LEADER 01050nam a2200241 i 4500 001 991003478159707536 008 080318s2007 it 00 ita d 020 $a9788823831414 035 $ab13700777-39ule_inst 040 $aSet. Economia - SAGA$bita 082 04$a657.0218 245 13$aIl primo bilancio redatto con gli IAS/IFRS :$baspetti normativi, contabili, fiscali, informativi e di controllo /$cPiero Pisoni ... [et al.] 260 $aMilano :$bEGEA,$c2007 300 $axii, 330 p. ;$c25 cm 440 0$aImpresa & professionisti.$pAmministrazione e controllo 650 04$aBilancio$xStandardizzazione 700 1 $aPisoni, Piero$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0106644 907 $a.b13700777$b28-01-14$c18-03-08 912 $a991003478159707536 945 $aLE025 ECO 657 PIS01.01$g1$i2025000216822$lle025$nProf. Dell'Atti$o-$pE30.00$q-$rl$s- $t0$u14$v4$w14$x0$y.i14736299$z28-04-08 996 $aPrimo bilancio redatto con gli IAS$91464299 997 $aUNISALENTO 998 $ale025$b18-03-08$cm$da $e-$fita$git $h3$i0 LEADER 05166nam 2200613 a 450 001 9910984621103321 005 20221129160846.0 010 $a9781975197957 010 $a197519795X 010 $a9781975197940 010 $a1975197941 035 $a(CKB)5720000000120557 035 $a(UtOrBLW)22882503 035 $a(UtOrBLW)9781975197933 035 $a(MiAaPQ)EBC31246316 035 $a(Au-PeEL)EBL31246316 035 $a(OCoLC)1428905305 035 $a(EXLCZ)995720000000120557 100 $a20221129d2024 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial intelligence for improved patient outcomes $eprinciples for moving forward with rigorous science /$fDaniel W. Byrne 205 $a1st ed. 210 $aPhiladelphia $cWolters Kluwer$d2024 215 $a1 online resource (272 p.) $ccol. ill 311 08$a9781975197933 311 08$a1975197933 320 $aIncludes bibliographical references and index. 327 $aOverview : How Artificial Intelligence Will Improve Health -- Randomization : The "Secret Sauce" -- Evaluation : The Facts Matter. Pseudo-Innovation vs Real Innovation -- Synergy : Building a Successful Clinician-Computer Collaboration -- Fairness : Addressing the Ethical, Regulatory, and Privacy Issues -- Modeling : An Overview of Predictive Modeling, Neural Networks, and Deep Learning -- EHRs : Exporting, Cleaning, Managing Datasets, and Integrating Models into the Electronic Health Record -- Resistance : Understanding and Overcoming the Resistance to AI, Randomization, and Change -- Execution : Increasing the Odds of Future Success -- Integration : Building a Learning Health Care System With Pragmatic AI Trials -- Streamlining : Reducing Waste and Lowering Costs in Health Care -- Complications : Predicting and Preventing Hospital Complications -- Prevention : Identifying Diseases With Predictive Models -- Precision Medicine : AI to Improve Health Screenings and Treatments -- Drugs and Devices : Using AI to Improve Pharmaceutical and Medical Device Development and Applications -- Medical Literature : AI and Information Overload -- Imaging : Medical Imaging and Strategies for Assessing Patient Impact -- Pandemics : Using AI Tools to Improve Health Outcomes in a Pandemic -- Careers : How to Build a Career Around AI in Medicine by Turning This Playbook Into a Reality. 330 $a"Artificial Intelligence for Improved Patient Outcomes provides new, relevant, and practical information on what AI can do in healthcare and how to assess whether AI is improving health outcomes. With clear insights and a balanced approach, this innovative book offers a one-stop guide on how to design and lead pragmatic real-world AI studies that yield rigorous scientific evidence-all in a manner that is safe and ethical. Daniel Byrne, Director of Artificial Intelligence Research at AVAIL (the Advanced Vanderbilt Artificial Intelligence Laboratory), and author of landmark pragmatic studies published in leading medical journals, shares four decades of experience as a biostatistician and AI researcher. Building on his first book, Publishing Your Medical Research, the author gives the reader the competitive advantage in creating reproducible AI research that will be accepted in prestigious high-impact medical journals. Provides easy-to-understand explanations of the key concepts in using and evaluating AI in medicine. Offers practical, actionable guidance on the mechanics and implementation of AI applications in medicine. Shares career guidance on a successful future in AI in medicine. Teaches the skills to evaluate AI tools and avoid being misled by the hype. For a wide audience of healthcare professionals impacted by Artificial Intelligence in medicine, including physician-scientists, AI developers, entrepreneurs, and healthcare leaders who need to evaluate AI applications designed to improve safety, quality, and value for their institutions. Enrich Your eBook Reading Experience Read directly on your preferred device(s), such as computer, tablet, or smartphone. Easily convert to audiobook, powering your content with natural language text-to-speech. "--$cProvided by publisher. 606 $aArtificial Intelligence 606 $aPrecision Medicine 606 $aOutcome Assessment, Health Care 606 $aMEDICAL / Evidence-Based Medicine$2bisacsh 606 $aMEDICAL / Preventive Medicine$2bisacsh 606 $aArtificial intelligence$xMedical applications 615 12$aArtificial Intelligence 615 22$aPrecision Medicine 615 22$aOutcome Assessment, Health Care 615 7$aMEDICAL / Evidence-Based Medicine 615 7$aMEDICAL / Preventive Medicine 615 0$aArtificial intelligence$xMedical applications. 676 $a610.285/63 686 $aMED112000$aMED076000$2bisacsh 700 $aByrne$b Daniel W$01659726 801 0$bDNLM/DLC 801 1$bDLC 906 $aBOOK 912 $a9910984621103321 996 $aArtificial intelligence for improved patient outcomes$94332752 997 $aUNINA