Clinical Trials Logo

Clinical Trial Summary

Artificial intelligence (AI) based on imaging holds tremendous potential to enhance visual diagnostic accuracy in the medical field. Amid the COVID-19 pandemic, limited access to in-person healthcare services drove shifts in medical care, hastening the adoption of telemedicine. In this context, AI usage for triage and decision support may be crucial for professionals to manage workload and improve performance. In dermatology, pigmented lesions, acne, and alopecia are three recurring pathology groups with high demand in dermatological centers. Both triage, clinical evaluation, and patient follow-up require in-person resources and specialist dedication. Employing tools like AI can benefit these professionals in reducing such processes and optimizing workload. Advancements in image recognition and interpretation, as well as in artificial intelligence, have spurred innovations in diagnosing various pathologies, including skin conditions. Computer-Aided Diagnosis (CAD) systems and other algorithm-based technologies have demonstrated the ability to classify lesion images with a competency comparable to that of an expert physician. In this study, the Legit.Health tool, developed by AI LABS GROUP S.L., which utilizes artificial intelligence to optimize clinical flow and patient care processes for skin conditions, will be evaluated. The purpose of this tool is to automatically prioritize patients with greater urgency, assign the type of consultation (dermatological or aesthetic), enhance diagnostic capability and detection of malignant pigmented lesions in auxiliary staff, and provide a visual record (photograph) of the condition for later review by external experts. Thus, the main objective of this study is to validate that Legit.Health, based on Artificial Intelligence, improves efficiency in clinical flow and patient care processes, thereby reducing time and cost of patient care through enhanced diagnostic accuracy and severity determination. The secondary objectives focus on measuring the diagnostic performance of Legit.Health: Demonstrate that Legit.Health enhances healthcare professionals' ability to detect malignant or suspicious pigmented lesions. Demonstrate that Legit.Health improves healthcare professionals' ability and precision in measuring the degree of involvement in patients with female androgenetic alopecia. Demonstrate that Legit.Health improves healthcare professionals' ability and precision in measuring the degree of involvement in patients with acne. Additionally, the study aims to assess the utility of this tool: Automate the triage/initial assessment process in patients presenting with pigmented lesions. Evaluate the reduction in healthcare resources usage by the center by reducing the number of triage consultations and directing the patient directly to the appropriate consultation (esthetic or dermatological). Evaluate Legit.Health's usability by the patient. Demonstrate that Legit.Health increases specialist satisfaction. Evaluate the reduction in healthcare resources usage by reducing the number of triage consultations and directing the patient directly to the appropriate consultation, whether in aesthetic or dermatological settings. Methodology Study Design Type This is an observational study, both prospective with a longitudinal character and retrospective case series. Study Period This study estimates a recruitment period of 3 months. The total study duration is estimated at 6 months, including the previous time for retrospective analysis and the necessary time after recruiting the last subject for database closure and editing, data analysis, and preparation of the final study report. The total study duration for each participant with pigmented lesions will be 1-3 months. The duration for patients with acne and alopecia will be 1 day. Study Population Adult patients (≥ 18 years) with skin pathologies treated at the Dermatology Unit of IDEI.


Clinical Trial Description

Artificial intelligence (AI) based on images presents enormous potential for improving visual diagnostic accuracy in the medical field. During the COVID-19 pandemic, limited access to in-person healthcare services drove changes in medical care, accelerating the adoption of telemedicine. In this context, the use of AI for triage and decision support can be crucial for professionals to manage workload and improve performance. In dermatology, pigmented lesions, acne, and alopecia are three recurring pathology groups with high demand in a dermatological center. Both triage of these patients, clinical evaluation, and their follow-up require in-person resources and the dedication of the specialist and staff. The use of tools like AI can benefit these professionals in reducing these processes and optimizing the workload. Advances in image recognition and interpretation, as well as in artificial intelligence, have driven innovations in diagnosing various pathologies, including skin conditions. Computer-Aided Diagnosis (CAD) systems and other algorithm-based technologies have demonstrated their ability to classify lesion images with a competency comparable to that of an expert physician. In this study, the Legit.Health tool, developed by AI LABS GROUP S.L., which uses artificial intelligence to optimize clinical flow and the care process of patients with skin conditions, will be evaluated. The purpose of this tool is the automatic prioritization of patients with greater urgency, assigning them the type of consultation (dermatological or aesthetic), improving the diagnostic capacity and detection of malignant pigmented lesions in auxiliary staff, as well as providing a visual record (photograph) of the condition for later review by external experts. Thus, the main objective of this study is to validate that the Legit.Health tool, based on Artificial Intelligence, improves efficiency in clinical flow and the care process of patients, reducing the time and cost of care per patient through enhanced diagnostic accuracy and determination of the degree of malignancy or severity. The secondary objectives focus on measuring the diagnostic performance of Legit.Health: Demonstrate that Legit.Health improves the ability of healthcare professionals to detect malignant or suspicious pigmented lesions. Demonstrate that Legit.Health improves the ability and precision of healthcare professionals in measuring the degree of involvement in patients with female androgenetic alopecia. Demonstrate that Legit.Health improves the ability and precision of healthcare professionals in measuring the degree of involvement in patients with acne. Additionally, the study aims to assess the utility of this tool: Automate the triage/initial assessment process in patients consulting for pigmented lesions. Evaluate the reduction in healthcare resource usage by the center by reducing the number of triage consultations and directly referring the patient to the appropriate consultation (esthetic or dermatological). Evaluate Legit.Health's usability by the patient. Demonstrate that Legit.Health increases specialist satisfaction. Evaluate the reduction in healthcare resource usage by reducing the number of triage consultations and directly referring the patient to the appropriate consultation, whether in aesthetic or dermatological settings. Methodology: Study Design Type: This is an observational study, both prospective with a longitudinal character and retrospective case series. Study Period: This study estimates a recruitment period of 3 months. The total study duration is estimated at 6 months, including the previous time for retrospective analysis and the necessary time after recruiting the last subject for database closure and editing, data analysis, and preparation of the final study report. The total study duration for each participant with pigmented lesions will be 1-3 months. The duration for patients with acne and alopecia will be 1 day. Study Population: Adult patients (≥ 18 years) with skin pathologies treated at the Dermatology Unit of IDEI. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06263413
Study type Observational
Source AI Labs Group S.L
Contact Miguel Sánchez-Viera, PhD
Email sanchez.viera@ideidermatologia.com
Status Recruiting
Phase
Start date January 15, 2024
Completion date September 30, 2024

