AI Medical Compendium Topic

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Endoscopy

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Hybrid Robotics for Endoscopic Transnasal Skull Base Surgery: Single-Centre Case Series.

Operative neurosurgery (Hagerstown, Md.)
BACKGROUND: Only preclinical studies and case reports have described robotic surgery for endoscopic transnasal skull base surgery.

Accurate diagnosis of endoscopic mucosal healing in ulcerative colitis using deep learning and machine learning.

Journal of the Chinese Medical Association : JCMA
BACKGROUND: In clinical applications, mucosal healing is a therapeutic goal in patients with ulcerative colitis (UC). Endoscopic remission is associated with lower rates of colectomy, relapse, hospitalization, and colorectal cancer. Differentiation o...

Robotic-Assisted Tubular Transoral Parapharyngeal Approach to the Ventral Craniovertebral Junction.

Operative neurosurgery (Hagerstown, Md.)
BACKGROUND: Transoral robotic surgery (TORS) has become a routine technique for treating benign and malignant lesions of the oropharynx with the advantage of reducing morbidity compared to open surgical techniques. However, TORS has not been used rou...

Transoral Excision of Parapharyngeal Space Tumors.

Otolaryngologic clinics of North America
Transoral excision of parapharyngeal space (PPS) tumors has increased in popularity along with the increased use of robotic and endoscopic surgical technology. Here, the authors highlight the indications, techniques, outcomes, and complications of tr...

Accuracy of artificial intelligence-assisted detection of esophageal cancer and neoplasms on endoscopic images: A systematic review and meta-analysis.

Journal of digestive diseases
OBJECTIVE: To investigate systematically previous studies on the accuracy of artificial intelligence (AI)-assisted diagnostic models in detecting esophageal neoplasms on endoscopic images so as to provide scientific evidence for the effectiveness of ...

Videomics: bringing deep learning to diagnostic endoscopy.

Current opinion in otolaryngology & head and neck surgery
PURPOSE OF REVIEW: Machine learning (ML) algorithms have augmented human judgment in various fields of clinical medicine. However, little progress has been made in applying these tools to video-endoscopy. We reviewed the field of video-analysis (here...

[Application and progress of artificial intelligence in endoscopic diagnosis of superficial esophageal cancer].

Zhonghua zhong liu za zhi [Chinese journal of oncology]
China is a country with high incidence of esophageal cancer. Advanced esophageal cancer not only brings serious threat to the health of patients, but also brings heavy economic burden to their families and society. Early diagnosis and treatment of es...

Endoscopy-assisted magnetic navigation of biohybrid soft microrobots with rapid endoluminal delivery and imaging.

Science robotics
High-precision delivery of microrobots at the whole-body scale is of considerable importance for efforts toward targeted therapeutic intervention. However, vision-based control of microrobots, to deep and narrow spaces inside the body, remains a chal...

Challenges of developing artificial intelligence-assisted tools for clinical medicine.

Journal of gastroenterology and hepatology
Machine learning, a subset of artificial intelligence (AI), is a set of computational tools that can be used to enhance provision of clinical care in all areas of medicine. Gastroenterology and hepatology utilize multiple sources of information, incl...

Clinical decision support system, using expert consensus-derived logic and natural language processing, decreased sedation-type order errors for patients undergoing endoscopy.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Determination of appropriate endoscopy sedation strategy is an important preprocedural consideration. To address manual workflow gaps that lead to sedation-type order errors at our institution, we designed and implemented a clinical decisi...