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The Role of AI in Ophthalmology
Artificial Intelligence (AI) is revolutionizing ophthalmology by enhancing diagnostic accuracy and improving patient care. AI-powered tools, such as deep learning algorithms, are capable of detecting eye diseases like diabetic retinopathy, glaucoma, and age-related macular degeneration with remarkable precision. These technologies enable early detection and intervention, often outperforming traditional methods. AI also streamlines workflows by analyzing imaging data rapidly, freeing up time for ophthalmologists to focus on patient care. Furthermore, AI-driven telemedicine solutions are expanding access to eye care in remote and underserved areas. As the field advances, AI holds the potential to transform ophthalmology into a more efficient and patient-centered discipline.
About the Speaker
Dr. Manish Chhabra
Consultant Ophthalmologist, Apollo Hospitals, Chandigarh
Dr. Manish Chhabra is an Ophthalmologist with a clinical experience of 9 years including 1 year of experience in Glaucoma Subspecialty at PGIMER, Chandigarh. He is currently practicing in Apollo clinic & CHD city hospital, Sector 8C, Chandigarh. He has a special interest in teaching and has been associated with Delhi Academy of Medical Sciences (DAMS) from past 8 years where he has taught thousands of students both in India & abroad
Upcoming Case Discussions
Gynaecologist’s Guide to Ovarian Cancer
Join us for a special webinar on World Ovarian Cancer Day, titled "Gynaecologist’s Guide to Ovarian Cancer." This expert-led session will delve into the latest advancements in early diagnosis, risk stratification, and evidence-based management of ovarian cancer. Tailored for gynecologists and healthcare professionals, the session will also explore real-world case discussions and multidisciplinary treatment approaches. Let’s come together to raise awareness and empower clinicians in the fight against this silent but deadly disease
Massive Transfusion Protocol
Massive Transfusion Protocol (MTP) is a standardized medical procedure activated in cases of severe hemorrhage, typically involving the rapid administration of large volumes of blood products. The goal is to restore circulating volume, maintain hemostasis, and prevent the lethal triad of hypothermia, acidosis, and coagulopathy. MTP usually involves a balanced ratio of packed red blood cells, plasma, and platelets, often in a 1:1:1 ratio. Early activation and coordination among trauma teams, laboratory services, and blood banks are essential for its success.
Sleep Apnea and Daytime Fatigue
Sleep Disorder Breathing is a term for a group of conditions with abnormal breathing patterns during sleep. This affects everyday functioning and well being.There are few types of SDB which include upper airways resistance, hypopnea, apnea, catathrenia and heavy snoring. People suffering with SDB can have daytime symptoms that result in poor sleep also. There can also be sleepiness, depressed mood, irritability and cognitive dysfunction.
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Dr. Manish Chhabra 's Talks on Assimilate
- 10th -Dec -2024, TIME : 5:00PM TO 6:00 PM
- 0
Artificial Intelligence (AI) is revolutionizing ophthalmology by enhancing diagnostic accuracy and improving patient care. AI-powered tools, such as deep learning algorithms, are capable of detecting eye diseases like diabetic retinopathy, glaucoma, and age-related macular degeneration with remarkable precision. These technologies enable early detection and intervention, often outperforming traditional methods. AI also streamlines workflows by analyzing imaging data rapidly, freeing up time for ophthalmologists to focus on patient care. Furthermore, AI-driven telemedicine solutions are expanding access to eye care in remote and underserved areas. As the field advances, AI holds the potential to transform ophthalmology into a more efficient and patient-centered discipline.
- 10th -Dec -2024, TIME : 5:00PM TO 6:00 PM
- 0
Artificial Intelligence (AI) is revolutionizing ophthalmology by enhancing diagnostic accuracy and improving patient care. AI-powered tools, such as deep learning algorithms, are capable of detecting eye diseases like diabetic retinopathy, glaucoma, and age-related macular degeneration with remarkable precision. These technologies enable early detection and intervention, often outperforming traditional methods. AI also streamlines workflows by analyzing imaging data rapidly, freeing up time for ophthalmologists to focus on patient care. Furthermore, AI-driven telemedicine solutions are expanding access to eye care in remote and underserved areas. As the field advances, AI holds the potential to transform ophthalmology into a more efficient and patient-centered discipline.