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Artificial intelligence as a growth engine for health care startups : emerging business models

Garbuio, Massimo; Lin, Nidthida - In: California management review 61 (2019) 2, pp. 59-83

Persistent link: https://www.econbiz.de/10012175426

AI Adoption in Healthcare Industry 4.0 : Innovative Business Models and Employability Implications

Jain, Mahima; Dhir, Sanjay; Sinha, Shuchi - 2025

of ways to the different stakeholders of healthcare sector. It helps medical professionals to understand the impact of …Chapter 1: Artificial Intelligence and Healthcare Sector -- Chapter 2. Adoption of Artificial Intelligence in … Healthcare Industry 4.0 -- Chapter 3. Effect of AI on Employability Implications for Healthcare Industry 4.0 -- Chapter 4. Effect …

Persistent link: https://www.econbiz.de/10015394198

DEANN : a healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status

Misiunas, Nicholas; Oztekin, Asil; Chen, Yao; Chandra, … - In: Omega : the international journal of management science 58 (2016), pp. 46-54

Persistent link: https://www.econbiz.de/10011416986

An Alzheimer's disease classification model using transfer learning Densenet with embedded healthcare decision support system

Saleh, Ahmad Waleed; Gupta, Gaurav; Khan, Surbhi Bhatia; … - In: Decision analytics journal 9 (2023), pp. 1-20

recommendation. Moreover, incorporating a healthcare decision support system further aid in providing valuable insights for AD …

Persistent link: https://www.econbiz.de/10014533168

A service analytic approach to studying patient no-shows

Nasir, Murtaza; Summerfield, Nichalin; Dag, Ali; … - In: Service business 14 (2020) 2, pp. 287-313

Persistent link: https://www.econbiz.de/10012304248

Blockchain-based deep learning in IoT, healthcare and cryptocurrency price prediction : a comprehensive review

Arora, Shefali; Mittal, Ruchi; Shrivastava, Avinash Kumar; … - In: International journal of quality & reliability management 41 (2024) 8, pp. 2199-2225

Persistent link: https://www.econbiz.de/10015057328

An innovative patient clustering method using data envelopment Analysis-Discriminant analysis and artificial neural networks : a case study in healthcare systems

Yousefi, Saeed; Saen, Reza Farzipoor; Shabanpour, Hadi; … - In: Socio-economic planning sciences : the international … 95 (2024), pp. 1-11

Persistent link: https://www.econbiz.de/10015101830

Machine learning versus regression modelling in predicting individual healthcare costs from a representative sample of the nationwide claims database in France

Vimont, Alexandre; Leleu, Henri; Durand-Zaleski, Isabelle - In: The European journal of health economics 23 (2022) 2, pp. 211-223

Persistent link: https://www.econbiz.de/10013173559

A predictive analytics model for COVID-19 pandemic using artificial neural networks

Kuvvetli, Yusuf; Deveci, Muhammet; Paksoy, Turan; Garg, … - In: Decision analytics journal 1 (2021)

The COVID-19 pandemic spread rapidly around the world and is currently one of the most leading causes of death and heath disaster in the world. Turkey, like most of the countries, has been negatively affected by COVID-19. The aim of this study is to design a predictive model based on artificial...

Persistent link: https://www.econbiz.de/10013163050

The nexus of artificial intelligence, frugal innovation and business model innovation to nurture internationalization : a survey of SME's readiness

Saleem, Irfan; Al-Breiki, Najla Salim Said; Asad, Muzaffar - In: Journal of open innovation : technology, market, and … 10 (2024) 3, pp. 1-10

innovation, and business model innovation to achieve SMEs' internationalization objectives. A survey is conducted among SMEs … Smart PLS 4.1 software. The study explored the mediating role of business model innovation and artificial intelligence …'s moderating role in promoting business model innovation and SMEs' internationalization, respectively. Finally, the authors …

Persistent link: https://www.econbiz.de/10015071595