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Predicting adult ADHD using an artificial intelligence (AI) diagnosed tool

Predicting adult ADHD using an artificial intelligence (AI) diagnosed tool - Predicting adult ADHD using an artificial intelligence (AI) diagnosed tool

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000049863
Enrollment
100
Registered
2023-01-03
Start date
2023-01-09
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

attention deficit hyperactivity disorder, ADHD

Interventions

None listed

Sponsors

Takeda Pharmaceutical Company Limited.
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Subject eligibility is determined based on the following criteria before inclusion in the study: (1) Confirmed diagnosis of ADHD -Patients diagnosed with ADHD as per DSM-5 -CAARS (T score: 65 or higher ) -AQ-J Score: < 33 -JART score: 85 or higher (2) Typical developer -The subject has no history of psychiatric disorders. -The subject has no psychiatric illness as confirmed by a structured interview in accordance with DSM-5. In this case, M.I.N.I. is used secondarily. -CAARS (T score: < 65) -AQ-J Score: < 33 -JART score: 85 or higher (1)(2) Common -In the opinion of the investigator or sub-investigator, the subject is capable of understanding and complying with protocol requirements. -The subject signs and dates a written, informed consent form prior to the initiation of any study procedures. -The subject is aged 20 to 50 years, inclusive, at the time of informed consent. -The subject is native Japanese and can conduct interviews (conversations with healthcare professionals).

Exclusion criteria

Exclusion criteria: Any subject who meets any of the following criteria will not qualify for entry into the study: -The subject is, in the opinion of the physician, unable to participate in the study due to deafness, dysarthria, aphasia, etc. -Cognitive impairment due to a nervous system disorder (Epilepsy, stroke, etc.) or other disorders such as head trauma, or a diagnosis of dementia -The subject has a diagnosis of ASD. -The subject has a diagnosis of psychiatric illness, including anxiety, obsessive-compulsive and related disorders, traumatic and stress-related disorders, depression, bipolar disorder, schizophrenia spectrum disorder, or limited learning and intellectual disability. -Other cases where the investigator or sub-investigator judges it difficult to continue the study.

Design outcomes

Primary

MeasureTime frame
Sensitivity, specificity, and accuracy of the following AI prediction model

Countries

Japan

Contacts

Public ContactNozomi Kamijo

Takeda Pharmaceutical Company Limited. Japan Medical Office

nozomi.kamijo@takeda.com03-3278-2111

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026