[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100615569":3},{"organization":4,"armGroups":7,"interventions":10,"overallOfficials":10,"centralContacts":15,"locations":25,"responsibleParty":42,"collaborators":10,"id":46,"slug":47,"hasResults":48,"nctId":49,"briefTitle":50,"officialTitle":50,"acronym":10,"eligibilityCriteria":51,"healthyVolunteers":52,"sex":53,"minAge":54,"maxAge":55,"enrollmentInfo":56,"targetDuration":10,"studyType":59,"phases":10,"briefSummary":60,"conditions":61,"keywords":63,"overallStatus":72,"whyStopped":10,"lastUpdateSubmitDate":73,"lastUpdatePostDateStruct":74,"startDateStruct":77,"completionDateStruct":79,"leadSponsor":81,"locationsCount":82},{"fullName":5,"class":6},"Cairo University","OTHER",[8,12],{"label":9,"type":10,"description":11,"interventionNames":10},"androgenetic alopecia",null,"Patients diagnosed clinically and trichoscopically with androgenetic alopecia of both genders. The diagnosis of AGA requires fulfillment of the primary criterion, plus one or more of the secondary criteria, and absence of exclusion criteria:\n\n* Primary criterion Hair shaft thickness heterogeneity on the frontal and\u002For vertex scalp, defined as proportion of hairs \\\u003C 0.06 mm (including intermediate, thin, and vellus hairs) ≥20%.\n* Secondary criteria\n\n  1. Proportion of single hair follicle unit on the frontal and\u002For vertex scalp ≥30%.\n  2. Proportion of vellus hairs on the frontal and\u002For vertex scalp \\>10%.\n  3. There are at least two other dermoscopic signs: brown peripilar sign, yellow dots,white dots, scalp honeycomb pigmentation\n* Exclusion criteria Black dots, broken hairs, exclamation mark hairs",{"label":13,"type":10,"description":14,"interventionNames":10},"normal controls","apparently normal participants not suffering from the following :\n\n1. androgenetic alopecia\n2. patchy hair loss.\n3. cicatricial alopecia or diffuse alopecia areata\n4. inflammatory scalp disorders (psoriasis, seborrheic dermatitis, lichen planopilaris and frontal fibrosing alopecia in a pattern distribution)",[16,21],{"name":17,"role":18,"phone":19,"phoneExt":10,"email":20},"Noura Nour, MSc, MBBCh","CONTACT","00201271451744","nouraadel41929@postgrad.kasralainy.edu.eg",{"name":22,"role":18,"phone":23,"phoneExt":10,"email":24},"Ahmed Mourad, MD","00201021534245","ahmedmourad@kasralainy.edu.eg",[26],{"facility":27,"status":10,"city":28,"state":29,"zip":30,"country":31,"countryCode":32,"cosmosGeoPoint":33,"geoPoint":38,"contacts":39},"Faculty of Medicine Cairo University","Cairo","Cairo Governorate","11553","Egypt","EG",{"type":34,"coordinates":35},"Point",[36,37],31.24967,30.06263,{"lat":37,"lon":36},[40],{"name":41,"role":18,"phone":19,"phoneExt":10,"email":20},"Noura Nour, MSc, MBBch",{"type":43,"investigatorFullName":44,"investigatorTitle":45,"investigatorAffiliation":5,"oldNameTitle":10,"oldOrganization":10},"PRINCIPAL_INVESTIGATOR","Noura Adel Ahmed Abdelghany Nour","Assistant Lecturer","100615569","harnessing-artificial-intelligence-for-diagnosing-androgenetic-alopecia-a-training-and-validation-study-100615569",false,"NCT07294313","Harnessing Artificial Intelligence for Diagnosing Androgenetic Alopecia: A Training and Validation Study","for the patient group:\n\nInclusion criteria:\n\n* Patients with male or female pattern hair loss diagnosed clinically or suspected clinically and confirmed trichoscopically\n* Age of disease onset 12-50 years old\n* Both genders\n* Any grade of androgenetic alopecia\n* Any duration of androgenetic alopecia\n* Any skin type\n\nExclusion criteria by clinical and trichoscopic examination:\n\n* Patients with patchy hair loss or Telogen effluvium only.\n* Patients with cicatricial alopecia or diffuse alopecia areata\n* Patients with inflammatory scalp disorders (psoriasis, seborrheic dermatitis, lichen planopilaris and frontal fibrosing alopecia in a pattern distribution)\n* Lack of patient cooperation.\n\nfor the control group: apparently healthy participants not suffering from the following: AGA, patchy hair loss, cicatricial alopecia, diffuse alopecia areata, inflammatory scalp disorders (psoriasis, seborrheic dermatitis, lichen planopilaris and frontal fibrosing alopecia in a pattern distribution).",true,"ALL","12 Years","50 Years",{"count":57,"type":58},400,"ESTIMATED","OBSERVATIONAL","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).",[62],"Androgenetic Alopecia",[62,64,65,66,67,68,69,70,71],"deep learning","Artificial Intelligence","Convoluted neural network","trichoscopy","female pattern hair loss","male pattern hair loss","handheld dermoscope","hair count","NOT_YET_RECRUITING","2026-03-19",{"date":75,"type":76},"2026-03-20","ACTUAL",{"date":78,"type":58},"2026-04-25",{"date":80,"type":58},"2026-11-25",{"name":5,"class":6},1]