In this paper, using Reddit, we investigated on the efficacy of using an AI-based mood analysis methodology to understand how the prescription of different prenatal diagnostic tests (invasive vs non-invasive), and their corresponding outcomes, may have an impact onto the mood of parents-to-be. We found an interesting causal relationship between tests and mood that deserves a deeper comprehension by means of healthcare professionals. We have also demonstrated that combining AI-based dialogue analysis methodologies with advanced statistics may bring to a smart model, suitable for transforming a large amount of empirical data into correct medical interpretation
To evaluate and holistically treat the mental health sequelae and potential psychiatric comorbiditie...
Advances in public health and medical care have enabled better pregnancy and birth outcomes. The rat...
Artificial intelligence (AI) is being incorporated into medicine to improve patient care. This resea...
In this paper, using Reddit, we investigated on the efficacy of using an AI-based mood analysis meth...
Machine (learning)-based techniques have made substantial advances recently, and there is a general ...
Using AI-derived computerized techniques, we have modeled the large amount of online Reddit conversa...
Artificial Intelligence has been widely applied to a majority of research areas, including health an...
A medical field that is increasingly benefiting from Artificial Intelligence applications is Gyne- c...
As artificial intelligence (AI) continues to change the healthcare industry, models are being utili...
A biological understanding is key for managing medical conditions, yet psychological and social aspe...
Recently, consumer-facing health technologies such as Artificial Intelligence (AI)-based symptom che...
The paper examines the potential of artificial intelligence (AI) in parsing text and conducting sent...
To evaluate and holistically treat the mental health sequelae and potential psychiatric comorbiditie...
The ubiquity of mobile devices and wearable sensors coupled with fast-evolving machine learning algo...
OBJECTIVE: Artificial intelligence (AI) provides people and professionals working in the field of pa...
To evaluate and holistically treat the mental health sequelae and potential psychiatric comorbiditie...
Advances in public health and medical care have enabled better pregnancy and birth outcomes. The rat...
Artificial intelligence (AI) is being incorporated into medicine to improve patient care. This resea...
In this paper, using Reddit, we investigated on the efficacy of using an AI-based mood analysis meth...
Machine (learning)-based techniques have made substantial advances recently, and there is a general ...
Using AI-derived computerized techniques, we have modeled the large amount of online Reddit conversa...
Artificial Intelligence has been widely applied to a majority of research areas, including health an...
A medical field that is increasingly benefiting from Artificial Intelligence applications is Gyne- c...
As artificial intelligence (AI) continues to change the healthcare industry, models are being utili...
A biological understanding is key for managing medical conditions, yet psychological and social aspe...
Recently, consumer-facing health technologies such as Artificial Intelligence (AI)-based symptom che...
The paper examines the potential of artificial intelligence (AI) in parsing text and conducting sent...
To evaluate and holistically treat the mental health sequelae and potential psychiatric comorbiditie...
The ubiquity of mobile devices and wearable sensors coupled with fast-evolving machine learning algo...
OBJECTIVE: Artificial intelligence (AI) provides people and professionals working in the field of pa...
To evaluate and holistically treat the mental health sequelae and potential psychiatric comorbiditie...
Advances in public health and medical care have enabled better pregnancy and birth outcomes. The rat...
Artificial intelligence (AI) is being incorporated into medicine to improve patient care. This resea...