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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
Endometriosis- Updates
Endometriosis is a chronic gynecological condition where endometrial-like tissue grows outside the uterus, causing pelvic pain, dysmenorrhea, dyspareunia, and infertility. The ectopic tissue responds to hormonal changes, leading to inflammation, adhesions, and scarring. Diagnosis is based on clinical symptoms, imaging (ultrasound, MRI), and confirmed by laparoscopy with biopsy. Treatment includes NSAIDs, hormonal therapy (OCPs, progestins, GnRH analogs), and surgical excision for severe cases. Fertility treatments like IVF may be needed. While not curable, early diagnosis and management can relieve symptoms and improve quality of life.
Case-Based Approach to Managing GI Malignancies
A Case-Based Approach to managing gastrointestinal (GI) malignancies involves applying a personalized, patient-centered strategy using specific case details to guide treatment decisions. It emphasizes a multidisciplinary team approach, where oncologists, surgeons, pathologists, and radiologists collaborate to determine the best course of action based on tumor type, stage, and patient factors. This method allows for tailored treatment plans, integrating surgery, chemotherapy, radiotherapy, and targeted therapies to optimize outcomes. By discussing individual cases, this approach also aids in identifying potential challenges and refining management protocols to improve patient care.
Acne: Disorders and Treatment Approaches
Acne is a common dermatological condition caused by clogged pores, excess sebum production, bacterial growth, and inflammation. It can manifest as blackheads, whiteheads, papules, pustules, or cysts, often leading to scarring if untreated. Various factors, including hormonal changes, diet, stress, and genetics, influence its severity. Treatment approaches range from topical and oral medications, such as retinoids, antibiotics, and hormonal therapy, to advanced procedures like chemical peels and laser therapy. A personalized skincare regimen, along with lifestyle modifications, plays a crucial role in managing and preventing acne.
Cardiac Rehabilitation
Cardiac rehabilitation is a structured program designed to improve cardiovascular health after heart-related conditions such as heart attacks, heart failure, or surgeries like bypass or stenting. It includes supervised exercise, heart-healthy lifestyle education, nutrition counseling, stress management, and medication guidance. The goal is to enhance heart function, reduce the risk of future heart problems, and improve overall well-being. A multidisciplinary team, including doctors, physiotherapists, and dietitians, tailors the program to each patient’s needs. Regular participation in cardiac rehab lowers mortality rates, prevents hospital readmissions, and promotes long-term cardiovascular health, making it an essential part of heart disease recovery.
Role of Telemedicine in Modern Healthcare
Telemedicine plays a crucial role in modern healthcare by enabling remote consultations, reducing the need for in-person visits, and improving access to medical expertise. It enhances patient care through real-time diagnosis, chronic disease management, and mental health support. By integrating AI and digital health technologies, telemedicine streamlines workflows and optimizes healthcare delivery. It is especially beneficial in rural and underserved areas, bridging gaps in specialist care. As technology advances, telemedicine continues to revolutionize healthcare, making it more efficient, accessible, and patient-centered.
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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.