See also
  Status Clinical Trial Phase
Completed NCT04321070 - Bio-equivalence Study With Clinical Endpoints in the Treatment of Acne Vulgaris Phase 1
Recruiting NCT05755256 - The Impact of Probiotics on Skin Hydration in Youth With Mild Acne Phase 2
Completed NCT05131373 - Safety, Tolerability, and Immunogenicity of ORI-A-ce001 for the Treatment of Acne Vulgaris Phase 1
Completed NCT01445301 - Study STF115287, a Clinical Confirmation Study of GSK2585823 in the Treatment of Acne Vulgaris in Japanese Subjects Phase 3
Completed NCT03303170 - Non-Significant Risk Study of Sebacia Microparticles in the Treatment of Facial Acne Vulgaris N/A
Completed NCT04698239 - Clinical Evaluation of the Safety and Benefits of the Milesman 445 nm Blue Laser on Inflammatory Acne Lesions. N/A
Completed NCT02886715 - A Study Comparing Tazarotene Cream 0.1% to TAZORAC® (Tazarotene) Cream 0.1% and Both to a Placebo Control in the Treatment of Acne Vulgaris Phase 3
Terminated NCT02924428 - Venus Versa Diamondpolar Applicator Treatment Followed by AC Dual Applicator Treatment for Facial Acne Vulgaris N/A
Completed NCT02709902 - Study Comparing Adapalene/BP Gel to EPIDUO® FORTE and Both to a Placebo Control in Treatment of Acne Vulgaris Phase 1
Not yet recruiting NCT02535871 - A Study Comparing the Efficacy and Safety of IDP-121 and IDP-121 Vehicle Lotion in the Treatment of Acne Vulgaris Phase 3
Not yet recruiting NCT02525822 - Study to Compare the Safety and Efficacy of IDP-123 Lotion to Tazorac Cream in the Treatment of Acne Vulgaris Phase 2
Not yet recruiting NCT02491060 - A Study Comparing the Efficacy and Safety of IDP-121 and IDP-121 Vehicle Lotion in the Treatment of Acne Vulgaris Phase 3
Completed NCT02250430 - A Phase 1 Study Assessing Local Cutaneous Effects of SB204 Phase 1
Completed NCT02913001 - The Effect of a Low Glycemic Load Diet on Hormonal Markers Associated With Acne N/A
Completed NCT01769664 - A Study Comparing Clindamycin 1%/Benzoyl Peroxide 5% Topical Gel to Duac® Topical Gel in the Treatment of Acne Vulgaris Phase 1
Completed NCT01694810 - Cutaneous Tolerability and Safety of NVN1000 Topical Gel in Healthy Volunteers Phase 1
Completed NCT01727440 - Identifying the Genetic Predictors of Severe Acne Vulgaris and the Outcome of Oral Isotretinoin Treatment N/A
Completed NCT01194375 - A Dose-Ranging Study Evaluating the Safety and Efficacy of IDP-107 in Patients With Acne Vulgaris Phase 2
Completed NCT00991198 - The Role of Topically Dissolved Oxygen (TDO) to Ameliorate Signs of Photodamage Phase 2
Completed NCT02524665 - 8 Week Study to Evaluate and Compare the Efficacy and Tolerability of MAXCLARITY II and MURAD To Treat Acne Phase 4