Posts by Matthew G. Crowson, MD, MPA, MASc
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Artificial Intelligence Enters the Ear
Surgeons at Mass Eye and Ear have engineered an artificial intelligence (AI) device that could diagnose a middle ear infection more accurately than a clinician.
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Artificial Intelligence Feasible for Predicting Malignant Transformation of Oral Lesions
Otolaryngologists at Mass Eye and Ear developed machine learning models that are 80% accurate in predicting malignant transformation in patients with a variety of oral lesions and 71% accurate in those with a pathology-confirmed diagnosis of oral dysplasia or submucosal fibrosis.
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Artificial Intelligence Improves Diagnosis of Pediatric Middle Ear Effusion
Matthew G. Crowson, MD, MPA, MASc, Michael S. Cohen, MD, Christopher J. Hartnick, MD, and colleagues trained a neural network to diagnose pediatric middle ear effusion using a novel approach: the training set of images were tympanic membrane photos taken during myringotomy. When applied to a test set, the algorithm's diagnostic accuracy was 84%.
Biography
Matthew G. Crowson, MD, MPA, MASc, is an otolaryngologist at Massachusetts Eye and Ear and an assistant professor in Otolaryngology–Head and Neck Surgery at Harvard Medical School.
Mass Eye and Ear/Mass General Otolaryngology–Head and Neck Surgery
A teaching hospital of Harvard Medical School, Mass Eye and Ear/Massachusetts General Hospital combines the expertise of highly specialized ear, nose, and throat physicians, audiologists, speech-language pathologists and auxiliary health care professionals to provide care for patients with problems affecting the ear, nose, throat, head and neck areas. The department, which is led by Chief and Chair Mark A. Varvares, MD, FACS, is one of the largest otolaryngology–head and neck surgery (OHNS) departments in the country, with more than 70 physicians staffed at 15 locations in the greater Boston area.
