The aim of this study is to develop and validate deep learning models in diagnosis of male and female pattern hair loss, and assessment of its severity based on clinical and trichoscopic image by handheld dermoscopy and administrative data (age and sex).
Patients with male or female pattern hair loss diagnosed clinically or suspected clinically and confirmed trichoscopically
Age of disease onset 12-50 years old
Both genders
Any grade of androgenetic alopecia
Patients with patchy hair loss or Telogen effluvium only.
Patients with cicatricial alopecia or diffuse alopecia areata
Patients with inflammatory scalp disorders (psoriasis, seborrheic dermatitis, lichen planopilaris and frontal fibrosing alopecia in a pattern distribution)
Lack of patient cooperation.
Patients diagnosed clinically and trichoscopically with androgenetic alopecia of both genders and apparently healthy controls.
Case-control
Prospective
Not listed
assessment of diagnostic capability of AI in AGA
Assess accuracy, sensitivity, specificity and positive predictive value of the trained AI models in differentiating AGA affected from non-AGA affected subjects using their macroscopic and trichoscopic images.
assessment of severity of androgenetic alopecia using AI
Assess accuracy, sensitivity, specificity and positive predictive value of the trained AI models in assessment of severity of androgenetic alopecia as regards: 1. Clinical classification (Sinclair scale for female pattern baldness and the Hamilton-Norwood scale for male pattern baldness) 2. Trichoscopic parameters: mean hair thickness (in micrometer, using planimetric analysis), hair density (frequency per cm2), proportion of terminal hairs, proportion of vellus hairs, number of hairs per follicular unit, presence of brown peripilar sign, yellow dots, and scalp honeycomb pigmentation.
facilitation of AI assessment using macroscopic imagies
To compare the model's diagnostic accuracy using the macroscopic versus trichoscopic images alone
Click on the lead sponsor to view all of their trials.
This trial is not recruiting at the moment. You can still explore other options:
