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Background: Despite substantial progress in AI research for healthcare, translating research achievements to AI systems in clinical settings is challenging and, in many cases, unsatisfactory. As a result, many AI investments have stalled at the prototype level, never reaching clinical settings.
Objective: To improve the chances of future AI implementation projects succeeding, we analyzed the experiences of clinical AI system implementers to better understand the challenges and success factors in their implementations.
Methods: Thirty-seven implementers of clinical AI from European and North and South American countries were interviewed. Semi-structured interviews were transcribed and analyzed qualitatively with the framework method, identifying the success factors and the reasons for challenges as well as documenting proposals from implementers to improve AI adoption in clinical settings.
Results: We gathered the implementers' requirements for facilitating AI adoption in the clinical setting. The main findings include 1) the lesser importance of AI explainability in favor of proper clinical validation studies, 2) the need to actively involve clinical practitioners, and not only clinical researchers, in the inception of AI research projects, 3) the need for better information structures and processes to manage data access and the ethical approval of AI projects, 4) the need for better support for regulatory compliance and avoidance of duplications in data management approval bodies, 5) the need to increase both clinicians' and citizens' literacy as respects the benefits and limitations of AI, and 6) the need for better funding schemes to support the implementation, embedding, and validation of AI in the clinical workflow, beyond pilots.
Conclusion: Participants in the interviews are positive about the future of AI in clinical settings. At the same time, they proposenumerous measures to transfer research advancesinto implementations that will benefit healthcare personnel. Transferring AI research into benefits for healthcare workers and patients requires adjustments in regulations, data access procedures, education, funding schemes, and validation of AI systems.
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http://dx.doi.org/10.1016/j.ijmedinf.2024.105377 | DOI Listing |
Expert Rev Clin Pharmacol
December 2024
Department of Dermatology, Oregon Health and Science University, Portland, OR, USA.
Introduction: Pyoderma gangrenosum (PG) is a rare neutrophilic dermatosis characterized by rapidly enlarging, painful ulcers with undermined borders. The management of PG is challenging due to the lack of standardized evidence-based treatments.
Areas Covered: This review examines recent efforts to establish standardized outcomes for clinical trials to facilitate the drug development process for PG.
Pharmacol Res Perspect
February 2025
Department of Clinical Pharmacology, Wroclaw Medical University, Wroclaw, Poland.
The enzyme N-acetyltransferase 2 (NAT2) plays an important role in metabolism and detoxification of xenobiotics, including carcinogens and medications. We aimed to assess the contribution of the NAT2 polymorphism to susceptibility to inflammatory bowel disease (IBD) in the Polish population. The study involved 101 IBD patients and 100 healthy controls.
View Article and Find Full Text PDFMol Oncol
December 2024
Amsterdam UMC, Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, University of Amsterdam, The Netherlands.
Colorectal cancer (CRC) is a significant contributor to cancer-related mortality, emphasizing the need for advanced biomarkers to guide treatment. As part of an international consortium, we previously categorized CRCs into four consensus molecular subtypes (CMS1-CMS4), showing promise for outcome prediction. To facilitate clinical integration of CMS classification in settings where formalin-fixed paraffin-embedded (FFPE) samples are routinely used, we developed NanoCMSer, a NanoString-based CMS classifier using 55 genes.
View Article and Find Full Text PDFLiver Int
January 2025
Depatrtment of Medicine, Karsh Division of Gastroenterology, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Background: The increasing prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), parallels the rise in sedentary lifestyles. MASLD is the most common form of steatotic liver disease (SLD), which represents the umbrella beneath which the vast majority of chronic liver diseases fall, including alcohol-related liver disease and their overlap. These conditions are the leading contributors to chronic liver disease, significantly impacting global morbidity and mortality.
View Article and Find Full Text PDFExpert Opin Drug Saf
December 2024
Medical Genetics 8812, University of Alberta, Edmonton, AB, Canada.
Introduction: Duchenne muscular dystrophy (DMD) is a severe X-linked disorder characterized by progressive muscle weakness and eventual death due to cardiomyopathy or respiratory complications. Currently, there is no cure for DMD, with standard treatments primarily focusing on symptom management. Using immunosuppressive measures and optimized vector designs allow for gene therapies to better address the underlying genetic cause of the disease.
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