TY  - GEN
N2  - The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.
DO  - 10.1007/978-981-19-1476-8
DO  - doi
AB  - The book discusses Explainable (XAI) and Responsive Artificial Intelligence (RAI) for biomedical and healthcare applications. It will discuss the advantages in dealing with big and complex data by using explainable AI concepts in the field of biomedical sciences. The book explains both positive as well as negative findings obtained by explainable AI techniques. It features real time experiences by physicians and medical staff for applied deep learning based solutions. The book will be extremely useful for researchers and practitioners in advancing their studies.
T1  - Biomedical data analysis and processing using explainable (XAI) and responsive artificial intelligence (RAI) /
AU  - Khamparia, Aditya,
AU  - Gupta, Deepak,
AU  - Khanna, Ashish
AU  - Balas, Valentina Emilia,
VL  - volume 222
CN  - R857.D34
ID  - 1445855
KW  - Biomedical engineering
KW  - Artificial intelligence.
KW  - Génie biomédical
KW  - Intelligence artificielle.
SN  - 9789811914768
SN  - 9811914761
TI  - Biomedical data analysis and processing using explainable (XAI) and responsive artificial intelligence (RAI) /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-1476-8
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-1476-8
ER  -