Improving the Treatment Response of Patients with Irritable Bowel Syndrome: Implementing a Second-Generation Artificial Intelligence System for Overcoming Resistance

Table 1

Overcoming significant gaps in the diagnosis, treatment, and monitoring of patients with IBS using second-generation artificial intelligence systems.

	Barrier	Solution
Diagnosis	(i) Multifactorial nature of IBS	(i) A digital system that collects and integrates different datasets
	(ii) Lack of validated tests
		(ii) Identification of patient subgroups that require further evaluation by colonoscopy and motility tests
		(iii) Identification of patients who do not respond to treatment and may cause high health care costs
Treatment	(i) Low response rates	(i) A digital system with continuous dynamic feedback helps improve patient adherence, management of symptoms, and adaptation to the changing nature of the disease
	(ii) Require combination therapy
	(iii) Changes in IBS pattern over time
Monitoring	(i) Chronicity imposes a health care challenge to monitor patients	(i) A tool in the digital system to collect data of symptoms, the effectiveness of therapy, and side effects
	(ii) Changes in IBS pattern over time
		(ii) Provides a valid tool for caregivers to follow patients’ adherence and responsiveness
		(iii) The dynamic nature of the artificial intelligence system helps both patients and caregivers to tailor the relevant follow-up variables