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Breast cancer is an important medical disorder, which is not a single disease but a cluster more than 200 different serious medical complications.

The new artificial bee colony (ABC) implementation has been applied to probabilistic neural network (PNN) for training and testing purpose to classify the breast cancer data set.

The new ABC algorithm along with PNN has been successfully applied to breast cancers data set for prediction purpose with minimum iteration consuming.

The new implementation of ABC along PNN can be easily applied to times series problems for accurate prediction or classification.

The purpose of this paper is to synthesize the experiences and needs of colorectal cancer patients during postoperative recovery.

This study is an integrative review, conducted by CINAHL, PubMed, ScienceDirect and ThaiJO from 2009 to 2019. Ten research articles published have been selected by PRISMA process.

Results show the experiences of colon cancer patients during postoperative recovery consisted of four themes, namely suffering, decreased activity, ambivalent feeling and need of caring.

The health care personnel should be aware of these experiences and give holistic care in order to let the patients free from unpleasant experiences and receive the responses which really meet their needs.

Knowledge about the experience and needs of colorectal cancer patients after surgery is of great benefit to healthcare providers who are planning the care, so as to achieve complete holistic care in the future research.

The purpose of the paper is to highlight the role of Artificial Intelligence (AI) in the healthcare industry through the Ayushman Bharat health protection scheme by analyzing various technologies being integrated to improve the customer service and experiences in India. The key focus lies on the understanding of the influence of AI in the healthcare system services, the clinical treatment, and the facilities to progress with accurate and precise health screening in India.

A systematic study on the emerging technologies of AI and the applications in the healthcare sector is presented in the form of a viewpoint.

AI certainly enhances experiential services; however, it cannot surpass the human touch which is an essential determinant of experiential healthcare services. AI acts as an effective complementary dimension to the future of healthcare.

This viewpoint discusses the applications and role of AI with the help of relevant examples. It highlights the different technologies being applied and how they will be used in the future focusing upon the Ayushman Bharat health protection scheme in India.