Apples CH.6 Review

Training examples

Examples used to train an AI system

Population

Group of individuals to whom an AI system applies

Widespread acceptance

Greater acceptance by a larger population

Adoption of AI in healthcare

Integration and use of AI in the healthcare industry

Precise risk articulation

Clear and accurate communication of risks

Improved risk literacy

Enhanced understanding of risks

Understanding specific causes

Gaining insight into the specific reasons behind an issue

Approach when validating results

Method used to verify and confirm the accuracy of results

Evidence-based approach

Relying on scientific evidence to guide decisions and actions

Data from epidemiological source

Information collected from a study of diseases in a population

Comparison to patient population

Assessing how the collected samples relate to the actual patients

Working with the NHS

Collaborating and providing services within the National Health Service

Upfront about uncertainties

Being transparent and open about unknowns and efforts to resolve them

Validation and reproducible research

Process of confirming and replicating research findings

NHS healthcare context

The specific environment and conditions within the NHS

Trying new procedures or drugs

Experimenting with novel treatments or medications

Phase three clinical trial

The third stage of testing a new treatment on humans

Research context with controlled circumstances

A controlled setting for conducting research

Application of deep learning techniques

Using deep learning methods in a specific context

Identify breast cancer

Detecting the presence of breast cancer

Advisory service for data-driven tech

Providing guidance and advice on technology driven by data

Delivery of guidance, advice, and information

Providing support and knowledge in a specific field

Regulatory and evaluation pathway

The process of assessing and regulating health and social care

Principal Scientific Advisor

The main scientific advisor in an organization

Management Training Scheme

A program for training managers

AI can enhance rather than replace humans

Artificial intelligence can improve human capabilities instead of replacing them

Combining deep learning system with human pathologist

Using both a deep learning system and a human pathologist together

Increased accuracy and decreased human error rate

Improved precision and reduced mistakes made by humans

Deep learning system less accurate than human pathologist

The deep learning system had lower accuracy compared to the human pathologist

Experience level of the clinician

The level of expertise and familiarity of the clinician

Engagement and perceived benefit

Involvement and subjective assessment of advantages

AI in relation to job performance

The impact of AI on an individual's work effectiveness

Role of technology in healthcare

The function and influence of technology in the healthcare field

Job security concerns

Worries about the stability of employment

Explaining AI solutions and involving people

Communicating and engaging individuals in AI-related discussions

Role of AI in healthcare

The purpose and significance of AI in the healthcare industry

Consideration of AI implementation

Thinking about the integration of AI into a specific context

Useful solution for people

A solution that is beneficial and practical for individuals

Focus of PhD on digital media

Research topic centered around digital media

Exploring potential of digital health

Investigating the possibilities and benefits of digital health

Trading arm of the NHS Trust

A business entity associated with the NHS Trust

AI adoption in NHS organizations

The integration and acceptance of AI in NHS organizations

Ability to adopt and implement AI tools

The capacity to incorporate and use AI tools effectively

Professional background as a social worker

Previous experience and education as a social worker

Technical skills on Amazon Web Services

Proficiency in using Amazon Web Services

Exploration of NLP, crypto markets, financial markets, and healthcare

Investigation and study of various topics including NLP and financial markets

Integration with electronic patient record

Incorporation and connection with the patient's electronic medical record

Rosetta Stone

A person who acts as a bridge between different groups

Integration with hospital systems

Incorporation and connection with the systems used in hospitals

Methods in research

Approaches and techniques used in conducting research

Importance of researchers engaging with healthcare professionals

The significance of collaboration between researchers and healthcare professionals

Innovation team at Duke's

A team focused on innovation within Duke's organization

Challenges in translating research into real-life application

Difficulties in applying research findings to practical situations

Skills of the Innovation team at Duke's

Capabilities and expertise of the Innovation team at Duke's

Success of Happitech

Factors contributing to the achievement of Happitech

Importance of leadership buy-in

The significance of support and endorsement from leaders

Development of AI based on radiological images

Creating AI models using radiological images as input

AI functioning by itself

AI being self-sufficient and able to operate independently

Good team mix in AI development

The importance of having a diverse and skilled team in AI development

Founders developing solutions in an industry

Entrepreneurs creating solutions within a specific field

Engaging with healthcare professionals in AI development

Involving healthcare professionals in the process of AI development

Addressing development bias in AI

Taking steps to mitigate bias in the development of AI

Healthcare professionals facing development bias in AI

Healthcare professionals who may experience bias in AI development

AI development based on radiological images

Creating AI models using radiological images as input

AI models performing well

AI models demonstrating high performance and accuracy

CTO-as-a-service

Chief Technology Officer provided as a service

Background as a former academic

Previous experience and education as an academic

Number of venture funded start-ups founded

The count of start-ups that received funding

Visiting researcher at Berlin Institute of Health

A researcher who visits and collaborates with the Berlin Institute of Health

Setting up an AI competence centre

Establishing a center focused on AI expertise

Approaching the narrow focus problem

Dealing with the challenge of having a narrow focus

Addressing narrow focus

Taking steps to overcome the limitations of a narrow focus

Work before starting Qure.ai

Previous employment and projects before founding Qure.ai

What radiologists look for in chest x-rays

The abnormalities and indications they search for in chest x-rays

Integration of ML into clinical contexts

Incorporating machine learning into clinical settings

Specialization in Emergency Medicine

Focusing on the field of Emergency Medicine

Considering market integration and user needs

Taking into account market integration and user requirements

Acquisition of innovative technology

Obtaining new and advanced technology

Collaboration with cardiologists and GPs

Working together with cardiologists and general practitioners

Background as a data scientist

Previous experience and education as a data scientist

Alternative to screening for AF

An option other than conducting AF screening

Study on screening for AF using EHRs and Apple Watches

Research on the effectiveness of using EHRs and Apple Watches for AF screening

Risk of screening people in their 40s and 50s

The potential for a high number of false positive results when screening this age group

Identifying the right at-risk patients

Ensuring the correct identification of patients at risk

Focus when implementing technology

The main area of attention during technology implementation

Alerting patients and clinicians

Notifying patients and clinicians of important information or actions

Approach to developing workflows

The method used to create and implement workflows

Indicator for success of AI in healthcare

A measure that determines the effectiveness of AI in healthcare

Considering new technologies

Taking into account the implications of new technologies

Consideration of AI

Thinking about the use and impact of AI

Opportunities for AI

Potential areas where AI can be applied

Distinguishing good surgeons from the best

Identifying the qualities that separate good surgeons from the best

AI suitability

Determining whether AI is appropriate for a specific situation

AI not suitable in every situation

AI may not be the right solution for every circumstance

Potential market or clinical impact

The expected influence on the market or clinical outcomes

Opportunities for AI in the near future

Potential areas where AI can be applied in the coming years

Potential impact of AI in healthcare

The expected effects of AI on the healthcare industry

Input for the solution

The data or information used as input for the solution

Sale of Watson Health business

The transaction involving the sale of the Watson Health business

Costs associated with the solution

The expenses related to the implementation and use of the solution