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Trial Search

Current Search Criteria:

Intervention: Deep learning

Found 0 matching trials

Menopause and Compassionate Living Education

Menopause is a natural stage in a woman's life characterized by the permane...

Status

Not Yet Recruiting

Location

Ataturk University Vocational School of Health Services

Start Date

2026-09-30

Trial ID

NCT07728461

Treatments Being Tested

Session 1: How We Evolved - Threat, Impulse, and Soothing Systems Session 2: Threat and Self-Compassion Session 3: Unraveling the Knots of Desire and Patterns Session 4: Internalizing compassion Session 5: Me and others - Expanding the circle Session 6: Growing happiness Session 7: Weaving Wisdom and Compassion into Daily Life Session 8: Living with the Heart

Automated Detection of Metastatic Bone Disease on Bone Scintigraphy Scans

N/A

Bone scintigraphy scans are two dimensional medical images that are used he...

Status

Completed

Location

Maastricht University

Start Date

2021-03-10

Trial ID

NCT05110430

Treatments Being Tested

Deep learning based detection of metastatic bone disease on bone scintigraphy scans.

Retrospective Multicenter Study of Patient-level T1CE/FLAIR MRI Deep Learning to Predict EGFR/ALK Driver Status in NSCLC Brain Metastases With External Validation and Survival Analysis

N/A

This retrospective multicenter observational study aims to develop and exte...

Status

Enrolling By Invitation

Location

National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

Start Date

2025-11-01

Trial ID

NCT07373951

Predicting Hospital Readmission for Surgical Patients Using Deep Learning Models With Smart Watch and Smart Ring Sensors Data

N/A

Hospital readmissions are an important measure of healthcare quality and sa...

Status

Recruiting

Location

Getúlio Vargas University Hospital

Start Date

2026-03-04

Trial ID

NCT07349901

AI Model for Early Gastric Cancer Diagnosis Using Endoscopic Imaging

N/A

Early gastric cancer (EGC) is often difficult to detect accurately during e...

Status

Recruiting

Location

The First Affiliated Hospital of Soochow University

Start Date

2026-05-01

Trial ID

NCT07551466

Treatments Being Tested

No intervention (observational study)

Cervical-Cranial Dry Needling vs. Orthopedic Manual Therapy for Cervicogenic Headache

Dry needling is a therapeutic modality used to treat a number of neuromuscu...

Status

Unknown

Location

Youngstown State University

Start Date

2018-07-05

Trial ID

NCT03583190

Treatments Being Tested

Cervical-cranial dry needling Orthopedic manual therapy Thoracic Manipulation Exercise Patient Education

AI-Based Prediction of Atrial Fibrillation in ESUS Patients With ICM

N/A

This study investigates patients with Embolic Stroke of Undetermined Source...

Status

Recruiting

Location

Korea University Ansan Hospital

Start Date

2025-11-19

Trial ID

NCT07347691

Clinical Validation of DystoniaNet Deep Learning Platform for Diagnosis of Isolated Dystonia

This research involves retrospective and prospective studies for clinical v...

Status

Recruiting

Location

Massachusetts Eye and Ear Infirmary

Start Date

2022-06-01

Trial ID

NCT05317390

Treatments Being Tested

DystoniaNet-based diagnosis of isolated dystonia

Examining the Effect of Breastfeeding Education Given to Mothers Based on Postpartum Awareness Practices on Breast Milk and Cortisol Hormone at the Newborn Circadian Level

In addition to being an easily accessible and ready-made food for babies in...

Status

Unknown

Location

Kafkas Universty

Start Date

2024-04-15

Trial ID

NCT06240676

Treatments Being Tested

AWARENESS-BASED COGNITIVE THERAPY

Prediction of Neoadjuvant Therapy Efficacy and Prognosis for Breast Cancer Based on Multimodal Data

This study aims to develop a multimodal deep learning model integrating MRI...

Status

Not Yet Recruiting

Location

Multiple Locations

Start Date

2026-06-01

Trial ID

NCT07671690

Treatments Being Tested

To explore the value of a multimodal deep learning model integrating MRI, ultrasound, digital pathology and clinical information in predicting pCR and long-term prognosis.

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