A5068024166- Hearing, Cochlea, Tinnitus, Genetics
- Ear Surgery and Otitis Media
- COVID-19 diagnosis using AI
- Sinusitis and nasal conditions
- Artificial Intelligence in Healthcare and Education
- Phonocardiography and Auscultation Techniques
- Vestibular and auditory disorders
- E-commerce and Technology Innovations
- Radiology practices and education
- Advanced Chemical Sensor Technologies
- Ultrasound in Clinical Applications
- Radiomics and Machine Learning in Medical Imaging
- Respiratory viral infections research
- Restraint-Related Deaths
- Obstructive Sleep Apnea Research
- Nasal Surgery and Airway Studies
- Respiratory Support and Mechanisms
- Soft tissue tumor case studies
- Neuroscience of respiration and sleep
- Oral and Maxillofacial Pathology
- Bone Tumor Diagnosis and Treatments
- Nicotinic Acetylcholine Receptors Study
Jichi Medical University
2022-2024
Children's Medical Center
2023
Jichi Medical University Hospital
2022-2023
Artificial intelligence models can learn from medical literature and clinical cases generate answers that rival human experts. However, challenges remain in the analysis of complex data containing images diagrams.
The integration of artificial intelligence (AI), particularly deep learning models, has transformed the landscape medical technology, especially in field diagnosis using imaging and physiological data. In otolaryngology, AI shown promise image classification for middle ear diseases. However, existing models often lack patient-specific data clinical context, limiting their universal applicability. emergence GPT-4 Vision (GPT-4V) enabled a multimodal diagnostic approach, integrating language...
近年, 医療分野において画像認識や自然言語処理など人工知能 (AI) の活用が進んでおり, どのように活用し, 危険があるのかについて理解することが, 安全で有効な医療応用に必要である. ChatGPT は2022年にリリースされた自然言語処理技術の一つで, 入力された指示 (プロンプト) に対して文章を生成し, 命令方法によって, その精度をさらに上げることが可能である. 米国における司法試験や医師免許試験では合格ラインに達する報告がなされているが, 非英語言語である日本語の医療分野における有効性についての報告は少ない. 今回, 2022年度耳鼻咽喉科専門医試験における のパフォーマンスについて評価し, 日本語の耳鼻咽喉科領域においての有効性と AI 活用の課題について検討した.
<sec> <title>BACKGROUND</title> Artificial intelligence models can learn from medical literature and clinical cases generate answers that rival human experts. However, challenges remain in the analysis of complex data containing images diagrams. </sec> <title>OBJECTIVE</title> This study aims to assess answering capabilities accuracy ChatGPT-4 Vision (GPT-4V) for a set 100 questions, including image-based 2023 otolaryngology board certification examination. <title>METHODS</title> Answers...
<sec> <title>BACKGROUND</title> The integration of artificial intelligence (AI), particularly deep learning models, has transformed the landscape medical technology, especially in field diagnosis using imaging and physiological data. In otolaryngology, AI shown promise image classification for middle ear diseases. However, existing models often lack patient-specific data clinical context, limiting their universal applicability. emergence GPT-4 Vision (GPT-4V) enabled a multimodal diagnostic...
<sec> <title>UNSTRUCTURED</title> </sec>
Objectives To investigate the characteristics of outpatients in pediatric otolaryngology department a tertiary Japanese hospital before and during COVID-19 pandemic. Methods In this retrospective study conducted at center Japan, patients aged 0–15 years who visited between 2017 2022 were included. The number was compared pandemic (January 2017–December 2022) by year, age, sex, disease for which patient examined. Additionally, diseases that most substantially contributed to change outpatient...
Solitary fibrous tumor (SFT) is a rare mesenchymal that sometimes encountered in the field of otolaryngology. SFT classified as an 'intermediate' (rarely metastasizing) 2020 WHO classification FIBROBLASTIC/MYOFIBROBLASTIC TUMOURS. It has been reported embolization required prior to surgery because high blood flow these tumors. In addition, postoperative recurrence also cases pleural primary tumors, underscoring importance preoperative diagnosis and careful observation. case herein, patient...
Abstract In acute aminoglycoside ototoxicity to unilateral inner ear, physical abnormalities, such as nystagmus and postural alteration, are relieved within a few days by neural compensation. To examine exploratory behavior over an extended period, freely moving of mouse after kanamycin injection was recorded in home-cage environment. A tail excluded from deep learning-mediated object detection because its delayed movement relative the body. All results were confirmed convolutional network...
In a rodent model of acute aminoglycoside ototoxicity to unilateral inner ear, physical abnormalities, such as nystagmus and postural alteration, are relieved within few days by neural compensation. However, how exploratory behavior changes after ototoxic damage in home-cage environment mice have not yet been elucidated. this study, kanamycin-induced ear injury was examined cage with wood-shavings natural bedding. To end, we developed machine learning robust detection for evaluation drug...
A woman in her 70s with a history of severe bilateral hearing loss since childhood and impaired language acquisition was brought to the emergency room acute progressive dyspnoea. Her intelligence not impaired. She arrived state cardiopulmonary arrest, frontal neck markedly