; Department of Clinical Pathology and Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden., Mackintosh M; Genomics England, London, UK; The Alan Turing Institute, London, UK., Oakden-Rayner L; Australian Institute for Machine Learning, University of Adelaide, Adelaide, SA, Australia., Pearson R; Medicines and Healthcare products Regulatory Agency, London, UK., Manrai AK; Department of Biomedical Informatics, Harvard Medical School, Harvard University, Cambridge, MA, USA., Myles P; Medicines and Healthcare products Regulatory Agency, London, UK., Kumuthini J; African Biobanks and Longitudinal Epidemiologic Ecosystem, Ibadan, Nigeria., Kapacee Z; Health Research Authority, London, UK., Sebire NJ; NIHR Great Ormond Street Hospital Biomedical Research Centre at UCL, University College London, London, UK., Nazer LH; King Hussein Cancer Centre, Amman, Jordan., Seah J; Harrison.ai, Sydney, NSW, Australia; Alfred Health, Melbourne, VIC, Australia; Monash University, Melbourne, VIC, Australia., Akbari A; Population Data Science, Swansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Wales, UK., Berman L; All of Us Research Program, National Institutes of Health, Office of the Director, Bethesda, MD, USA., Gichoya JW; Department of Radiology, Emory University School of Medicine, Atlanta, GA, USA., Righetto L; Nature Research, London, UK., Samuel D; The Lancet Digital Health, The Lancet, London, UK., Wasswa W; Department of Biomedical Sciences and Engineering, Mbarara University of Science and Technology, Mbarara, Uganda., Charalambides M; Dermatopharmacology, Faculty of Medicine, Southampton, UK; Department of Dermatology, University Hospitals Southampton NHS Foundation Trust, Southampton, UK., Arora A; School of Clinical Medicine, Cambridge, UK; University of Cambridge, Cambridge, UK., Pujari S; WHO, Geneva, Switzerland., Summers C; Victor Phillip Dahdaleh Heart and Lung Research Institute, Cambridge, UK., Sapey E; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK; Centre for Patient Reported Outcomes Research, School of Health Sciences, College of Medical and Dental Sciences, Birmingham, UK; University of Birmingham, Birmingham, UK; PIONEER, HDR UK Health Data Hub in Acute Care, Birmingham, UK; NIHR Midlands Applied Research Collaboration, Acute Care Theme, West Midlands, UK; NIHR Midlands Patient Safety Collaboration, Birmingham, UK., Wilkinson S; University of Southampton, Southampton, UK; National Institute for Health and Care Research, Southampton, UK., Thakker V; British Standards Institute, London, UK., Denniston A; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK; Birmingham Health Partners Centre for Regulatory Science and Innovation, Birmingham, UK; Centre for Patient Reported Outcomes Research, School of Health Sciences, College of Medical and Dental Sciences, Birmingham, UK; University of Birmingham, Birmingham, UK; NIHR Biomedical Research Centre, Moorfields Eye Hospital and University College London, London, UK., Liu X; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK; Centre for Patient Reported Outcomes Research, School of Health Sciences, College of Medical and Dental Sciences, Birmingham, UK; University of Birmingham, Birmingham, UK. Electronic address: x.liu.8@bham.ac.uk.

Publikováno v: The Lancet. Digital health [Lancet Digit Health] 2025 Jan; Vol. 7 (1), pp. e64-e88. Date of Electronic Publication: 2024 Dec 18.

Severity of acute phase reaction in children receiving the first dose of zoledronic acid and the impact of the underlying condition: a cross-sectional study.

Autor: Nayak S; Department of Paediatric Endocrinology, Royal Manchester Children's Hospital, Manchester, UK.; Paediatrics, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India., Rayner L; Department of Paediatric Endocrinology, Royal Manchester Children's Hospital, Manchester, UK., Mughal Z; Department of Paediatric Endocrinology, Royal Manchester Children's Hospital, Manchester, UK.; Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK., McKinney G; Department of Paediatric Endocrinology, Royal Hospital for Children, Glasgow, UK., Mason A; Department of Paediatric Endocrinology, Royal Hospital for Children, Glasgow, UK., Wong SC; Department of Paediatric Endocrinology, Royal Hospital for Children, Glasgow, UK., Padidela R; Department of Paediatric Endocrinology, Royal Manchester Children's Hospital, Manchester, UK.; Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK., Chinoy A; Department of Paediatric Endocrinology, Royal Manchester Children's Hospital, Manchester, UK amish.chinoy@mft.nhs.uk.; Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.

Publikováno v: Archives of disease in childhood [Arch Dis Child] 2024 Sep 25; Vol. 109 (10), pp. 849-853. Date of Electronic Publication: 2024 Sep 25.

Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA.

Autor: Brady AP; University College Cork, Cork, Ireland. Electronic address: adrianbrady@me.com., Allen B; Department of Radiology, Grandview Medical Center, Birmingham, Alabama; American College of Radiology Data Science Institute, Reston, Virginia., Chong J; Department of Medical Imaging, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada., Kotter E; Department of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany., Kottler N; Radiology Partners, El Segundo, California; Stanford Center for Artificial Intelligence in Medicine & Imaging, Palo Alto, California., Mongan J; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California., Oakden-Rayner L; Australian Institute for Machine Learning, University of Adelaide, Adelaide, Australia., Pinto Dos Santos D; Department of Radiology, University Hospital of Cologne, Cologne, Germany; Department of Radiology, University Hospital of Frankfurt, Frankfurt, Germany., Tang A; Department of Radiology, Radiation Oncology, and Nuclear Medicine, Université de Montréal, Montréal, Québec, Canada., Wald C; Department of Radiology, Lahey Hospital & Medical Center, Burlington, Massachusetts; Tufts University Medical School, Boston, Massachusetts; Commision on Informatics, and Member, Board of Chancellors, American College of Radiology, Virginia., Slavotinek J; South Australia Medical Imaging, Flinders Medical Centre Adelaide, Adelaide, Australia; College of Medicine and Public Health, Flinders University, Adelaide, Australia.

Publikováno v: Journal of the American College of Radiology : JACR [J Am Coll Radiol] 2024 Aug; Vol. 21 (8), pp. 1292-1310. Date of Electronic Publication: 2024 Jan 23.

Author Correction: Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines.

Autor: Martindale APL; Brighton and Sussex Medical School, Brighton, UK., Llewellyn CD; Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK., de Visser RO; Department of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK., Ng B; Birmingham and Midland Eye Centre, Sandwell and West Birmingham NHS Trust, Birmingham, UK.; Christ Church, University of Oxford, Oxford, UK., Ngai V; University College London Medical School, London, UK., Kale AU; Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK., di Ruffano LF; York Health Economics Consortium, University of York, Birmingham, UK., Golub RM; Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA., Collins GS; Centre for Statistics in Medicine//UK EQUATOR Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK., Moher D; Centre for Journalology, Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottowa, Canada., McCradden MD; Department of Bioethics, The Hospital for Sick Children, Toronto, Canada.; Genetics & Genome Biology Research Program, Peter Gilgan Centre for Research & Learning, Toronto, Canada.; Division of Clinical and Public Health, Dalla Lana School of Public Health, Toronto, Canada., Oakden-Rayner L; Australian Institute for Machine Learning, University of Adelaide, Adelaide, Australia., Rivera SC; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK.; Centre for Patient Reported Outcomes Research (CPROR), Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK., Calvert M; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK.; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK.; Centre for Patient Reported Outcomes Research (CPROR), Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.; NIHR Applied Research Collaboration (ARC) West Midlands, University of Birmingham, Birmingham, UK.; NIHR Blood and Transplant Research Unit (BTRU) in Precision Transplant and Cellular Therapeutics, University of Birmingham, Birmingham, UK., Kelly CJ; Google Health, London, UK., Lee CS; University of Washington, Seattle, WA, USA., Yau C; Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK.; Health Data Research UK, London, UK., Chan AW; Department of Medicine, Women's College Hospital. University of Toronto, Toronto, Canada., Keane PA; NIHR Biomedical Research Centre at Moorfields, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK., Beam AL; Department of Epidemiology, Harvard. T.H. Chan School of Public Health, Boston, MA, USA.; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Denniston AK; Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.; National Institute for Health and Care Research (NIHR) Birmingham Biomedical Research Centre, University of Birmingham, Birmingham, UK.; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK.; NIHR Biomedical Research Centre at Moorfields, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK., Liu X; Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK. xliuphone@gmail.com.; University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK. xliuphone@gmail.com.; Birmingham Health Partners Centre for Regulatory Science and Innovation, University of Birmingham, Birmingham, UK. xliuphone@gmail.com.

