CLINICCAI Panel speakers have been confirmed. Please join us from 16:30-17:15 on October 10, 2023, to hear a panel on "Interdisciplinary Clinical Translation". Panelists include:
Dear Colleagues,
It is a great pleasure to invite you to the third edition of CLINICCAI, a MICCAI event dedicated to healthcare practitioners willing to discuss their research on the translational and clinical aspects of medical image computing, computer-assisted interventions, and medical robotics.
The Medical Image Computing and Computer Assisted Intervention Society (the MICCAI Society) is a leading community of biomedical scientists, engineers, and clinicians working on advances in the methodology and applications of these fields since 1998. Recent methodological improvements and new clinical applications enabled by breakthroughs in medical imaging, deep learning and other AI techniques motivated MICCAI to create a clinical day to reinforce its clinical ties and explore further how to generate value for patients and healthcare systems.
The third edition of CLINICCAI will be a fantastic opportunity for healthcare practitioners to share their translational research experiences, discuss needs with biomedical researchers with diverse backgrounds, network and become active members of the growing MICCAI community. The event will take place in parallel to MICCAI 2023, allowing participants to explore and get inspired by the other scientific sessions, workshops and social happenings of the biomedical conference.
MICCAI will take place from October 8th to 12th, 2023, at the Vancouver Convention Centre, Canada, and CLINICCAI will be held on October 10th. This will be the first time that CLINICCAI will be hosted in America.
Works to be presented will be selected based on an abstract submission evaluated by an international committee of physicians actively working in the field of clinical translation.
We look forward to welcoming you at CLINICCAI!
Gretchen Purcell Jackson, MD PhD FACS FACMI FAMIA
Gretchen Purcell Jackson, MD, PhD, FACS, FAMCI, FAMIA is Vice President and Scientific Medical Officer at Intuitive Surgical and an Associate Professor of Surgery, Pediatrics, and Biomedical Informatics at the Vanderbilt University Medical Center. She is President and Chair of the Board of Directors for the American Medical Informatics Association (AMIA) and an elected fellow of the American College of Medical Informatics (ACMI). Dr. Jackson is board certified in general, pediatric surgery, and clinical informatics. Her research interests are consumer health informatics and evaluation of artificial intelligence and other digital solutions for healthcare.
| Title | First Author |
|---|---|
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Title Validation of machine learning models for estimation of left ventricular ejection fraction on point-of-care ultrasound: Insights on features that impact performance |
First Author Christina Luong |
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Title A Comparison of Recognition Performance for Key Anatomical Structures between Artificial Intelligence and Surgeons in Laparoscopic Colorectal Surgery: A Prospective Observational Study |
First Author Daichi Kitaguchi |
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Title Transformer-Based Image Synthesis for Radiation Dose Reduction in Multi-Phase CT Imaging of the Kidneys |
First Author Andrew L Wentland |
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Title H&E 2.0: deep learning-enabled identification of tumor-specific CD39+CD8+ T cells in marker-free images for predicting immunotherapy response |
First Author Willa Yim |
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Title Automated Brain Tumor Subregion Segmentation on Multi-Parametric MRI Sequences of Pediatric Brain Tumors Across Multiple Institutions and Histologies |
First Author Ali Nabavizadeh |
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Title HE2.0 web server: an image database supports interactive visualization towards AI-empowered pathology training |
First Author Mai Chan Lau |
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Title Deep learning-based segmentation of coronary arteries in x-ray coronary angiography |
First Author Mitchel Molenaar |
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Title Improving Augmented Reality Surgery through first-in-human real time AI-powered instrument segmentation |
First Author Pieter De Backer |
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Title Computer aided detection system for Barrett's neoplasia improves endoscopic detection by general endoscopists: an ex-vivo benchmarking study. |
First Author Martijn Jong |
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Title Prediction of hematoma expansion in acute intracerebral hemorrhage using a multimodal neural network model |
First Author Dietmar Frey |
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Title Surgical Team: Measuring the Shared Cognition and Performance |
First Author Bin Zheng |
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Title Deep Multimodal Fusion for Classification of Surgical Feedback Components in Robot-Assisted Surgery |
First Author Rafal D Kocielnik |
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Title Validation Study of an AI Support System for Intraoperative Recognition of Anatomical Structures in Laparoscopic/Robot-assisted Hysterectomy |
First Author Nobuyoshi Takeshita |
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Title Deep Learning-based mutation Assessment for Reliable dermato-ONcology (DARON) |
First Author Pierre Le Noac'h |
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Title Sarcopenia and Hypoalbuminia are associated with decreased overall survival after Nephrectomy and IVC Thrombectomy for renal cell carcinoma |
First Author Andrew Wood |
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Title The SAGES Critical View of Safety Challenge - Infrastructure of a Biomedical Data Challenge from the Perspective of a Clinical Society |
First Author Jennifer Eckhoff |
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Title Robot-Assisted SEEG Electrode Placement for Epilepsy in Pediatric Patients: Workflow Comparison between Frame-Based and Frameless approaches |
First Author Sandrine de Ribaupierre |
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Title Diagnosis of Pulmonary Emboli in Low Resource Settings with Rapid Serial Radiographs and IV Contrast Dual-Subtraction Radiography |
First Author Philip Edgcumbe |
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Title Feasibility of Ultrasound Screening for Hip Dysplasia in Primary Care Clinics Using AI |
First Author Jacob Jaremko |
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Title Automated Segmentation of the Humeral Cortex and Subacromial Bursa with Rotator Cuff Tear Detection on Shoulder Ultrasound Using Deep Learning |
First Author Jacob Jaremko |
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Title Using Deep Learning to Assess Teamwork During Cardiac Surgery |
First Author Mahdi (Elias) Ebnali |
Topics of interest to CLINICCAI include, but are not limited to:
Local Program Chair Dr. Philip Edgcumbe has arranged for several local events for MICCAI/CLINICCAI attendees. For more information, please click here.
CLINICCAI 2023 is grateful for the support of its sponsors:
