Luiz Carlos De Lima Ferreira
Biographic Data
| ID | 2849357 |
|---|---|
| NAME | Luiz Carlos De Lima Ferreira |
| GIVEN NAMES | Luiz Carlos De Lima |
| FAMILY NAME | Ferreira |
| SIGNATURE | FERREIRA L C L |
| AFFILIATIONS | Universidade Federal do Amazonas |
| ORCID | 0000-0002-9657-939X |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Desafíos bioéticos para el uso de la inteligencia artificial en oftalmología
Actualmente, el uso de la tecnología en medicina, especialmente en oftalmología, viene experimentando avances que, combinados con el uso de la inteligencia artificial, son prometedores para la detección y el diagnóstico de enfermedades oculares. La oftalmología utiliza muchas imágenes para obtener diagnósticos precisos, y la inteligencia artificial puede contribuir a un análisis más asertivo por su capacidad de procesar muchos datos e interpretar…
Desafios bioéticos do uso da inteligência artificial na oftalmologia
Atualmente, o uso da tecnologia na medicina, em especial na oftalmologia, passa por avanços, que, aliados à inteligência artificial, têm sido promissores na detecção e diagnóstico de doenças oculares. A oftalmologia utiliza muitas imagens para oferecer diagnósticos precisos, e a inteligência artificial parece oferecer uma análise mais assertiva pela capacidade de processar grande quantidade de dados e interpretar imagens médicas. Esses avanços te…
Bioethical challenges in the use of artificial intelligence in ophthalmology
The use of technology in medicine, especially in ophthalmology, is undergoing advances which, combined with artificial intelligence, are promising in the detection and diagnosis of eye diseases. Ophthalmology uses many images to offer accurate diagnoses, and artificial intelligence seems to provide a more assertive analysis due to its ability to process large data amounts and interpret medical images. These technological advances improve the chan…
Pediatric central nervous system infections in the Amazon: Clinical and laboratory profiles
Background Central nervous system (CNS) infections are important causes of mortality and morbidity in children, and they are related to severe problems such as hearing loss, neurological sequelae, and death. The objective was to describe clinical and laboratory exam profiles of children who were diagnosed with CNS infections. Methods We conducted a cross-sectional study based on medical records, which included pediatric patients aged from 3 month…
Syphilis in pregnancy and congenital syphilis in Amazonas State, Brazil: An Evaluation Using Database Linkage
This study analyzes notification of syphilis in pregnancy and congenital syphilis in Amazo- nas State, Brazil, from 2007 to 2009 and verifies underreporting in databases in the National Information System on Diseases of Notification (SINAN) and the occurrence of perinatal deaths associated with congenital syphilis and not reported in the Mortality Information System (SIM). This was a cross-sectional study with probabilistic record linkage between…
Syphilis in pregnancy and congenital syphilis in Amazonas State, Brazil: An Evaluation Using Database Linkage
This study analyzes notification of syphilis in pregnancy and congenital syphilis in Amazo- nas State, Brazil, from 2007 to 2009 and verifies underreporting in databases in the National Information System on Diseases of Notification (SINAN) and the occurrence of perinatal deaths associated with congenital syphilis and not reported in the Mortality Information System (SIM). This was a cross-sectional study with probabilistic record linkage between…
Syphilis in pregnancy and congenital syphilis in Amazonas State, Brazil: An Evaluation Using Database Linkage
This study analyzes notification of syphilis in pregnancy and congenital syphilis in Amazo- nas State, Brazil, from 2007 to 2009 and verifies underreporting in databases in the National Information System on Diseases of Notification (SINAN) and the occurrence of perinatal deaths associated with congenital syphilis and not reported in the Mortality Information System (SIM). This was a cross-sectional study with probabilistic record linkage between…
Pediatric central nervous system infections in the Amazon: Clinical and laboratory profiles
Background Central nervous system (CNS) infections are important causes of mortality and morbidity in children, and they are related to severe problems such as hearing loss, neurological sequelae, and death. The objective was to describe clinical and laboratory exam profiles of children who were diagnosed with CNS infections. Methods We conducted a cross-sectional study based on medical records, which included pediatric patients aged from 3 month…
Desafíos bioéticos para el uso de la inteligencia artificial en oftalmología
Actualmente, el uso de la tecnología en medicina, especialmente en oftalmología, viene experimentando avances que, combinados con el uso de la inteligencia artificial, son prometedores para la detección y el diagnóstico de enfermedades oculares. La oftalmología utiliza muchas imágenes para obtener diagnósticos precisos, y la inteligencia artificial puede contribuir a un análisis más asertivo por su capacidad de procesar muchos datos e interpretar…
Desafios bioéticos do uso da inteligência artificial na oftalmologia
Atualmente, o uso da tecnologia na medicina, em especial na oftalmologia, passa por avanços, que, aliados à inteligência artificial, têm sido promissores na detecção e diagnóstico de doenças oculares. A oftalmologia utiliza muitas imagens para oferecer diagnósticos precisos, e a inteligência artificial parece oferecer uma análise mais assertiva pela capacidade de processar grande quantidade de dados e interpretar imagens médicas. Esses avanços te…
Bioethical challenges in the use of artificial intelligence in ophthalmology
The use of technology in medicine, especially in ophthalmology, is undergoing advances which, combined with artificial intelligence, are promising in the detection and diagnosis of eye diseases. Ophthalmology uses many images to offer accurate diagnoses, and artificial intelligence seems to provide a more assertive analysis due to its ability to process large data amounts and interpret medical images. These technological advances improve the chan…
Artificial Intelligence in Healthcare and Education (3 works) · Medicine (3 works) · Retinal Imaging and Analysis (3 works) · Humanities (2 works) · Pediatrics (2 works) · Philosophy (2 works) · Philosophy (2 works) · Retinal and Optic Conditions (2 works) · AI in cancer detection (1 works) · Antibiotics (1 works)