Publikováno v: Nature communications [Nat Commun] 2024 Jul 29; Vol. 15 (1), pp. 6376. Date of Electronic Publication: 2024 Jul 29.

Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography.

Autor: Condon JJJ; From the Australian Institute for Machine Learning (J.J.J.C., V.T., L.O.R., L.J.P.) and School of Public Health (J.J.J.C., V.T., K.A.H., L.O.R., L.J.P.), University of Adelaide, N Terrace, Adelaide, South Australia 5005, Australia; and BreastScreen SA, Adelaide, South Australia, Australia (M.R., A.S.H.)., Trinh V; From the Australian Institute for Machine Learning (J.J.J.C., V.T., L.O.R., L.J.P.) and School of Public Health (J.J.J.C., V.T., K.A.H., L.O.R., L.J.P.), University of Adelaide, N Terrace, Adelaide, South Australia 5005, Australia; and BreastScreen SA, Adelaide, South Australia, Australia (M.R., A.S.H.)., Hall KA; From the Australian Institute for Machine Learning (J.J.J.C., V.T., L.O.R., L.J.P.) and School of Public Health (J.J.J.C., V.T., K.A.H., L.O.R., L.J.P.), University of Adelaide, N Terrace, Adelaide, South Australia 5005, Australia; and BreastScreen SA, Adelaide, South Australia, Australia (M.R., A.S.H.)., Reintals M; From the Australian Institute for Machine Learning (J.J.J.C., V.T., L.O.R., L.J.P.) and School of Public Health (J.J.J.C., V.T., K.A.H., L.O.R., L.J.P.), University of Adelaide, N Terrace, Adelaide, South Australia 5005, Australia; and BreastScreen SA, Adelaide, South Australia, Australia (M.R., A.S.H.)., Holmes AS; From the Australian Institute for Machine Learning (J.J.J.C., V.T., L.O.R., L.J.P.) and School of Public Health (J.J.J.C., V.T., K.A.H., L.O.R., L.J.P.), University of Adelaide, N Terrace, Adelaide, South Australia 5005, Australia; and BreastScreen SA, Adelaide, South Australia, Australia (M.R., A.S.H.)., Oakden-Rayner L; From the Australian Institute for Machine Learning (J.J.J.C., V.T., L.O.R., L.J.P.) and School of Public Health (J.J.J.C., V.T., K.A.H., L.O.R., L.J.P.), University of Adelaide, N Terrace, Adelaide, South Australia 5005, Australia; and BreastScreen SA, Adelaide, South Australia, Australia (M.R., A.S.H.)., Palmer LJ; From the Australian Institute for Machine Learning (J.J.J.C., V.T., L.O.R., L.J.P.) and School of Public Health (J.J.J.C., V.T., K.A.H., L.O.R., L.J.P.), University of Adelaide, N Terrace, Adelaide, South Australia 5005, Australia; and BreastScreen SA, Adelaide, South Australia, Australia (M.R., A.S.H.).

Publikováno v: Radiology. Artificial intelligence [Radiol Artif Intell] 2024 Jul; Vol. 6 (4), pp. e230383.