Maurizio Guido
Biographic Data
| ID | 7810032 |
|---|---|
| NAME | Maurizio Guido |
| GIVEN NAMES | Maurizio |
| FAMILY NAME | Guido |
| SIGNATURE | GUIDO M |
| AFFILIATIONS | University of L'Aquila |
| ORCID | 0000-0001-6554-0874 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The I-Kapcam-Ai-Q: A novel instrument for evaluating health care providers’ AI awareness in Italy
Background Understanding healthcare providers’ readiness and attitudes is crucial for integrating AI in healthcare, yet no validated tool exists to evaluate these aspects among Italian physicians. This study developed and validated the Italian Knowledge, Attitudes, Practice, and Clinical Agreement between Medical Doctors and the Artificial Intelligence Questionnaire (I-KAPCAM-AI-Q). Methods This was a cross-sectional validation study. The validat…
The Perception of the Quality of Professional Healthcare Assistance for the Management of Endometriosis: Findings from a National Survey in Italy
(1) Background: endometriosis is included in the list of chronic and disabling pathologies. This study aimed to examine patients' points of view about the quality of care for endometriosis during the COVID-19 pandemic; (2) Methods: we conducted a survey on knowledge about endometriosis, management of endometriosis, perceived mental and physical well-being, and perceived changes in the quality of care during the pandemic; (3) Results: out of 1065 …
Risk Assessment Model for Complications in Minimally Invasive Hysterectomy: A Pilot Study
Objective: To estimate the rate of intra-operative and postoperative complications, and to define the risk of 30-day major postoperative complications (Clavien-Dindo > 2) according to the presence of one of 10 different variables of minimally invasive (MI) hysterectomy; and then to create a risk assessment model easily applicable in clinical practice. Methods: A single center single arm retrolective study. Data of consecutive patients who have un…
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Risk Assessment Model for Complications in Minimally Invasive Hysterectomy: A Pilot Study
Objective: To estimate the rate of intra-operative and postoperative complications, and to define the risk of 30-day major postoperative complications (Clavien-Dindo > 2) according to the presence of one of 10 different variables of minimally invasive (MI) hysterectomy; and then to create a risk assessment model easily applicable in clinical practice. Methods: A single center single arm retrolective study. Data of consecutive patients who have un…
The Perception of the Quality of Professional Healthcare Assistance for the Management of Endometriosis: Findings from a National Survey in Italy
(1) Background: endometriosis is included in the list of chronic and disabling pathologies. This study aimed to examine patients' points of view about the quality of care for endometriosis during the COVID-19 pandemic; (2) Methods: we conducted a survey on knowledge about endometriosis, management of endometriosis, perceived mental and physical well-being, and perceived changes in the quality of care during the pandemic; (3) Results: out of 1065 …
The I-Kapcam-Ai-Q: A novel instrument for evaluating health care providers’ AI awareness in Italy
Background Understanding healthcare providers’ readiness and attitudes is crucial for integrating AI in healthcare, yet no validated tool exists to evaluate these aspects among Italian physicians. This study developed and validated the Italian Knowledge, Attitudes, Practice, and Clinical Agreement between Medical Doctors and the Artificial Intelligence Questionnaire (I-KAPCAM-AI-Q). Methods This was a cross-sectional validation study. The validat…
Health care (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Uterine Myomas and Treatments (2 works) · Abdominal hysterectomy (1 works) · Artificial Intelligence in Healthcare and Education (1 works) · Body mass index (1 works) · CLARITY (1 works) · Clinical decision support system (1 works) · Clinical Reasoning and Diagnostic Skills (1 works)