Aditya V. Karhade
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Massachusetts General Hospitalas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-6026-4361
- OpenAlex ID
- A5060958982as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 20
Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?,
Can We Geographically Validate a Natural Language Processing Algorithm for Automated Detection of Incidental Durotomy Across Three Independent Cohorts From Two Continents?,
Comparison of eight modern preoperative scoring systems for survival prediction in patients with extremity metastasis,
Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN),
Development and internal validation of a clinical prediction model using machine learning algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above,
Development and internal validation of machine learning algorithms for predicting complications after primary total hip arthroplasty,
Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis,
Development of Machine Learning Algorithms for Prediction of 30-Day Mortality After Surgery for Spinal Metastasis
+12 more
← Authored by 20
Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma?,
Can We Geographically Validate a Natural Language Processing Algorithm for Automated Detection of Incidental Durotomy Across Three Independent Cohorts From Two Continents?,
Comparison of eight modern preoperative scoring systems for survival prediction in patients with extremity metastasis,
Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network (CNN),
Development and internal validation of a clinical prediction model using machine learning algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above,
Development and internal validation of machine learning algorithms for predicting complications after primary total hip arthroplasty,
Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis,
Development of Machine Learning Algorithms for Prediction of 30-Day Mortality After Surgery for Spinal Metastasis
+12 more
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Summary
Aditya V. Karhade is a human[1].