MANDY: Towards a Smart Primary Care Chatbot Application

Ni, Lin; Lu, Chenhao; Liu, Niu; Liu, Jiamou

doi:10.1007/978-981-10-6989-5_4

Cited by 96 publications

(79 citation statements)

References 25 publications

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“…Some interesting chatbots that were previously developed for the healthcare domain are also worth mentioning such as, SPeCECA [11] which is a smart pervasive chatbot for emergency case assistance and it is designated to interact with ordinary citizens to help them overcome an emergency situation by suggesting the accurate first aid actions to do. Additionally, Mandy [18] is a chatbot that communicates with normal people using natural language in order to provide an online healthcare suggestions. In [21], a chatbot is designed to mimic human interaction in a medical case.…”

Section: Related Workmentioning

confidence: 99%

Smart Ubiquitous Chatbot for COVID-19 Assistance with Deep learning Sentiment Analysis Model during and after quarantine

Ouerhani

Maalel

Ghézala

et al. 2020

Preprint

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The huge number of deaths caused by the novel pandemic COVID-19, which can affect anyone of any sex, age and socio-demographic status in the world, presents a serious threat for humanity and society. At this point, there are two types of citizens, those oblivious of this contagious disaster's danger that could be one of the causes of its spread, and those who show erratic or even turbulent behavior since fear and anxiety invades our surroundings because of confinement and panic of being affected.In this paper we aim at developing a smart ubiquitous chatbot, called COVID-Chatbot, for COVID-19 assistance during and after quarantine that communicates with a citizen to increase his/her consciousness towards the real danger of this outbreak. Furthermore, COVID-Chatbot is able to recognize and manage stress, during and after lockdown and quarantine period, using natural language processing (NLP).The robust messages delivered from COVID-Chatbot and its way of communication could possibly help to slow the COVID-19 spread.The proposed method is a ubiquitous healthcare service that is presented by its four interdependent modules: Information Understanding Module (IUM) in which the NLP is done, Data Collector Module (DCM) that collect user's non-confidential information to be used later by the Action Generator Module (AGM) that generates the chatbots answers which are managed through its three sub-modules. And finally the Depression Detector Model (DDM) that detects anxiety in the text input through a deep leaning sentiment analysis model to help AGM make the decision to deliver a reassurance message if a bad behavior is distinguished.

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Section: Related Workmentioning

confidence: 99%

Smart Ubiquitous Chatbot for COVID-19 Assistance with Deep learning Sentiment Analysis Model during and after quarantine

Ouerhani

Maalel

Ghézala

et al. 2020

Preprint

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show abstract

“…Pharmabot was a chatbot developed in 2015 to assist in medication education for pediatric patients and their parents, and Mandy was created in 2017 as an automated patient intake process for a primary care practice. 19,20 DL marked an important advancement in AIM. In contrast to ML, which uses a set number of traits and requires human input, DL can be trained to classify data on its own.…”

Section: From 2000 To 2020: Seminal Advancements In Aimentioning

confidence: 99%

History of artificial intelligence in medicine

Kaul

Enslin

Gross

2020

Gastrointestinal Endoscopy

462

231

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“…Interacting with a robotic doctor may be fundamentally different. Several companies have trialled chatbot-style text interfaces to an AI diagnosis system (Ni et al, 2017;Divya et al, 2018;Razzaki et al, 2018;McCartney, 2018) while others envision a richer interface. The capabilities of the robotic system in generating natural speech, a simulated face, or gestures through a humanoid avatar may all greatly impact its ability to form a rapport.…”

Section: Current Interactions Between Patients and Clinicians Depend mentioning

confidence: 99%

RoboDoc: Critical ethical issues to consider for the design and development of a robotic doctor experience

Edmond

Prakash

Carroll

2020

FRL

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To make sense of the robotic revolution quietly occurring in the health sector-particularly, the potential of the robot as a doctor-we need the mechanisms in place to enable us to reflect on the ethical values, beliefs, and aspirations that have shaped and are continuing to shape our health services. Robotics has the potential to re-invent our health system, but as designers and developers of the robot doctor, we need the means to fully understand both patient and doctor's needs to ensure complete satisfaction. In particular, we need to identify the strong moral and ethical principles in the health care system in order to truly understand those health care professionals that work within. This paper will explore the critical issues behind the robot-doctor interaction. It will highlight some of the main ethical considerations involved in the design and development of this medical robotic experience.

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MANDY: Towards a Smart Primary Care Chatbot Application

Cited by 96 publications

References 25 publications

Smart Ubiquitous Chatbot for COVID-19 Assistance with Deep learning Sentiment Analysis Model during and after quarantine

Smart Ubiquitous Chatbot for COVID-19 Assistance with Deep learning Sentiment Analysis Model during and after quarantine

History of artificial intelligence in medicine

RoboDoc: Critical ethical issues to consider for the design and development of a robotic doctor experience

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