Annarita Vignapiano
Biographic Data
| ID | 7953704 |
|---|---|
| NAME | Annarita Vignapiano |
| GIVEN NAMES | Annarita |
| FAMILY NAME | Vignapiano |
| SIGNATURE | VIGNAPIANO A |
| AFFILIATIONS | ASL Roma |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Effect of psychopharmacological combinations on psychopathological symptom burden and BMI trajectories in patients with eating disorders
Prospective monitoring of BMI and AMI revealed differential associations between psychopharmacological agents and both nutritional and symptomatic trajectories in an inpatient ED cohort predominantly composed of patients with AN. Mood stabilizers were associated with smaller BMI increases, while several antidepressants corresponded to less improvement in psychopathological symptom burden. Atypical antipsychotics showed the strongest prospective r…
Gamification in Psychiatry
BACKGROUND: Gamification, the strategic application of game design elements in non-game environments, has become increasingly prominent in digital mental health. It aims to enhance user engagement, motivation, and adherence through mechanisms such as points, feedback systems, rewards, and narrative frameworks. While it shows promise in promoting therapeutic engagement, the empirical foundation of its use in psychiatric treatment remains limited. …
Case Report
The intersection of psychiatry and medicine presents unique diagnostic and ethical challenges, particularly for conditions involving significant brain-body interactions, such as psychosomatic, somatopsychic, and complex systemic disorders. This article explores the historical and contemporary issues in diagnosing such conditions, emphasizing the fragmentation of medical and psychiatric knowledge, biases in clinical guidelines, and the mismanageme…
Proximity-based solutions for optimizing autism spectrum disorder treatment
Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, presenting challenges in social communication, repetitive behaviors, and sensory processing. Despite its prevalence, diagnosis can be lengthy, and access to appropriate treatment varies greatly. This project utilizes the power of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve Autism Spectrum Disorder diagnosis and treatme…
An advanced Artificial Intelligence platform for a personalised treatment of Eating Disorders
This project signifies a pivotal shift towards data-driven, patient-centered ED care in Italy. By integrat ing AI and promoting collaboration, it seeks to redefine mental healthcare standards and foster better well- being among individuals with EDs
No prominent works on this page.
An advanced Artificial Intelligence platform for a personalised treatment of Eating Disorders
This project signifies a pivotal shift towards data-driven, patient-centered ED care in Italy. By integrat ing AI and promoting collaboration, it seeks to redefine mental healthcare standards and foster better well- being among individuals with EDs
Gamification in Psychiatry
BACKGROUND: Gamification, the strategic application of game design elements in non-game environments, has become increasingly prominent in digital mental health. It aims to enhance user engagement, motivation, and adherence through mechanisms such as points, feedback systems, rewards, and narrative frameworks. While it shows promise in promoting therapeutic engagement, the empirical foundation of its use in psychiatric treatment remains limited. …
Case Report
The intersection of psychiatry and medicine presents unique diagnostic and ethical challenges, particularly for conditions involving significant brain-body interactions, such as psychosomatic, somatopsychic, and complex systemic disorders. This article explores the historical and contemporary issues in diagnosing such conditions, emphasizing the fragmentation of medical and psychiatric knowledge, biases in clinical guidelines, and the mismanageme…
Proximity-based solutions for optimizing autism spectrum disorder treatment
Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, presenting challenges in social communication, repetitive behaviors, and sensory processing. Despite its prevalence, diagnosis can be lengthy, and access to appropriate treatment varies greatly. This project utilizes the power of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve Autism Spectrum Disorder diagnosis and treatme…
Effect of psychopharmacological combinations on psychopathological symptom burden and BMI trajectories in patients with eating disorders
Prospective monitoring of BMI and AMI revealed differential associations between psychopharmacological agents and both nutritional and symptomatic trajectories in an inpatient ED cohort predominantly composed of patients with AN. Mood stabilizers were associated with smaller BMI increases, while several antidepressants corresponded to less improvement in psychopathological symptom burden. Atypical antipsychotics showed the strongest prospective r…
Medicine (3 works) · Psychiatry (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Eating disorders (2 works) · Eating Disorders and Behaviors (2 works) · Autism (1 works) · Autism spectrum disorder (1 works) · Autism Spectrum Disorder Research (1 works)