Assessing the impact of foundation course among medical students affecting their outlook, responsibilities and attitude towards the medical profession

Background: The medical education programme apart from imparting knowledge has prepare the medical graduate to appraise oneself with the evolving new evidences  for appropriate care of the patient considering  the health care needs of the patient population, focusing on assessing the performance (outcomes), learner’s continuous quality improvement and making it learner driven. The universities across the world are developing and implementing orientation programmes to further strengthen medical education. Objective: To evaluate the student’s perception towards the contents of the foundation course as well as its relevance in their day to day academic activities. Methods: A cross sectional study was conducted among all the students of our institute. The feedback data for the foundation course was collected from the first years after six months along with the students across the years in medical school, as they had undergone only one day orientation programme.  Results:  About 457 students participated in the study of which 94 belonged to the first MBBS. About 90% of the students agreed with concept of the foundation course and about 85% of senior students felt the need for the same.&nbsp

Study of normal anatomy and variations in gall bladder

Background: The extra hepatic biliary apparatus consists of right and left hepatic ducts, common hepatic duct, gall bladder, cystic duct and common bile duct which collects and delivers the bile from liver to second part of duodenum. Anatomical variations of biliary tree occur with sufficient frequency to be of concern to the surgeons operating in this area. Identification of anatomical details is necessary for accurate detailing of biliary tree to avoid inadvertent damage to biliary ductal system. Objective: To study the normal anatomy and variations of gall bladder by dissection method. Methods: In the present study a total number of 50 adult human livers with lesser Omentum, duodenum and pancreas were collected from the dissected cadavers from the department of anatomy KVG Medical College Sullia and Chamarajanagar institute of medical sciences, Chamarajanagar. The various parameters of the gall bladder and biliary ductal system were recorded and photographed. Observations and results: The following variations were observed in the present study. Hartmann’s pouch was observed in 42% (21/50).  Hourglass GB was observed in 2% (1/50).  Folded fundus was observed in 2% (1/50). Intrahepatic GB was observed in 4%.&nbsp

Assessing the effectiveness of online learning for first year MBBS students during COVID-19 lockdown

Background: From last few decades there are many changes taking place in the field of medical education moving from traditional method to more towards online/ e-learning method using internet. The advent of electronic devices like mobile, i- pad, laptops and explosion of social media technology provides opportunities for learners to create their own personalised learning experience. Objective: To assess the effectiveness of online learning among first MBBS students during COVID-19.  Methodology: A Cross sectional study was conducted among 120 MBBS First year medical students for a period of 6 months (May 2020 to November 2020) at KVG Medical College. Informed consent was obtained from all the students prior to the start of the study. The online classes were conducted due to covid-19 lockdown in our institution from May 2020 as per the guidelines from RGUHS.  Results: In the study majority of students had concentration time of 30 min (71.7%), majority of them opined that they had moderate disturbance during online class (53.3%), majority of them opined that they had moderate internet or network issues (53.3%), majority of them used mobile phone for online class (70%).&nbsp

Lung cancer diagnosis based on weighted convolutional neural network using gene data expression

Abstract Lung cancer is thought to be a genetic disease with a variety of unknown origins. Globocan2020 report tells in 2020 new cancer cases identified was 19.3 million and nearly 10.0 million died owed to cancer. GLOBOCAN envisages that the cancer cases will raised to 28.4 million in 2040. This charge is superior to the combined rates of the former generally prevalent malignancies, like breast, colorectal, and prostate cancers. For attribute selection in previous work, the information gain model was applied. Then, for lung cancer prediction, multilayer perceptron, random subspace, and sequential minimal optimization (SMO) are used. However, the total number of parameters in a multilayer perceptron can become extremely large. This is inefficient because of the duplication in such high dimensions, and SMO can become ineffective due to its calculating method and maintaining a single threshold value for prediction. To avoid these difficulties, our research presented a novel technique including Z-score normalization, levy flight cuckoo search optimization, and a weighted convolutional neural network for predicting lung cancer. This result findings show that the proposed technique is effective in precision, recall, and accuracy for the Kent Ridge Bio-Medical Dataset Repository