IIT Delhi launches executive programme on Artificial Intelligence in healthcare
The Indian Institute of Technology (IIT) Delhi has announced a new online executive programme focused on artificial intelligence (AI) in healthcare, aiming to equip medical and technology professionals with emerging digital skills. The 24-week course, offered through the institute's Continuing Education Programme (CEP), is designed to address India's growing demand for AI-driven healthcare solutions, reported IANS.
Open to clinicians, engineers, data specialists, and med-tech entrepreneurs, the programme will cover a wide range of applications: from AI in diagnostics and hospital operations to public health and automation. The curriculum begins with core AI and machine learning concepts and advances to areas such as: Deep learning for medical imaging
Natural language processing for electronic health records
Predictive analytics and risk scoring
IoT-based monitoring
Public health data intelligence
Participants will gain practical exposure to clinical datasets and hospital information systems, and work on a capstone project under the mentorship of IIT Delhi faculty.
"AI has become integral to modern healthcare. This programme is designed to help professionals lead the sector's digital transformation," said Prof. Manav Bhatnagar, Head of CEP at IIT Delhi.
The programme will be delivered through live weekend sessions, allowing flexibility for working professionals. Additionally, participants will have access to sessions with industry leaders, hospital CIOs, and med-tech innovators, focused on real-world implementation and technology trends.
TeamLease EdTech will support the course as IIT Delhi's technology and student success partner. "This collaboration aims to build cross-functional expertise in clinical and data intelligence," said Shantanu Rooj, Founder and CEO of TeamLease EdTech.
The launch coincides with a significant global shift toward AI in healthcare. Estimates from the World Economic Forum suggest AI could add over $150 billion annually to the healthcare economy through increased efficiency and better patient outcomes. In India, NITI Aayog and EY project the digital healthcare market to surpass $37 billion by 2030, fueled by innovations in AI diagnostics and telemedicine.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Time of India
14 minutes ago
- Time of India
Microsoft saves over $500 million in call centers by using AI, while cutting jobs
Microsoft saved more than $500 million in its call centers alone last year by using artificial intelligence, Bloomberg News reported on Wednesday. The tech giant last week announced plans to lay off nearly 4% of its workforce as it looks to rein in costs amid hefty investments in AI infrastructure. In May, the company had announced layoffs affecting around 6,000 workers. AI tools were helping improve productivity in segments from sales and customer service to software engineering and the company has begun using AI to handle interactions with smaller customers, Microsoft's Chief Commercial Officer Judson Althoff said during a presentation this week, according to the Bloomberg News report. The nascent effort was already generating tens of millions of dollars, the report said, citing a person familiar with his comments. AI generated 35% of the code for new products, accelerating launch times, Althoff said, according to the report. Microsoft did not immediately respond to a Reuters request for comment. The Windows maker has earmarked $80 billion in capital spending this fiscal year, with most of it aimed at expanding data centers to ease capacity bottlenecks for artificial-intelligence services. Big tech companies have been spending heavily on AI as they view the new technology as a major growth engine, while slashing costs elsewhere to safeguard profits.
Time of India
14 minutes ago
- Time of India
Zuckerberg's Meta Superintelligence Labs poaches top AI talent in Silicon Valley
Meta Platforms is racing to secure top artificial intelligence talent for its newly created Superintelligence Labs to better compete with rivals including OpenAI, Google and Anthropic. The Facebook and Instagram parent's aggressive hiring for its unified AI initiative has intensified the talent war in Silicon Valley. It also follows senior staff departures and a poor reception for Meta's latest open-source Llama 4 model, challenges that have allowed Google, OpenAI and China's DeepSeek to seize momentum in the AI race. In June, OpenAI CEO Sam Altman said Meta had offered his employees bonuses of $100 million to recruit them. Here is a list of the new recruits at Meta: Alexandr Wang Meta hired the former Scale AI CEO to head the new division as chief AI officer, according to a memo reviewed by Reuters. Meta CEO Mark Zuckerberg has also hired some Scale AI staff after the company invested $14.3 billion in the data-labeling startup. Nat Friedman The former GitHub CEO will co-lead the unit with Wang and head the company's work on AI products and applied research. Friedman co-founded venture capital firm NFDG, which has backed high-profile startups including Safe Superintelligence, Perplexity and Figma. Daniel Gross The former CEO of AI startup Safe Superintelligence has joined the team to lead the AI products division, sources told Reuters. Gross had co-founded NFDG. Ruoming Pang Pang was the head of Apple's Foundation Models team and responsible for advanced AI features, sources familiar with the matter told Reuters. He joined Meta with a multi-million-dollar compensation package, according to Bloomberg News. Trapit Bansal The AI researcher joined OpenAI in 2022, where he played a key role in developing the "o-series" reasoning models. Bansal has directly worked with OpenAI and Safe Superintelligence co-founder Ilya Sutskever, according to his LinkedIn page. Shuchao Bi Bi joined OpenAI in 2024 after working for over 10 years at YouTube and Google. He co-founded YouTube Shorts and built multi-stage deep learning models to optimize Google Ads performance, according to his LinkedIn page. Huiwen Chang Chang joined OpenAI in 2023 after working as a Research Scientist at Google for more than four years, according to her LinkedIn page. She is a co-creator of GPT-4o, OpenAI's multimodal model, and invented MaskGIT and Muse text-to-image architectures at Google Research. Ji Lin Lin joined OpenAI in 2023, where he contributed to building advanced multimodal reasoning systems and Operator reasoning stack, OpenAI's computer-using agent architecture. Joel Pobar Pobar joined Anthropic in 2023, where he oversaw infrastructure and inference pipelines for large language models. He also worked at Meta for about 11 years. Jack Rae Rae was a pre‑training technical lead for Google DeepMind's Gemini and spearheaded the reasoning development for Gemini 2.5. Hongyu Ren Ren joined OpenAI in 2023, co-creating multiple o‑series and GPT‑4o models. He helped lead post-training efforts for the ChatGPT maker's most advanced reasoning models. Johan Schalkwyk Schalkwyk was a former Google Fellow and oversaw major research and product integrations in speech AI. He has joined Meta Superintelligence Labs as a Voice Lead, according to his LinkedIn page. Pei Sun Sun worked on post-training, coding and reasoning for Gemini at Google DeepMind. He previously created the last two generations of self-driving unit Waymo's perception models. Jiahui Yu Yu joined OpenAI in 2023. Previously, he led the perception team at the AI startup. He co-created o3, o4-mini, GPT-4.1 and GPT-4o models. Shengjia Zhao Zhao worked as a research scientist at OpenAI. He co-created ChatGPT, GPT-4, all mini models, 4.1 and o3.
Hans India
2 hours ago
- Hans India
FDP highlights AI in healthcare
Madanapalle: AICTE ATAL Faculty Development Programme at Shri Gnanambica Degree College (A) was held on Wednesday. Experts highlighted the role of Artificial Intelligence in healthcare. Dr Shilpa Nayuni, Chief Scientist at Aaran Scientific, spoke on AI's impact on medical imaging and diagnosis. Dr Sharon Priya Alexander, Bioinformatics Scientist at SVIMS, presented insights on AI in drug discovery and personalised medicine. Faculty, scholars and students actively participated in the sessions.
