04221nam 2201057z- 450 991055761780332120220321(CKB)5400000000045223(oapen)https://directory.doabooks.org/handle/20.500.12854/79618(oapen)doab79618(EXLCZ)99540000000004522320202203d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierThe Convergence of Human and Artificial Intelligence on Clinical Care - Part IBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online resource (188 p.)3-0365-3296-X 3-0365-3295-1 This edited book contains twelve studies, large and pilots, in five main categories: (i) adaptive imputation to increase the density of clinical data for improving downstream modeling; (ii) machine-learning-empowered diagnosis models; (iii) machine learning models for outcome prediction; (iv) innovative use of AI to improve our understanding of the public view; and (v) understanding of the attitude of providers in trusting insights from AI for complex cases. This collection is an excellent example of how technology can add value in healthcare settings and hints at some of the pressing challenges in the field. Artificial intelligence is gradually becoming a go-to technology in clinical care; therefore, it is important to work collaboratively and to shift from performance-driven outcomes to risk-sensitive model optimization, improved transparency, and better patient representation, to ensure more equitable healthcare for all.MedicinebicsscADHDalpha-2-adrenergic agonistsaneurysm surgeryartificial intelligenceartificial neural networkbariatric surgeryBayesian networkC. difficile infectioncardiac ultrasoundcerebrovascular disorderschronic myelomonocytic leukemia (CMML) and acute myeloid leukemia (AML) for acute monoblastic leukemia and acute monocytic leukemiaclinical decision support systemclipping timecluster analysiscomorbiditycomplex diseasesconcordance between hematopathologistsCOVID-19deep learningdigital imagingechocardiographyEHRelectronic health recordelectronic health recordsexplainable machine learninghealth-related quality of lifehealthcarehuman factorsimproving diagnosis accuracyimputationinflammatory bowel diseaseinterpretable machine learningischemic strokelaboratory measureslarynx cancermachine learningmachine learning-enabled decision support systemmechanical ventilationmedical informaticsmonocytesnon-stimulantsosteoarthritisoutcome predictionpassive adherencepharmacotherapyportable ultrasoundpromonocytes and monoblastsrecurrent strokerespiratory failurerisk factorsSARS-CoV-2septic shocksocial mediastimulantsstroketemporary artery occlusiontrustTwittervoice changevoice pathology classificationMedicineAbedi Vidaedt1303484Abedi VidaothBOOK9910557617803321The Convergence of Human and Artificial Intelligence on Clinical Care - Part I3027105UNINA